Alternatives to Empress RDBMS

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.

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.

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.

Apache Derby, a subproject of Apache DB, is a free and open-source relational database system that is completely written in Java and distributed under the Apache License, Version 2.0. With a compact size of approximately 3.5 megabytes for its core engine and embedded JDBC driver, Derby is designed to be lightweight and efficient. It offers an embedded JDBC driver that enables seamless integration of Derby into any Java application. Additionally, Derby accommodates traditional client/server architecture through its Derby Network Client JDBC driver and Derby Network Server, ensuring versatile deployment options for developers. This flexibility makes Derby a suitable choice for a wide range of applications.

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.

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.

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

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.

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.

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.

Looking to integrate your proprietary database with popular tools like Access, Visual Basic, PowerBuilder, or Crystal Reports? The Dr. DeeBee® ODBC Driver Kit makes this process straightforward and efficient! With this kit, you can swiftly create ODBC database drivers, enabling connectivity for your proprietary database without the need to master the complexities of ODBC. Included in the Dr. DeeBee ODBC Driver Kit is the complete source code for a fully operational ODBC driver, which you can customize and distribute without any royalties. Simply implement functions such as OpenTable, NextRecord, GetData, and PutData, and then recompile the driver—it's as easy as that! Additionally, the Network Edition offers the full source code for a fully functional network-enabled ODBC 3.0 driver, complete with Level 2 features, which you can also modify and distribute freely. You’ll find that setting up database connectivity has never been this accessible or hassle-free!

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.

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.

Enhance your access to IBM Db2 data with our high-performance connectivity solutions designed for application interactions with IBM Db2 databases. Our versatile connectors, including ADO.NET, ODBC, ADO, and JDBC, facilitate seamless data sharing between applications and IBM Db2 databases, ensuring quick and dependable access to Db2 servers across various platforms such as IBM i/iSeries/AS400, zOS/OS390, VSE/VM, AIX, Solaris, HP/UX, Windows, and Linux. Additionally, bolster your application's security by implementing our encryption solutions to protect data during transmission. Optimized for native IBM operating systems, our offerings draw on over 20 years of experience with IBM Db2, guaranteeing a solution tailored to the specific demands of any environment, whether it be ODBC, .NET, JDBC, or OLE DB. With a straightforward setup and user-friendly toolbox, our performance-driven .NET data providers for IBM® Db2® ensure reliable access for both third-party commercial applications and bespoke solutions, thereby enhancing overall operational efficiency. The combination of these features allows organizations to maximize data integrity and speed in their operations.

Ensure your business applications are continuously accessible by leveraging a dependable database system designed for enterprise-level, high-volume workloads with exceptional fault tolerance. The CA Datacom® suite, along with its various rDBMS offerings, serves as the robust repository you need. This resilient database system takes advantage of zIIP specialty processor technology, resulting in enhanced and economically efficient database management. It facilitates seamless integration with mobile-to-mainframe initiatives, cloud services, web applications, and big data analytics through JDBC and ODBC interfaces. Effectively handle high-volume workloads, while each new version incorporates advanced hardware technologies and refined memory optimization strategies. Database Administrators and Systems Programmers can easily monitor and manage their environment by querying the Dynamic System Tables within a Multi-User Facility region on a specific LPAR, utilizing contemporary tools. Furthermore, modern developers who may be new to the mainframe environment can efficiently manage their source code using popular modern IDEs like Visual Studio Code or Eclipse CHE, bridging the gap between traditional and contemporary development practices. This capability not only enhances productivity but also fosters innovation within the organization.

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

WinSQL, a powerful database management tool, is used by 90% of Fortune 500 companies as well as more than a million programmers worldwide. WinSQL can connect to virtually any relational database (RDBMS), for which an Open Database Connectivity driver (ODBC), is available.

MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.

ThinkSQL is an advanced relational database management system that is compatible with various modern operating systems and hardware configurations. Its design prioritizes complete adherence to the ISO SQL standard, ensuring that it serves as an adaptable and open SQL server for diverse application needs. By following the SQL standard, it incorporates essential features such as transactions, subqueries, views, and set operators like union, except, and intersect, along with managing access privileges and enforcing comprehensive referential constraints to maintain data integrity. Utilizing a multi-versioning engine, ThinkSQL guarantees consistent data views and allows multiple users to access rows simultaneously without the need for locking. Additionally, it supports stored procedures and functions in line with standard syntax and accommodates large multimedia objects seamlessly. Installation is straightforward, and it operates effectively on both Windows ® and Linux ® systems. Moreover, it provides native drivers for ODBC, JDBC™, dbExpress™, and Python, enabling direct connections from any platform for your applications, thus enhancing its versatility and usability. With these capabilities, ThinkSQL stands out as a robust solution for organizations looking to manage their databases effectively.

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.

Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your projects.

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.

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.

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).

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

GeoSpock revolutionizes data integration for a connected universe through its innovative GeoSpock DB, a cutting-edge space-time analytics database. This cloud-native solution is specifically designed for effective querying of real-world scenarios, enabling the combination of diverse Internet of Things (IoT) data sources to fully harness their potential, while also streamlining complexity and reducing expenses. With GeoSpock DB, users benefit from efficient data storage, seamless fusion, and quick programmatic access, allowing for the execution of ANSI SQL queries and the ability to link with analytics platforms through JDBC/ODBC connectors. Analysts can easily conduct evaluations and disseminate insights using familiar toolsets, with compatibility for popular business intelligence tools like Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as support for data science and machine learning frameworks such as Python Notebooks and Apache Spark. Furthermore, the database can be effortlessly integrated with internal systems and web services, ensuring compatibility with open-source and visualization libraries, including Kepler and Cesium.js, thus expanding its versatility in various applications. This comprehensive approach empowers organizations to make data-driven decisions efficiently and effectively.

HSQLDB, or HyperSQL DataBase, stands out as a premier SQL relational database system developed in Java. It boasts a compact, efficient multithreaded transactional engine that accommodates both in-memory and disk-based tables, functioning effectively in embedded and server configurations. Users can take advantage of a robust command-line SQL interface along with straightforward GUI query tools. HSQLDB is distinguished by its comprehensive support for a vast array of SQL Standard features, including the core language components from SQL:2016 and an impressive collection of optional features from the same standard. It provides full support for Advanced ANSI-92 SQL, with only two notable exceptions. Additionally, HSQLDB includes numerous enhancements beyond the Standard, featuring compatibility modes and functionalities that align with other widely used database systems. Its versatility and extensive feature set make it a highly adaptable choice for developers and organizations alike.

Experience seamless schema evolution throughout all your environments effortlessly, utilizing straightforward SQL. With version control for your database, migrations become a breeze, allowing you to proceed with confidence. Flyway empowers you to manage your migrations effectively, alleviating any concerns about your database's integrity. The process of releasing updates has never been simpler, as it employs plain SQL scripts that include placeholder substitutions without the need for proprietary formats or vendor lock-in. For more complex data transformations and handling of large objects, Java-based migrations are available; all you require is Java 7+ alongside your JDBC driver. Moreover, Flyway features filesystem and classpath scanning, enabling automatic detection of SQL and Java migrations. It is designed to be safe in clustered environments, allowing multiple machines to execute migrations simultaneously. You can package migrations with your application and trigger them automatically during startup through the API. If your database is inconsistent or a migration fails, it will prevent the application from launching, ensuring reliability in your deployment process. Embrace the future of database management with Flyway, where simplicity meets efficiency.

solidDB has gained global recognition for its ability to deliver data at remarkable speeds. Millions of solidDB installations can be found across telecommunications networks, enterprise applications, and embedded systems. Leading companies like Cisco, HP, Alcatel, Nokia, and Siemens depend on solidDB for their most critical applications. By storing essential data in memory instead of on traditional disk systems, solidDB outperforms standard databases significantly. This allows applications to achieve throughputs ranging from hundreds of thousands to millions of transactions per second, with response times that are measured in mere microseconds. In addition to its revolutionary performance, solidDB includes built-in features that ensure data availability, helping to maintain uptime, avert data loss, and speed up recovery processes. Furthermore, solidDB is designed to offer administrators the flexibility to customize the software to meet specific application requirements, while also including user-friendly features for easier deployment and management, which contributes to a reduction in total cost of ownership (TCO). Ultimately, the combination of high performance and adaptability makes solidDB a preferred choice in the competitive landscape of data management solutions.

LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.

Perst is an open source, dual-licensed object-oriented embedded database management system (ODBMS) created by McObject. It comes in two versions: one designed as an all-Java embedded database and another tailored for C# applications within the Microsoft .NET Framework. This database system enables developers to efficiently store, sort, and retrieve objects, ensuring high speed while maintaining low memory and storage requirements. By utilizing the object-oriented features of both Java and C#, Perst showcases a significant performance edge in benchmarks like TestIndex and PolePosition when compared to other embedded database solutions in Java and .NET. One of its standout capabilities is its ability to store data directly in Java and .NET objects, which eliminates the need for translation typical in relational and object-relational databases, thereby enhancing run-time performance. With a compact core comprised of only five thousand lines of code, Perst demands minimal system resources, making it an attractive option for resource-constrained environments. This efficiency not only benefits developers but also contributes to the overall responsiveness of applications utilizing the database.

QuintaDB serves as an intuitive platform for building online web forms and databases. There’s no necessity to learn programming languages or any web frameworks, allowing users to design and tailor forms, charts, and maps with just a few clicks for integration into forums, blogs, or web pages. This platform streamlines business management by offering complete control over application processes, along with features such as email and SMS notifications. Users can implement conditional actions and formatting, as well as create a customer portal for enhanced interaction. Data is securely stored online within a relational database that boasts a user-friendly interface, eliminating the need for personal server purchases. With 24/7 access, users can retrieve information from any location around the globe. Furthermore, QuintaDB allows the integration of web forms, tables, charts, and maps as customizable widgets on various online platforms, enabling the creation of a unique design that fits individual needs perfectly. This flexibility not only enhances user experience but also fosters innovative solutions for diverse applications.

Adaptive Data Virtualization™ technology empowers businesses to operate their current applications on contemporary cloud data warehouses without the need for extensive modifications or reconfiguration. With Datometry Hyper-Q™, organizations can swiftly embrace new cloud databases, effectively manage ongoing operational costs, and enhance their analytical capabilities to accelerate digital transformation efforts. This virtualization software from Datometry enables any existing application to function on any cloud database, thus facilitating interoperability between applications and databases. Consequently, enterprises can select their preferred cloud database without the necessity of dismantling, rewriting, or replacing their existing applications. Furthermore, it ensures runtime application compatibility by transforming and emulating legacy data warehouse functionalities. This solution can be deployed seamlessly on major cloud platforms like Azure, AWS, and GCP. Additionally, applications can leverage existing JDBC, ODBC, and native connectors without any alterations, ensuring a smooth transition. It also establishes connections with leading cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, broadening the scope for data integration and analysis.

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.

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.

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.

Establish connectivity that adheres to recognized standards (ODBC, JDBC, ADO.NET) for the foundational data, ensuring compatibility with widely-used analytical and data integration platforms. Sensitive personal information can be concealed or made accessible strictly on a need-to-know basis. The OpenAccess SDK serves as a valuable resource for developers, facilitating the creation of a standards-compliant driver with SQL capabilities, covering approximately 99% of the necessary coding. This SDK enables the rapid development of an ODBC, JDBC, or ADO.NET driver that aligns with your specific needs while eliminating the need for extensive domain knowledge or rigorous coding efforts. You can swiftly generate a tailored driver using our ready-made add-ons or work directly with the SDK interfaces. It provides the quickest method to ensure your application integrates seamlessly with data-centric solutions, including BI and analytics tools, ETL processes, and beyond. Furthermore, it allows for the establishment of a unified interface for accessing data across all standards-compliant APIs, thereby enhancing overall efficiency and usability.

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.

Compare and synchronize sql data visually. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • 30-day full trial. • Free for comparing data and metadata.

Effortlessly develop robust applications tailored for your organization. Rocket® D3 and mvBase offer integrated environments for database management and application development, catering to both transactional and analytical needs. These solutions feature scalable and adaptable interoperability, providing seamless connectivity while minimizing system management overhead. Businesses around the globe leverage D3 to address pressing challenges and enhance their operational efficiency. With exceptional performance and scalability for both transactional processing and business analytics, these solutions ensure minimal operating costs and streamlined system management. The high-performance database engine allows for versatile data organization within a Windows setting. Additionally, you can easily transition your MultiValue applications to the web, enabling access to remote RDBMS tables from anywhere via the standardized Open Database interface. This flexibility empowers users to optimize their data management and accessibility across diverse platforms.

RDS for MySQL is a robust and scalable database service available in the cloud. You can set up your databases in mere minutes, allowing you to concentrate on developing applications without the burden of complex database operations. This service effectively eliminates the stress associated with database maintenance. With a few simple clicks, a MySQL database can be created in no time. RDS for MySQL streamlines both software and hardware deployments while managing your databases by automating tasks such as patch installations, performance monitoring, dynamic scaling, and failover processes when necessary. Thanks to optimized kernel thresholds, RDS for MySQL is highly efficient in processing large volumes of simultaneous requests, outperforming the traditional MySQL community edition. It employs implicit primary keys, ensuring that primary and standby replication occurs with minimal delay. Even during peak load periods, there is no risk of data loss. Additionally, as your needs for storage expand, you can effortlessly allocate 1 TB of storage for read replicas instantly without experiencing any downtime, making it an excellent choice for growing applications. This level of convenience and reliability makes RDS for MySQL a preferred option among developers and businesses alike.

CData Software stands out as a premier provider of solutions for data access and connectivity, focusing on creating drivers and technologies that allow for real-time access to both online and on-premise applications, databases, and Web APIs. The versatility of CData Drivers allows users to connect to data through widely recognized standards and application platforms, including ODBC, JDBC, ADO.NET, OData, SSIS, BizTalk, and Excel. With a portfolio that boasts over 130 data sources, CData caters to a wide range of applications, encompassing analytics and BI platforms, CRM systems, ERP tools, data warehousing, databases, as well as popular SaaS solutions in finance, accounting, and marketing. CData Drivers empower users to effectively link BI, Reporting, and ETL tools to a multitude of data sources, drastically reduce development time by offering pre-built solutions, and utilize SQL for data access, eliminating the need for intricate coding. Renowned for their reliability, CData Drivers are trusted by users across the globe and come with robust support options, ensuring that assistance is available whenever it's needed. Whether you're a small business or a large enterprise, CData's solutions can significantly enhance your data management experience.