Alternatives to SQL Server

Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes. Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.

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.

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.

It is a highly scalable, embedded SQL database that can be accessed from anywhere. It also includes commercial-grade data security, disaster recovery, change synchronization, and data security.

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.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

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.

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.

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

Amazon ElastiCache enables users to effortlessly establish, operate, and expand widely-used open-source compatible in-memory data stores in the cloud environment. It empowers the development of data-driven applications or enhances the efficiency of existing databases by allowing quick access to data through high throughput and minimal latency in-memory stores. This service is particularly favored for various real-time applications such as caching, session management, gaming, geospatial services, real-time analytics, and queuing. With fully managed options for Redis and Memcached, Amazon ElastiCache caters to demanding applications that necessitate response times in the sub-millisecond range. Functioning as both an in-memory data store and a cache, it is designed to meet the needs of applications that require rapid data retrieval. Furthermore, by utilizing a fully optimized architecture that operates on dedicated nodes for each customer, Amazon ElastiCache guarantees incredibly fast and secure performance for its users' critical workloads. This makes it an essential tool for businesses looking to enhance their application's responsiveness and scalability.

FastReport Mono is compatible with Windows, Linux and macOS. With FastReport Mono, you can create application-independent .NET and Mono reports. FastReport Mono can also be used as a standalone reporting tool. - You can connect any database, use any table or create your own queries using SQL. - To request parameters before running the report, you can add one or more dialog form to the report. - You can use the built-in script to control the interaction between dialog form controls and perform complex data processing. - You can view the result in the preview window. You can also print the report or save it to one of many popular formats. FastReport Mono is written entirely in C#. It contains no managed code. It is compatible with Mono Framework 4.0 or higher. Full source code is available. FastReport Mono can be customized to meet your needs. License policy and price are reasonable.

RazorSQL serves as a versatile SQL query tool, database browser, SQL editor, and administration suite compatible with Windows, macOS, Mac OS X, Linux, and Solaris operating systems. It has been evaluated across more than 40 different databases and supports connections through either JDBC or ODBC protocols. Users can effortlessly navigate through database elements, including schemas, tables, columns, primary and foreign keys, views, indexes, procedures, and functions. The software features visual tools that facilitate the creation, alteration, description, execution, and removal of various database objects like tables, views, indexes, stored procedures, functions, and triggers. Additionally, it boasts a multi-tabbed query display that offers functionality for filtering, sorting, and searching, among other capabilities. Data can be imported from multiple formats, including delimited files, Excel spreadsheets, and fixed-width files, providing users with flexibility in handling data. Furthermore, RazorSQL incorporates a fully functional relational database (HSQLDB) that operates immediately upon installation without the need for manual setup. This makes it an excellent choice for both novice and experienced database administrators.

VCL-component set to generate reports and documents. It includes a visual template designer, access the most popular datasources, a preview, export filters to 30+formats, and deployment to cloud, web, e mail, and print. FastReport VCL - reporting and documents creation library for Delphi 7-XE8, C++Builder 2005-XE8, Embarcadero RAD Studio 10 Seattle, Embarcadero RAD Studio 10.1 Berlin, Embarcadero RAD Studio 10.2 Tokyo, Embarcadero RAD Studio 10.3 Rio, Embarcadero RAD Studio 10.4 Sydney, Embarcadero Rad Studio 11 Alexandria, and Lazarus FastReport VCL, a report generator, is a modern solution to integrate Business Intelligence into your software. It is designed for developers who wish to use pre-made components for reporting. FastReport VCL's simplicity, convenience, and small distribution can provide high functionality on any modern PC.

FastReport Online Designer lets you create, edit, and view reports from Android or iOS devices. The designer can run on any device that has a modern browser, such as a tablet, computer, communicator, TV, or game console. FastReport Online Designer's report designer has an adaptive interface. This is because the user's interaction will be tailored to the platform's capabilities. The designer's touch-orientation makes it possible to do full-fledged work in a browser. The familiar business user interface for an office application with full hotkey support. The style of the report designer is fully compatible with the style of your web app: minimalistic to classic office. FastReport Online Designer can be configured as you like. This makes it easier and faster to design. There is nothing unnecessary. Do not overfill the interface with unnecessary details. Only add what your user requires.

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.

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.

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.

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.

Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.

Azure Data Explorer is an efficient and fully managed analytics service designed for swift analysis of vast amounts of data that originate from various sources such as applications, websites, and IoT devices. Users can pose questions and delve into their data in real-time, allowing for enhancements in product development, customer satisfaction, device monitoring, and overall operational efficiency. This service enables quick detection of patterns, anomalies, and emerging trends within the data landscape. Users can formulate and receive answers to new inquiries within minutes, and the framework allows for unlimited queries thanks to its cost-effective structure. With Azure Data Explorer, organizations can discover innovative ways to utilize their data without overspending. By prioritizing insights over infrastructure, users benefit from a straightforward, fully managed analytics platform. This service is adept at addressing the challenges posed by fast-moving and constantly evolving data streams, making analytics more accessible and efficient for all types of streaming information. Ultimately, Azure Data Explorer empowers businesses to leverage their data in transformative ways.

Utilize Azure Table storage to manage petabytes of semi-structured data efficiently while keeping expenses low. In contrast to various data storage solutions, whether local or cloud-based, Table storage enables seamless scaling without the need for manual sharding of your dataset. Additionally, concerns about data availability are mitigated through the use of geo-redundant storage, which ensures that data is replicated three times within a single region and an extra three times in a distant region, enhancing data resilience. This storage option is particularly advantageous for accommodating flexible datasets—such as user data from web applications, address books, device details, and various other types of metadata—allowing you to develop cloud applications without restricting the data model to specific schemas. Each row in a single table can possess a unique structure, for instance, featuring order details in one entry and customer data in another, which grants you the flexibility to adapt your application and modify the table schema without requiring downtime. Furthermore, Table storage is designed with a robust consistency model to ensure reliable data access. Overall, it provides an adaptable and scalable solution for modern data management needs.

Azure SQL Database, a member of the Azure SQL suite, is a sophisticated and adaptable relational database service designed specifically for cloud environments. It is continuously updated, ensuring you benefit from the latest advancements, including AI-driven features that enhance both performance and reliability. With serverless computing and Hyperscale storage options, resources can effortlessly adjust according to your needs, allowing you to concentrate on creating innovative applications without the stress of managing storage or resources. This fully managed SQL database simplifies the challenges of ensuring high availability, performing tuning, handling backups, and executing other essential database management tasks. You can expedite your application development on the unique cloud platform that offers evergreen SQL, utilizing up-to-date SQL Server features while remaining free from concerns about updates, upgrades, or the end of support. Customize your modern app development experience with both provisioned and serverless compute choices, ensuring flexibility and efficiency tailored to your specific needs. This way, you can unleash your creativity while relying on a robust foundation.

Microsoft has invested significant effort in creating a robust synergy between .NET and SQL Server, and VistaDB encapsulates this strength in a compact and easy-to-deploy format. The VistaDB engine consists of a singular, lightweight managed assembly that can be integrated with your application, with each database represented as a standalone file. By leveraging Xamarin, it is possible to have a complete relational database management system (RDBMS) right on your mobile device. VistaDB serves as a fully compliant ADO.NET data provider, offering support for Entity Framework, ADO.NET, and Typed Datasets, alongside its own direct access API tailored for efficient cursor operations. Thanks to ADO.NET, VistaDB seamlessly integrates with a broad spectrum of third-party object-relational mappers (ORMs), reporting tools, and additional resources. It also fully embraces the ADO.NET provider factory model, enabling developers to create a unified codebase that can adapt to either VistaDB or SQL Server during runtime. This versatility extends to a multitude of applications built on ADO.NET, encompassing not just your own software but also various reporting systems, ORMs, and other data-centric libraries within the .NET ecosystem. With VistaDB’s capabilities, developers can harness the power of a full-fledged database system while enjoying the simplicity of deployment and use.

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).

SQL Workbench/J is a versatile and free SQL query tool that operates independently of any specific database management system and is compatible with various operating systems due to its Java foundation. It is designed to execute SQL scripts, whether interactively or in batch mode, while also offering robust import and export functionalities. Although it does not prioritize graphical query building or complex database administration tasks, it includes a powerful export command that allows users to generate text files, XML, HTML, or SQL formats, including support for BLOB data. Users can easily export all tables from a database to a designated directory using a single command, and the export files can be compressed during the process. The tool also supports efficient import of text, XML, and spreadsheet files, enabling users to bring in sets of files, including compressed versions, from a directory with one command. Additionally, it intelligently detects foreign key constraints to ensure proper data insertion order. Users can also compare two database schemas to identify differences, and the tool provides the capability to convert XML output into the appropriate SQL ALTER statements using XSLT, enhancing its functionality even further. Overall, SQL Workbench/J serves as a comprehensive solution for users seeking a straightforward approach to managing SQL queries across various platforms.

SQL Server Management Studio (SSMS) serves as a comprehensive platform for overseeing a range of SQL infrastructures, including both SQL Server and Azure SQL Database. It offers a variety of tools aimed at configuring, monitoring, and administrating SQL Server instances along with their associated databases. With SSMS, users can deploy, oversee, and enhance the data-tier components integral to their applications, as well as create queries and scripts. Additionally, SSMS facilitates the querying, designing, and management of databases and data warehouses, whether they reside on local machines or in the cloud. This makes SSMS an essential tool for database administrators and developers alike, ensuring efficient handling of data management tasks.

Semarchy's flexible, unified data platform will help you make better business decisions across your organization. xDI is the high-performance, flexible, extensible data integration that integrates all your data for all types and uses. Its single technology can federate all forms of data integration and maps business rules into executable code. xDI supports multi-cloud environments, on-premise, hybrid, and cloud environments.

SQLite is a C-language library that offers a compact, efficient, and reliable SQL database engine that is fully featured. Recognized as the most popular database engine globally, SQLite is embedded in every mobile device and the majority of computers, while also being included in a myriad of applications that are used daily by individuals. Operating as an in-process library, SQLite provides a self-sufficient, serverless, and zero-configuration transactional SQL database engine. The source code of SQLite resides in the public domain, making it available for anyone to use freely, whether for commercial or personal purposes. With its extensive deployment and integration into numerous applications, SQLite stands out as an invaluable tool for developers in various high-profile projects. Its versatility and ease of use contribute to its unmatched popularity in the database landscape.

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.

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.

IBM Informix® is a highly adaptable and efficient database that can effortlessly combine SQL, NoSQL/JSON, as well as time series and spatial data. Its flexibility and user-friendly design position Informix as a top choice for diverse settings, ranging from large-scale enterprise data warehouses to smaller individual application development projects. Moreover, due to its compact footprint and self-managing features, Informix is particularly advantageous for embedded data management applications. The rising demand for IoT data processing necessitates strong integration and processing capabilities, which Informix fulfills with its hybrid database architecture that requires minimal administrative effort and has a small memory footprint while delivering robust functionality. Notably, Informix is well-equipped for multi-tiered architectures that necessitate processing at various levels, including devices, gateway layers, and cloud environments. Furthermore, it incorporates native encryption to safeguard data both at rest and in transit. Additionally, Informix supports a flexible schema alongside multiple APIs and configurations, making it a versatile choice for modern data management challenges.

IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.

InterSystems IRIS, a cloud-first data platform, is a multi-model transactional database management engine, application development platform, interoperability engine and open analytics platform. InterSystems IRIS offers a variety of APIs that allow you to work with transactional persistent data simultaneously. These include key-value, relational and object, document, and multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS features an Interoperability engine as well as modules for building AI solutions. InterSystems IRIS features horizontal scalability (sharding and ECP), and High Availability features such as Business intelligence, transaction support and backup.

Fujitsu Enterprise Postgres stands out as a highly dependable and powerful relational database tailored for businesses that demand exceptional query performance and consistent availability. Built on the acclaimed open-source platform PostgreSQL, it incorporates additional enterprise-level features that enhance both security and efficiency. The installation and management of Fujitsu Enterprise Postgres are handled by skilled database professionals from Fujitsu, who are also available to support the transition of data from your current database systems. Given its foundation in PostgreSQL, FEP offers remarkable compatibility with various systems and applications. Furthermore, the user-friendly, streamlined graphical interface significantly enhances the experience for database administrators carrying out essential functions like executing queries, conducting scans, and performing backups, ultimately making data management and reporting more user-friendly and effective. This comprehensive approach ensures that organizations can leverage their data to its fullest potential.

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

The dBASE®, 2019 product has been OPTIMIZED in order to make development simpler, faster, and more fun. Creature Feature is a new capability that will make your job easier. dBASE®, 2019 release is focused on OPTIMIZATION, but it also includes many great features for IDE. Compiler functionality has been enhanced. The Editor has been improved to allow you to develop more efficiently. We also implemented the #1 requested component, and we conclude with a complete overhaul of ADO. The IDE is where magic happens. Why not let users have a say in how it operates? The editor accounts for 80% of time, and the graphical designers account for 20%. The IDE has been updated with new and improved features.

Windows Server 2022 brings forth enhanced multi-layered security features, hybrid functionalities with Azure, and a versatile application platform. Begin by fortifying your organization's security framework right from the operating system. Expand your data center capabilities to Azure to achieve improved IT efficiency. Equip developers and IT professionals with a robust application platform designed for building and deploying a range of applications. Discover how using Azure can lead to significant cost reductions through programs like the Azure hybrid benefit and extended security updates. Transform your workloads using Azure, recognized as the reliable cloud solution for Windows Server. Seamlessly connect your on-premises Windows Servers to Azure via Azure Arc. Upgrade to the latest operating system to enjoy superior security, enhanced performance, and increased value. By leveraging Azure, you can now fully tap into the myriad advantages of cloud computing. Starting is free, enabling you to manage servers, clusters, hyper-converged infrastructure, and Windows 10 PCs effectively with Windows Server, making your transition to cloud services smoother and more efficient than ever before.

Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.

Transform and enhance your transaction-driven applications both on-premise and in the cloud by using SAP Adaptive Server Enterprise (SAP ASE). This cutting-edge SQL database server utilizes a relational management framework designed to satisfy the increasing needs for performance, reliability, and efficiency across various sectors. Streamline your operations and cut costs with features like workload analyzer and workload profiler that ensure built-in high availability, effective disaster recovery, and optimal resource management. Expand your capacity for transactions, data, and users while boosting performance with advanced technology solutions, including MemScale and XOLTP. By minimizing overhead on production databases, Q-Free employees can concentrate more on driving innovation and delivering value. You can deploy SAP ASE either on-premise or through infrastructure as a service (IaaS), ensuring high performance and availability essential for executing mission-critical transactions. Additionally, this versatility allows businesses to adapt to evolving market demands swiftly.

Volt Active Data is a sophisticated data platform designed to streamline your entire technology stack, enhancing speed and cost-effectiveness, enabling applications and businesses to effortlessly scale in alignment with the extremely low latency service level agreements (SLAs) demanded by 5G, IoT, edge computing, and future innovations. It is tailored to complement your current big data assets, including NoSQL, Hadoop, Kubernetes, Kafka, and conventional databases or data warehouses, as it replaces the multiple layers usually necessary for making contextual decisions on streaming data with a singular, cohesive layer that facilitates ingestion to action in under 10 milliseconds. The digital landscape is inundated with data that is generated, stored, often overlooked, and ultimately discarded. "Active Data" refers to the information that requires immediate action for businesses to derive value from it. Numerous traditional and NoSQL data storage solutions are available for managing such data; however, there exists also a category of data that can be monetized, provided that swift action is taken to 'influence the moment' before the opportunity slips away. By harnessing the capabilities of Volt Active Data, organizations can ensure they are not merely collecting data but effectively leveraging it for real-time decision-making and strategic advantage.

CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.