Alternatives to QuintaDB

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

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.

Ninox empowers you to store and organize complex data with ease and structure. Its highly customizable user interface lets you process, analyze, and evaluate data of any kind. Plus, with Ninox's API, you can seamlessly integrate services like Google for even greater flexibility. Accessible on all platforms, Ninox works effortlessly through native macOS, iOS, and Android apps or any web browser. Create custom apps tailored to your needs using built-in templates, drag-and-drop formulas, and scripting. The visual editor makes it simple to design triggers, fields, custom forms, and more. Ninox also ensures real-time syncing across devices, enabling smooth transitions and uninterrupted workflows.

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.

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.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

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.

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.

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.

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.

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

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

Manage your projects in a manner that suits you best using Airtable. This versatile collaboration tool merges the capabilities of a relational database with the straightforwardness of a spreadsheet, offering a seamless experience. It is compatible across various platforms and devices, ensuring that data is synchronized instantly. Users have the option to display their tasks through a variety of formats, such as grid, calendar, Kanban, gallery, or forms, making it easier to visualize their workflow. With its intuitive interface, Airtable enables teams to enhance productivity while maintaining organization.

HanDBase serves as a quick and efficient relational database manager tailored for mobile devices, providing functionalities such as data entry, searching, sorting, filtering, printing, and synchronization across various desktop computers, tablets, smartphones, and handheld devices. This tool enables users to manage and monitor virtually anything they find significant. By utilizing HanDBase, you can swiftly develop custom data-driven applications within minutes, allowing you to track essential information that enhances your productivity while on the move. Available for numerous devices and operating systems, HanDBase stands out with its cross-platform capabilities, which facilitate easy sharing of database files and records across different devices. For certain versions, the Forms Designer feature allows users to create entirely personalized interfaces for their records. Additionally, the Multi-user Syncing technology enables the integration of data from multiple users into a single cohesive database or table, maximizing collaborative efforts and efficiency. With its user-friendly features, HanDBase empowers individuals and teams to optimize their data management experience seamlessly.

CUBRID is a relational database management system (DBMS) specifically designed for online transaction processing (OLTP) that adheres to ANSI SQL standards, offering features such as MVCC support, high-availability capabilities, and user-friendly GUI tools for database management and migration. Additionally, it boasts compatibility with Oracle and MySQL, and supports a range of interfaces, including JDBC. Installation is straightforward, and it includes native GUI-based administration tools to streamline the development process. CUBRID's architecture is multi-threaded and multi-server, equipped with a native broker middleware, a cost-based optimizer, and advanced caching methods to enhance OLTP performance. It also incorporates highly reliable automatic failover technology via the CUBRID Heartbeat engine core, ensuring minimal downtime. With multi-volume support and automatic volume expansion, it can handle an extensive number of databases, tables, and indexes without size limitations. Furthermore, its robust features make it suitable for dynamic and scalable applications in various industries.

Effortlessly develop personalized database applications in formats that align perfectly with your business requirements, though compatibility is limited to PC users. Access simplifies the creation of business applications, whether you choose to start with templates or build from the ground up. With its user-friendly and visually appealing design tools, Access enables you to craft attractive and highly functional applications quickly. You can customize your applications to suit both your business goals and customer needs, with the flexibility to make adjustments as those needs evolve. By leveraging Visual Basic for Applications, you can automate various business processes, enhancing the functionality of forms and reports. The Access connector library allows for seamless integration of data between Access and other business applications, enabling you to produce comprehensive visuals and insights within the familiar Access environment. Additionally, you can store your data securely in SQL Server and Microsoft Azure SQL, ensuring that your applications are reliable, scalable, secure, and manageable over the long term, thus providing a robust solution for your database needs. This capability not only streamlines operations but also helps your business adapt to changing market dynamics.

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.

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.

Scale effortlessly and without constraints: This globally distributed database, compliant with ACID principles, automatically manages replicas, sharding, and transaction processing, allowing you to rapidly adapt to varying usage patterns and drive your product's success. Built on Google's robust and reliable infrastructure, Cloud Spanner has been proven through its extensive use by numerous Google services that cater to billions of users. It boasts an impressive availability rate of up to 99.999%, ensuring zero downtime during planned maintenance or schema updates. By simplifying tasks that often go unappreciated, Cloud Spanner provides a more straightforward experience for IT administrators and database administrators, who frequently find themselves overwhelmed with database management. Now, with just a few clicks, you can create or scale a globally replicated database, significantly lowering your database maintenance costs. As a result, teams can focus more on innovation rather than routine operational challenges.

Experience a fully managed and hosted PostgreSQL solution that delivers exceptional performance along with all the necessary extensions readily available. You can establish your fully managed PostgreSQL instance in under ten minutes, using our web console or through various programming methods such as API, CLI, Terraform provider, or Kubernetes operator. Our standby nodes automatically serve as read replicas, and you have the flexibility to generate additional read replicas across different public clouds and geographic regions, enabling the creation of multi-cloud architectures. With Point-In-Time Recovery, you can restore your data to any moment within your chosen retention timeframe. This fully managed SQL relational database is deployable in the cloud environment of your preference, offering a reputation for reliability, a comprehensive feature set, and outstanding performance. It is suitable for a wide range of applications, including location-based services, critical business solutions, or serving as a general transactional database to meet diverse needs. As a result, it serves as an excellent choice for organizations looking to enhance their data management capabilities effectively.

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.

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.

Worksheet Systems provides a low-code platform for data management that enables you to convert your data into a robust online database application. We aim to alleviate your challenges! Our skilled team of database professionals and software developers is prepared to create a tailored database application at no charge to you! Simply share your vision with us, and we will turn it into reality. We will assist you in outlining your database architecture, workflows, and any necessary logic. Utilize cutting-edge database and web technologies without needing to master JavaScript, CSS, or other programming languages. Deploy your database applications in the cloud for accessibility to both web and mobile users. In today's fast-paced business environment, maintaining continuous data flows is essential for effective information management. We believe that end-users possess a deep understanding of their operations and should have the autonomy to adapt business applications to their needs. Worksheet Systems streamlines the development and upkeep of applications, empowering you to concentrate on delivering your primary business objectives while enjoying a seamless experience.

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.

Ragic is a database design tool. It looks just like other spreadsheets, but it's much more powerful. Ragic allows you to create and customize your database without having to use any codes. This allows you to control how your data is processed, how your sheets look, the relationships between your data, and the access rights of each user.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

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.

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.

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.

A version of PostgreSQL enhanced with security, DBA, and Developer features as well as Oracle database compatibility. Kubernetes allows you to manage deployment, high availability, and automated failover. Postgres containers are lightweight and immutable, allowing you to deploy anywhere. Automate failover, switchovers, backups, recovery and rolling updates. You can move your images and operators to any cloud, so you don't have to be locked in. Our experts can help you overcome containerization and Kubernetes issues. Oracle compatibility allows you to leave your legacy database behind without having to start from scratch. Migrate client applications and databases faster with fewer problems. Tuning and boosting performance can improve the end-user's experience. Deployment on-premises or in the cloud is possible. In a world in which downtime can lead to revenue loss, High-Availability is essential for business continuity.

Xano offers a fully-managed, scaleable infrastructure that powers your backend. You can also quickly create the business logic that powers your backend with Xano without writing a single line or use one our pre-made templates to launch quickly and without compromising security or scale. You can quickly create custom API endpoints with just one line of code. Our out-of-the box CRUD operations, Marketplace extensions and templates will accelerate your time to market. Your API is "ready-to use" so you can connect to any frontend immediately and concentrate on your business logic. Swagger automatically documents everything so that you can connect to any frontend easily. Xano uses PostgreSQL, which offers the flexibility of a relational and the Big data needs that a NoSQL solution. You can add features to your backend with just a few clicks. Or, you can use pre-made templates and extensions to jumpstart the project.

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.

Zoho Creator is an all-in-one low-code application development software that is designed to help businesses digitize their operations without the hassle of traditional development. More than 13,000 businesses with an excess of 7 million users around the world trust us to be their technology partner and you can also start your custom application journey today.

Optimize your time and reduce expenses by simplifying data pipelines using hassle-free open source solutions. Covering everything from data ingestion to visualization, all components are seamlessly integrated, fully managed, and exceptionally reliable, ensuring your engineering team enjoys working with data. You can opt for any of DoubleCloud’s managed open source services or take advantage of the entire platform's capabilities, which include data storage, orchestration, ELT, and instantaneous visualization. We offer premier open source services such as ClickHouse, Kafka, and Airflow, deployable on platforms like Amazon Web Services or Google Cloud. Our no-code ELT tool enables real-time data synchronization between various systems, providing a fast, serverless solution that integrates effortlessly with your existing setup. With our managed open-source data visualization tools, you can easily create real-time visual representations of your data through interactive charts and dashboards. Ultimately, our platform is crafted to enhance the daily operations of engineers, making their tasks more efficient and enjoyable. This focus on convenience is what sets us apart in the industry.

Microsoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency.

Tibero has implemented a unique Tibero Thread Architecture to address the disadvantages of previous DBMSs. As a result, Tibero can make efficient use of system resources, such as CPU and memory, with fewer server processes. This ensures that Tibero offers high performance, reliability, and scalability, while facilitating efficient development and administration functions. Additionally, it provides users and developers with various standard development interfaces for easy integration with other DBMSs and 3rd party tools. In addition, Tibero adopts the block transfer technology to improve TAC, the shared database clustering which is similar to Oracle RAC. Through the enhanced function, Tibero supports performance optimization with self-tuning, reliable database monitoring, and performance management.

The Distributed Relational Database Service (DRDS) is an agile, adaptable, and reliable middleware solution crafted by Alibaba Cloud. Primarily aimed at enhancing standalone relational databases, DRDS has undergone rigorous testing in critical transactional scenarios on platforms like Tmall, particularly during high-traffic events such as the Singles’ Day Shopping Festival. With a decade of experience, DRDS has established itself as a dependable database service provider. It enables data read and write operations based on clustered configurations and offers efficient data storage solutions. Operating across multiple independent servers, DRDS ensures that user connection volumes do not hinder performance. Furthermore, it allows for seamless upgrades and downgrades of data configurations, coupled with the ability to visually manage the scaling up and down of data storage. The service enhances reading performance through read and write splitting, which effectively linearizes improvements. Additionally, it accommodates various data splitting techniques tailored to specific data types, including parallel data splitting. DRDS emphasizes the efficiency of primary shards and facilitates parallel query executions, thereby optimizing overall database performance and responsiveness. This makes it an ideal choice for enterprises seeking robust database solutions.

The Lumen Relational DB service accelerates software delivery by offering swift access to a robust, enterprise-grade relational database instance hosted on our advanced cloud infrastructure. With our database-as-a-service, users can acquire a fully operational database in an instant, eliminating the complications that typically arise from setting up the necessary compute resources. Furthermore, scaling your database resources is as simple as a click, adapting effortlessly to your evolving requirements. In a fast-paced software development environment, prolonged deployment times for physical database infrastructure are simply not an option. As a result, Lumen's Relational DB service ensures that your team can begin uploading data and focusing on application development within minutes of deployment. Leveraging our high-performance cloud platform, the Lumen Relational DB service is designed to meet the demands of modern development with speed and efficiency. This innovative approach not only streamlines operations but also enhances productivity across the board.

DittoBitto is a smart, user-friendly, yet robust multi-user relational database management system. It is built upon Microsoft’s Access database format, eliminating the need for extensive visual basic coding. Despite its compact size, it offers substantial power, making it ideal for various database requirements, and it can also be networked. With over 13,000 downloads from download.com, DittoBitto has garnered a loyal user base. Keeping your database in-house rather than on the cloud has its benefits, as many providers claim to safeguard your important data on remote servers, yet breaches occur frequently. Additionally, losing your internet connection means losing access to your information, and the unpredictability of online database providers going out of business raises concerns about data safety and continuity. DittoBitto includes an advanced feature that allows for an unlimited number of Forms, which serve as the primary interfaces for data input and retrieval. This versatility enhances the overall user experience, ensuring that database management remains efficient and effective.

SlashDB creates a REST API from relational databases, enabling users to read and write data in user-friendly formats such as XML, JSON, and CSV. Furthermore, it allows users to easily navigate through data using HTML, helping them to explore the available databases, tables, queries, and API endpoints. With the capability to serve as a central access point for multiple databases, SlashDB effectively establishes a comprehensive resource-oriented architecture (ROA) that functions as an API gateway for users seeking data access. Each database is provided with a web service shell that translates its relational structures into a coherent library of uniform resource locators (URLs). Adhering to REST principles, each data element is assigned a unique identifying URL, whether it consists of a simple scalar value or a complex nested structure of interrelated records. This functionality enhances data accessibility and organization, making it easier for developers to integrate and utilize varied data sources.

Convex is a reactive backend platform that is open-source and allows developers to create full-stack applications solely using TypeScript. This platform features a document-relational database that employs TypeScript for writing queries and mutations, thereby promoting type safety and fostering smooth integration with frontend components. With Convex, real-time synchronization is automatically managed between the frontend, backend, and database states, removing the need for developers to handle state management, cache invalidation, or WebSockets manually. Additionally, it provides in-built functionalities such as cloud functions, scheduling, authentication, file storage, and an array of components that can be easily integrated using a simple npm install command. Developers have the capability to define their entire backend through code, encompassing database schemas, queries, and APIs, all of which benefit from type-checking and autocompletion, while AI can assist in generating code with remarkable precision. The architecture of Convex guarantees that all transactions are serializable, ensuring strong consistency and effectively eliminating race conditions. Overall, this platform simplifies backend development while enhancing developer productivity through its comprehensive TypeScript support.

Vitess is a database clustering solution designed for horizontally scaling MySQL, merging key MySQL capabilities with the expansive scalability typically associated with NoSQL databases. Its intrinsic sharding capabilities allow for database growth without necessitating additional sharding logic within your application. Additionally, Vitess proficiently rewrites queries that could negatively impact performance, while employing caching strategies to manage queries effectively and minimize the risk of duplicate queries overwhelming your database. Functions such as master failovers and backups are seamlessly managed by Vitess, which also incorporates a lock server to oversee and manage servers, allowing your application to operate without concern for the underlying database architecture. By reducing the memory overhead associated with MySQL connections, Vitess enables servers to accommodate thousands of simultaneous connections efficiently. While native sharding isn't a feature of MySQL, the need for sharding is often crucial as your database expands, making Vitess an invaluable tool for scaling operations. Consequently, using Vitess can enhance both performance and reliability as you navigate the complexities of growing database demands.

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.