Alternatives to Rocket D3

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

TeamDesk is the leading low-code platform for creating powerful and flexible web-based databases with no-coding. TechRadar named TeamDesk as the best database platform of the year. TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding. Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information. TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs. TeamDesk provides: AI (Artificial Intelligence) integration API, Web hooks, Zapier unlimited data storage unlimited number of records and tables unlimited database complexity free trial free unlimited support for a low flat rate. TeamDesk is fully scalable. From small companies to large enterprises, from specific manufactures to vertical business integration, system scalability accommodates customers' business growth and adjusts to evolving business model. Enterprise Edition supports custom domain, white labeling, SSO via SAML2, unlimited databases centralized security management.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

Amazon Relational Database Service (Amazon RDS) simplifies the process of establishing, managing, and scaling a relational database in the cloud. It offers a cost-effective and adjustable capacity while taking care of tedious administrative tasks such as hardware provisioning, setting up databases, applying patches, and performing backups. This allows you to concentrate on your applications, ensuring they achieve fast performance, high availability, security, and compatibility. Amazon RDS supports various database instance types optimized for memory, performance, or I/O, and offers a selection of six well-known database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Additionally, the AWS Database Migration Service facilitates the seamless migration or replication of your existing databases to Amazon RDS, making the transition straightforward and efficient. Overall, Amazon RDS empowers businesses to leverage robust database solutions without the burden of complex management tasks.

SAP HANA Cloud serves as a fully managed in-memory database as a service (DBaaS) that operates in the cloud. Functioning as the essential data backbone for the SAP Business Technology Platform, it assimilates information from various sectors of the organization, allowing for quicker decision-making based on real-time data. This platform empowers users to construct data solutions using contemporary architectures, yielding actionable insights instantly. As the cloud variant of SAP HANA, it provides the same robust capabilities while being scalable to fit specific requirements, allowing for the processing of diverse business data and facilitating advanced analytics on live transactions with minimal need for optimization. Users can effortlessly connect to distributed data through native integrations, develop applications and tools both in the cloud and on-premises, and manage transient data efficiently. By establishing a singular source of truth, enterprises can access reliable information while ensuring security, privacy, and data anonymization, all upheld by a foundation of enterprise-grade reliability. Furthermore, SAP HANA Cloud supports the evolving needs of businesses as they adapt to dynamic market conditions.

Trust YDB to manage your application state, no matter the size or frequency of modifications it undergoes. It excels at processing petabytes of data and millions of transactions each second without breaking a sweat. You can create analytical reports from the data housed in YDB, achieving performance levels akin to specialized database management systems. There is no need to sacrifice consistency or availability in the process. Leverage the YDB topics feature for dependable data transmission between your applications, or to access change data capture from standard tables. You have the option to select between exactly-once and at-least-once delivery semantics. YDB is engineered to operate across three availability zones, guaranteeing service continuity even if one zone experiences downtime. It automatically recovers from disk, server, or data center failures with minimal latency interruptions, ensuring your applications remain operational and resilient. With YDB, you can focus on scaling your applications while it takes care of the underlying infrastructure.

Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.

AnySQL Maestro stands out as a top-tier, versatile administration tool designed for managing, controlling, and developing databases. The SQL Maestro Group presents a comprehensive suite of database management and web development solutions tailored for the leading database servers, ensuring exceptional performance, scalability, and reliability necessary for modern database applications. It offers support for a wide range of database engines, including SQL Server, MySQL, and Access, featuring capabilities for database design, data management, and various operations like editing, grouping, sorting, and filtering. The user-friendly SQL Editor enhances productivity with its code folding and multi-threading functionalities. Additionally, it includes a visual query builder and facilitates data import/export across numerous popular formats. A robust BLOB viewer/editor is also included, further enriching the user experience. Furthermore, the application equips users with an extensive array of tools to edit and execute SQL scripts, create visual diagrams for numerical data, build OLAP cubes, among other features, all while maintaining a user interface that is as intuitive as browsing through Windows Explorer. This makes AnySQL Maestro not only powerful but also accessible to users of all levels.

Manage your enterprise seamlessly from any location with the innovative relational database management system (RDBMS) offerings from SAP SQL Anywhere. This solution ensures secure and dependable data management for servers lacking a dedicated database administrator, while providing synchronization capabilities for thousands of mobile devices, IoT systems, and remote settings. By enabling the delivery of essential business information to remote offices and mobile users, organizations can enhance real-time decision-making on the ground. Mobile applications can operate reliably and efficiently without the need for on-site technical expertise, offering an uninterrupted experience for mobile and remote employees, even in offline scenarios. Additionally, the system simplifies data maintenance with integrated self-management features that empower users to quickly and effectively address any issues. With robust encryption capabilities, your data remains protected and secure throughout transmission and exchange, safeguarding sensitive information from potential threats. This comprehensive approach not only boosts productivity but also fosters an environment of trust and reliability for your business operations.

DBStack, offered by Alibaba Cloud, serves as a comprehensive platform for database management that encompasses a wide range of services, including online transaction processing (OLTP), online analytical processing (OLAP), and NoSQL databases, along with a robust suite of database ecosystem solutions. This platform is designed to provide enterprises with dependable, secure, and affordable database options to fulfill their needs for data production and integration, real-time data processing, analytical insights, and effective data management. Additionally, DBStack integrates all of Alibaba Cloud's cloud-native management capabilities, ensuring high availability, scalability, performance enhancement, manageability, cost efficiency, and compliance with security standards, achieving a minimum recovery point objective (RPO) of zero and a recovery time objective (RTO) of under one minute. As a result, businesses can rely on DBStack to support their critical operations and maintain seamless data integrity.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

IBM IMS™ serves as a hierarchical database management system designed for online transaction processing (OLTP) as well as online batch processing. The latest version, IMS 15, enhances data security through pervasive encryption and lowers the cost of deriving meaningful insights by maintaining data on IBM Z. Similar to its predecessor, IMS 14, IMS 15 boasts exceptional performance, reliability, and maintainability. It facilitates development and broadens access to IMS transactions and data by utilizing open integration technologies. Users can experience the performance advantages of the IMS Transaction Manager while benefiting from competitive pricing. Additionally, organizations can take advantage of a high-speed, highly available IMS data server that offers an appealing pricing model. To further optimize the performance and administration of IMS systems, various database and transaction management tools are available. These enhancements not only boost analyst productivity but also elevate the performance of IMS applications, enhance resource utilization, and ensure system reliability. An integrated solution is also provided for the concurrent backup and recovery of multiple data sets and Fast Path areas, ensuring data integrity and availability. Ultimately, these features position IMS as a powerful tool for managing data and transactions effectively.

Objectivity/DB (or Object Database Management System) is a distributed, highly scalable, high-performance, and highly scalable Object Database (ODBMS). It excels at complex data handling, including many types of connections between objects as well as many variants. Objectivity/DB can also be used as a graph database that is highly scalable and high-performance. Its DO query language allows for standard data retrieval queries and high-performance path-based navigational inquiries. Objectivity/DB is a distributed data base that presents a single logical view of its managed data. Data can be hosted on one machine or distributed over up to 65,000 machines. Machines can be connected to one another. Objectivity/DB can be used on 32- or 64-bit processors that run Windows, Linux, and Mac OS X. APIs are C++, C# Java, Python, and Java. All platforms and languages are interoperable. A C++ program on Linux can store objects and a Java program on Mac OS X can read them.

Xata integrates the features of a relational database, analytics engine, and free-text search engine into one cohesive platform. Its user-friendly, spreadsheet-like interface, paired with a robust data API, offers granular security, seamless zero-downtime migrations, subscription options, ACID compliance, and built-in caching. If you can deploy your application without server concerns, why should database services be any different? The straightforward global RESTful API facilitates data insertion, querying, aggregation, and search, making it an ideal partner for Serverless and No-Code/Low-Code development environments. Xata empowers users to gradually construct their database schema while incorporating sample data, all through an intuitive interface reminiscent of a spreadsheet. New tables, columns, and data can be easily added, alongside the ability to create queries and views. This iterative approach not only offers flexibility during development but also ensures that as the application scales, the enforced schema maintains data integrity and security. With Xata, developers can focus on building their applications without the complexity of traditional database management.

Execute structural transformations and carry out database reorganizations in a manner that does not disrupt user productivity or the availability of applications. In today's global marketplace, information technology systems are under constant demand, as it is always peak business hours somewhere on the planet. Thanks to the Internet and e-commerce, individuals can purchase products and services at any time of the day or night. Traditional methods of database reorganization often result in international corporations with users spread across different locations having to lock out some of their users. This locking out leads to prolonged data retrieval processes, which consume significant CPU resources, I/O, and time, ultimately impacting both financial resources and user efficiency. Consequently, businesses may face a decline in customer retention and revenue. To mitigate these expenses, it is essential to reorganize data efficiently. Bradmark's DBControl offers a solution by enabling the reorganization of database tables and their associated objects while transactions remain active, ensuring seamless operations. This approach allows businesses to maintain productivity and enhance overall system performance.

The BASIS Database Management System (DBMS) offers developers both relational access and high-speed navigational access to their data. With its robust and powerful features, the BASIS DBMS allows for a versatile integration of advanced SQL statements and relational data access techniques alongside the efficiency and control of navigational functions like direct table and index access, as well as direct movement between tables. Furthermore, the BASIS SQL engine empowers developers to run queries and other SQL commands from various third-party applications. This combination of data access methods enables seamless retrieval of results, whether from an SQL query or directly from a table accessed on the server through the optimized BASIS ISAM database engine. Consequently, users benefit from a streamlined interface that merges SQL command support with direct-result-set navigation, creating a cohesive and integrated solution for data management. This sophisticated approach ensures that developers can work efficiently, leveraging the strengths of both relational and navigational access.

Percona XtraDB Cluster is an open-source, high availability, MySQL clustering solution. It helps enterprises reduce unexpected downtime and data losses, lower costs, and improve performance and scalability in their database environments. PXC supports critical business applications in the most demanding public and private cloud environments. Percona XtraDB Cluster, (PXC), preserves, secures and protects data as well as revenue streams, by providing the highest availability for business-critical applications. PXC can help you reduce costs, eliminate license fees, and meet budget constraints. Our integrated tools allow you to optimize, maintain, monitor, and monitor your cluster. This allows you to get the most from your MySQL environment.

You can create flat or relational databases with unlimited fields, tables, and rows. A custom report builder is included. Create custom reports by connecting to compatible ODBC databases. You can create your own databases. Here are some highlights: Filter tables instantly - Ultra simple graphical-user-interface - One-click table and data form creation - You can open up to 5 databases simultaneously Export your data to comma-separated files - Create custom reports to all your databases - A complete helpfile for creating database reports - You can print tables and queries directly from your data grid - Supports any SQL standard your ODBC compatible databases require For best performance and user experience, please install and run this database app with full administrator rights. Requirements: . 1024x768 Display Size . Windows 98 / XP / Windows 8 / Windows 10 - 32bit or 64bit No Java or DotNet are required. Green Energy Software. One step at a time, saving the planet

InterSystems Cache®, a high-performance database, powers transaction processing applications all over the globe. It's used for everything, from mapping a million stars in the Milky Way to processing a trillion equity trades per day to managing smart energy grids. InterSystems has developed Cache, a multi-model (object-relational, key-value), DBMS and application server. InterSystems Cache offers multiple APIs that allow you to work with the same data simultaneously: key/value, relational/object, document, multidimensional, object, object, and object. Data can be managed using SQL, Java, node.js.NET, C++ and Python. Cache also offers an application server that hosts web apps (CSP, REST, SOAP and other types TCP access for Cache data).

Toad Software, offered by Quest, is a comprehensive toolset designed for database management that caters to the needs of database developers, administrators, and data analysts alike, facilitating the management of both relational and non-relational databases through SQL. By adopting a proactive stance on database management, organizations can redirect their teams toward more strategic projects and advance their business in an era increasingly defined by data. Toad's solutions are crafted to enhance the return on investment in data technology, enabling data professionals to automate tasks, mitigate risks, and significantly reduce project delivery times—often by nearly 50%. Additionally, it helps lower the overall ownership costs associated with new applications by alleviating the consequences of inefficient coding on productivity, ongoing development cycles, performance, and system availability. With millions of users relying on Toad for their most vital systems and data environments, the opportunity to achieve a competitive advantage is within reach. Embrace smarter work practices and rise to meet the challenges presented by modern database environments, ensuring your organization stays ahead of the curve.

SingleStore, previously known as MemSQL, is a highly scalable and distributed SQL database that can operate in any environment. It is designed to provide exceptional performance for both transactional and analytical tasks while utilizing well-known relational models. This database supports continuous data ingestion, enabling operational analytics critical for frontline business activities. With the capacity to handle millions of events each second, SingleStore ensures ACID transactions and allows for the simultaneous analysis of vast amounts of data across various formats, including relational SQL, JSON, geospatial, and full-text search. It excels in data ingestion performance at scale and incorporates built-in batch loading alongside real-time data pipelines. Leveraging ANSI SQL, SingleStore offers rapid query responses for both current and historical data, facilitating ad hoc analysis through business intelligence tools. Additionally, it empowers users to execute machine learning algorithms for immediate scoring and conduct geoanalytic queries in real-time, thereby enhancing decision-making processes. Furthermore, its versatility makes it a strong choice for organizations looking to derive insights from diverse data types efficiently.

Oracle SQL Developer is a versatile, free development environment designed to streamline the processes of developing and managing Oracle Database, whether in traditional settings or on the Cloud. It provides comprehensive support for the complete lifecycle of PL/SQL application development, includes a worksheet for executing queries and scripts, and features a DBA console for efficient database management. Additionally, it offers a reporting interface, an extensive data modeling solution, and a platform for migrating third-party databases to Oracle. You can execute SQL commands and scripts, manage user accounts, create and modify database objects, import data into new or existing tables, troubleshoot performance issues, visualize your database schemas, and much more. It encapsulates the capabilities of a robust desktop tool within your web browser. Furthermore, with Oracle REST Data Services, users can also access their on-premises database instances seamlessly, and the platform facilitates the migration from Oracle On-Premises to Oracle Cloud effortlessly, allowing for easy interaction and management of database content. This tool enhances productivity by making database management and development accessible at any time, from virtually anywhere.

HeatWave is a powerful, highly parallel in-memory query accelerator designed for Oracle MySQL Database Service, significantly boosting MySQL performance for both analytics and mixed workloads. It outperforms Amazon Redshift by a factor of 6.5 at just half the cost, surpasses Snowflake by 7 times while costing one-fifth as much, and is 1400 times quicker than Amazon Aurora at half the expense. This service uniquely facilitates the execution of OLTP and OLAP tasks directly within the MySQL database, thereby eliminating the challenges and costs associated with transferring and integrating data with an external analytics platform. The innovative MySQL Autopilot leverages cutting-edge machine-learning methods to streamline HeatWave’s functionality, enhancing usability, performance, and scalability even further. Additionally, HeatWave is specifically optimized for use within Oracle Cloud Infrastructure (OCI), ensuring seamless integration and efficiency. As a result, users can enjoy a comprehensive solution that meets diverse analytical needs without the usual complexities.

Oracle TimesTen In-Memory Database (TimesTen) enhances real-time application performance by rethinking the runtime data storage approach, resulting in reduced response times and increased throughput. By utilizing in-memory data management and refining data structures alongside access algorithms, TimesTen maximizes the efficiency of database operations, leading to significant improvements in both responsiveness and transaction throughput. The launch of TimesTen Scaleout introduces a shared-nothing architecture that builds on the existing in-memory capabilities, enabling seamless scaling across numerous hosts, accommodating vast data volumes of hundreds of terabytes, and processing hundreds of millions of transactions per second, all without requiring manual sharding or workload distribution. This innovative approach not only streamlines performance but also simplifies the overall database management experience for users.

Create and deploy distributed, database-driven enterprise applications that achieve optimal levels of availability, scalability, and performance, all while being entirely cloud native. Whether your enterprise is just embarking on its cloud native journey or is actively implementing a multi-cloud strategy, OneDB provides the necessary flexibility, reliability, and user-friendliness to fulfill your application's requirements. The process of extracting valuable insights and actionable intelligence from data is significantly simplified through fully automated database management. This automation allows for a substantial decrease in the necessity for advanced technical skills when launching innovative ideas, enabling you to maintain a competitive edge. Ideal for application development, OneDB supports a wide range of interfaces and APIs, as well as extensive programming languages, ensuring developers have all the tools they need at their disposal. Furthermore, HCL delivers the most adaptable cloud native database available in today's market, making it a top choice for enterprises seeking robust solutions. With OneDB, organizations can effectively streamline their development processes while enjoying the benefits of a highly responsive and efficient database environment.

Inmagic DB/TextWorks is an innovative software solution that merges a database management system with robust search functionalities, allowing non-technical personnel to efficiently organize and disseminate information within an organization. This software is a unique blend of database and text retrieval capabilities, enabling users to create “textbases” that handle various forms of information such as bibliographic records, documents, images, and multimedia. Designed to operate on Windows operating systems, DB/TextWorks is versatile enough to function on individual computers or within a networked setup. Additionally, the textbases created with DB/TextWorks can be made accessible online through the DB/Text WebPublisher PRO feature. The user-friendly interface of DB/TextWorks eliminates the need for programming skills, making it a practical choice for organizations aiming to enhance knowledge sharing. This powerful combination not only streamlines information management but also fosters collaboration among team members. As a result, organizations can leverage this system to improve their overall operational efficiency.

Inery is a layer-1 blockchain that aims to revolutionize decentralized database management, ultimately fostering a new approach to data interaction. By effectively creating connectivity between various systems, applications, and other layer-1 networks, it sets the stage for the web3 ecosystem. The Inery data management system, known as IneryDB, combines the benefits of blockchain technology with the features of distributed database management. Operating on a decentralized framework, IneryDB is designed to handle high transaction volumes, deliver low latency, and perform complex query searches while allowing users to maintain control over their data assets. This innovative platform empowers developers and businesses to safely store, access, manage, and distribute data in a decentralized manner across multiple sectors. Inery's blockchain not only enhances data sharing capabilities with increased efficiency and security but also provides the essential infrastructure for deploying decentralized applications, ensuring seamless cross-chain interactions. Through these advancements, Inery paves the way for a more interconnected and decentralized digital landscape.

Amazon SimpleDB serves as a highly reliable NoSQL data repository that alleviates the burdens associated with database management. Developers can effortlessly store and retrieve data items through web service requests, while Amazon SimpleDB takes care of all necessary backend processes. Unlike traditional relational databases, it offers enhanced flexibility and high availability with minimal administrative efforts. The service automatically generates and oversees multiple geographically dispersed copies of your data, ensuring both high availability and durability. Users only pay for the resources they utilize in data storage and request handling. You have the freedom to modify your data model dynamically, with automatic indexing handled for you. By using Amazon SimpleDB, developers can concentrate on building their applications without the need to manage infrastructure, ensure high availability, or deal with software upkeep, schema and index management, or performance optimization. Ultimately, this allows for a more streamlined and efficient development process, making it an ideal choice for modern application needs.

HeidiSQL is a free program that aims to make it easy to use. "Heidi" allows you to view and edit data and structures on computers that run one of the following database systems: MariaDB, MySQL or Microsoft SQL. Ansgar invented HeidiSQL in 2002. It is one of the most popular tools for MariaDB or MySQL. OpenSource, free for everyone Multiple servers can be connected in one window. MariaDB, MySQL and MS SQL are supported. You can connect to servers via commandline. You can connect via SSH tunnel or SSL settings. Edit tables, views, stored procedures, triggers, and scheduled events. You can create beautiful SQL-exports and then compress them or copy them to the clipboard. Export directly from one server/database to another server/database. You can manage user privileges, import text-files, and export table rows in CSV, HTML HTML, XML, SQL, LaTeX Wiki Markup, and PHP Array. A grid allows you to browse and edit table-data.

Sadas Engine is the fastest columnar database management system in cloud and on-premise. Sadas Engine is the solution that you are looking for. * Store * Manage * Analyze It takes a lot of data to find the right solution. * BI * DWH * Data Analytics The fastest columnar Database Management System can turn data into information. It is 100 times faster than transactional DBMSs, and can perform searches on large amounts of data for a period that lasts longer than 10 years.

Develop high-speed, data-centric applications that can dynamically adapt to performance needs regardless of scale. Leverage the distinctive technology of Apache Geode, which integrates sophisticated methods for data replication, partitioning, and distributed processing. With a database-like consistency model, Apache Geode guarantees dependable transaction handling and employs a shared-nothing architecture that supports remarkably low latency, even under high concurrency. The platform allows for seamless data partitioning (sharding) and replication across nodes, enabling performance to grow in accordance with demand. Reliability is bolstered by maintaining redundant in-memory copies along with disk-based persistence. Additionally, it features rapid write-ahead logging (WAL) persistence, optimized for quick parallel recovery of individual nodes or the entire cluster, ensuring robust performance even during failures. This combination of features not only enhances efficiency but also significantly improves overall system resilience.

Experience the lightning-fast NoSQL database tailored for mobile and IoT applications, complete with built-in data synchronization. ObjectBox boasts a performance that is ten times superior to its competitors, significantly enhancing response times and facilitating real-time functionality. Our benchmarks speak for themselves, supporting a comprehensive range of systems from sensors to servers. Compatibility extends across various platforms, including Linux, Windows, macOS/iOS, Android, and Raspbian, whether you choose embedded solutions or containerized setups. Enjoy seamless data synchronization with ObjectBox's ready-to-use features, ensuring that your data is accessible precisely when and where it’s needed, allowing you to launch your application more swiftly. Develop applications that operate both online and offline, providing a reliable experience without the dependency on a continuous internet connection, creating an “always-on” atmosphere for users. Save valuable time and development resources by expediting your time-to-market, reducing both development costs and lifecycle expenses, while allowing developers to focus on high-value tasks, as ObjectBox mitigates potential risks. Moreover, ObjectBox can decrease cloud expenses by up to 60% by storing data locally at the edge and efficiently synchronizing only the necessary information. This approach not only optimizes performance but also enhances data management and accessibility across your applications.

Firebird is a relational database that incorporates numerous features compliant with ANSI SQL standards and is compatible with Linux, Windows, and multiple Unix systems. It boasts remarkable concurrency, impressive performance, and robust support for stored procedures and triggers, making it a popular choice for various applications. Since its inception in 1981, Firebird has been utilized in production environments under different names. The Firebird Project operates independently, consisting of C and C++ developers, technical advisors, and supporters who contribute to the ongoing development of this multi-platform relational database management system, which is based on the source code released by Inprise Corp (now Borland Software Corp) on July 25, 2000. Moreover, the Firebird Project provides a wealth of documentation for users, developers, and administrators, ranging from beginner Quick Start guides to in-depth expert articles that explore numerous aspects of the Firebird system. This extensive resource ensures that anyone working with Firebird can find the information they need to optimize their experience.

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.

VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.

SQL Server Data Tools (SSDT) revolutionizes the way database development is approached by offering a comprehensive, declarative framework that integrates seamlessly into Visual Studio throughout every stage of the process. With SSDT's Transact-SQL design features, you can efficiently create, troubleshoot, manage, and enhance databases. You have the flexibility to operate within a database project or directly interact with a database instance, whether it is hosted on-premises or in the cloud. Familiar Visual Studio features facilitate database development, including code navigation, IntelliSense, language support akin to that in C# and Visual Basic, targeted validation, debugging tools, and declarative editing capabilities in the Transact-SQL environment. Additionally, SSDT includes a visual Table Designer, which simplifies the creation and modification of tables in both database projects and connected instances. In collaborative settings, you can also leverage version control to manage all project files effectively, ensuring that team contributions are streamlined and organized. This integration not only enhances productivity but also fosters collaboration among developers working on complex database solutions.

The Empress Embedded Database engine serves as the vital component of the EMPRESS RDBMS, which is a relational database management system that excels in embedded database technology, powering everything from automotive navigation systems to essential military command and control operations, as well as Internet routers and sophisticated medical applications; EMpress consistently operates around the clock at the heart of embedded systems across various industries. One standout feature of Empress is its kernel level mr API, which offers users direct access to the libraries of the Embedded Database kernel, ensuring the quickest way to reach Empress databases. By utilizing MR Routines, developers gain unparalleled control over time and space when creating real-time embedded database applications. Furthermore, the Empress ODBC and JDBC APIs allow applications to interact with Empress databases in both standalone and client/server environments, enabling a variety of third-party software packages that support ODBC and JDBC to easily connect to a local Empress database or through the Empress Connectivity Server. This versatility makes Empress a preferred choice for developers seeking robust and efficient database solutions in embedded systems.

Caspio is the leading no-code platform for creating online database applications without coding. Everything you need for digitally transforming business operations and workflows is provided in Caspio's all-in-one platform. It features an integrated cloud database, a visual app builder, enterprise-grade security and regulatory compliance, as well as scalable global infrastructure. Caspio is trusted worldwide by more than 15,000 companies. Get it free. Caspio, a pioneer in cloud computing, has been developing its database platform since 2000. It is capable of supporting HIPAA and all Caspio plans offer unlimited users and are competitively priced.

One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.

Prioritize application innovation rather than database oversight by utilizing the fully managed and intelligent Azure Database for PostgreSQL service. Effortlessly scale your workloads while maintaining confidence in performance. Benefit from remarkable high availability, guaranteed by a service-level agreement (SLA) that promises up to 99.99 percent uptime, and select between same-zone or zone-redundant high availability options, coupled with AI-driven performance insights and robust enterprise security features. Concentrate on application development with a PostgreSQL database offered as a managed service. The zone-redundant high availability feature streamlines maintenance, patching, and updates for your convenience. Set up your database in mere minutes and adjust compute or storage resources independently as needed. Reduce expenses with extensive database monitoring and optimization resources that ensure efficiency. Leverage intelligent performance recommendations to maintain optimal application functionality. Seamlessly migrate your data using a fully managed PostgreSQL database that supports the latest versions and technologies. Moreover, enhance your projects with popular PostgreSQL extensions, including Cron, PostGIS, PLV8, and more, to unlock a wider range of functionalities.

Webair offers a comprehensive Database-as-a-Service (DBaaS) solution, ensuring that your business has reliable and secure access to its essential data at all times. Our experienced team excels in overseeing the implementation, configuration, administration, and optimization of various database clusters, such as business-critical, load-balanced, and replicated MySQL clusters, which include options like MariaDB, Galera, and NoSQL. With a focus on creating a high-performance database environment, our Database Administrators collaborate with you to tailor the ideal solution, aligning top-tier infrastructure with the appropriate database configuration to suit your specific needs. By entrusting us with routine database responsibilities—such as performance monitoring, configuration management, memory allocation, storage oversight, log file handling, sizing, and applying service updates—you can redirect your attention to more pressing business matters, particularly the management of vital data within your database. This partnership enables your organization to thrive without the burden of database maintenance tasks, allowing for greater efficiency and productivity.

A Post-Relational Database, such as Matisse, seamlessly combines the best features of both object-oriented programming and traditional relational databases, allowing for direct mapping of .NET objects into the database while also utilizing a standard query language (SQL) alongside robust enterprise scalability typically associated with relational systems. Matisse Software has innovated the SQL Standard, which had been limited for three decades to simply querying and managing relational tables, transforming it into a dynamic language capable of interacting with a hierarchy of classes. The rise of object-oriented development has underscored the necessity for a Database Management System (DBMS) that not only supports native object and XML formats but also retains the advantages provided by relational databases, including SQL compatibility, scalability, and adherence to standards. According to the Hurwitz Group, Matisse is poised to deliver significant advantages for various organizations, as it can lead to quicker time-to-market through expedited database design processes and reduced total cost of ownership (TCO) in the long run due to decreased expenses associated with database maintenance and performance optimization. In essence, Matisse represents a forward-thinking solution tailored to meet the evolving demands of modern software development.