
This page was last updated on June 9th, 2025
Relational databases store and manage data in a traditional table format, with each piece of data organized into a row and a column. Columns hold the data of a single type or field, like first name, order number, or the image link of a product logo. Rows create the relationship between these data points. For example, rows can associate a first name to a last name and then to a user name, email address, and customer ID. Businesses use relational databases to maintain the data from their applications and ensure they always have access to critical customer information, product data, social data, and financial particulars like purchases, fulfillment, revenue, and expenses. These systems can range from desktop applications that create a small database on your machine to large enterprise-grade data stores. Almost all use a form of SQL as their query language, and most adhere to the ACID set of properties to ensure reliable transactions: atomicity, consistency, isolation, and durability.
Relational databases are generally chosen due to their simplicity in comparison to NoSQL databases, such as object-oriented databases, document databases, and graph databases. Those looking for a relational database solution with little budget also have options with free database software.
To qualify for inclusion in the Relational Databases category, a product must:
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VistaDB consists of a redistributable database engine, Visual Studio integration, tools for data management, documentation, sample code and our fanatical technical support. In addition, VistaDB works with various ORMs and other third party tools.
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This description is provided by the seller.
Webteacher's Webdata is a web database software program which can be easily installed and administrated without requiring any programming skills.
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This description is provided by the seller.
XLeratorDB is an In-Database Analytics calculation engine that provides a rich set of advanced high-speed financial, statistical and mathematical analytic functions designed to integrate seamlessly into database-driven applications. XLeratorDB Suite includes the following XLeratorDB function packages: financial, statistics, math, engineering, and strings - which include over 800 functions that plug into SQL Server transforming your database from a simple data processing engine into a world-class data analytics engine.
This description is provided by the seller.
This description is provided by the seller.
Aidbox is a FHIR+ server that efficiently stores and distributes healthcare data using the FHIR standard as an extendable internal data model and provides standardized APIs, enabling different healthcare systems and applications to efficiently and securely exchange standardized healthcare information. What FHIR versions does Aidbox support? Aidbox supports STU3, R4, R4B, R5. Additionally, the Health Samurai team can provide specific snapshots of the recent FHIR specification builds quickly upon request, ensuring users have access to the latest updates and resources available in the FHIR ecosystem. Please reach out to us if you need a specific snapshot. What FHIR IGs does Aidbox support? Aidbox maintains the FHIR IG registry that allows importing and using more than 500 FHIR Implementation Guides and their dependencies out of the box. The registry includes US Core IG, mCODE IG, Da Vinci Payer Data Exchange (PDex), CARIN IG for Blue Button®, and other FHIR IGs. How do we extend or customize Aidbox? Aidbox expands the existing data model by adding custom resources and extensions. Additionally, it allows you to define custom operations using your preferred technology, extending the existing functionality. What Aidbox can provide beyond FHIR API? In addition to the comprehensive FHIR API, Aidbox provides multiple APIs for enhanced functionality, including: GraphQL API SQL API SQL on FHIR engine for flattering FHIR data Bulk import and export Reactive API and Subscriptions to execute custom logic on data changes Granular security and access control layers How do I load data to Aidbox? Aidbox supports standard FHIR APIs for creating and updating resources individually or in batches, allowing you to interact with the server using standard FHIR operations like POST, PUT, and PATCH. Besides Aidbox offers advanced bulk import APIs features for efficiently loading large datasets. Check out our recent blog post here. What security features does Aidbox provide? Aidbox's robust security features protect sensitive healthcare data and ensure compliance with regulations. - Built-in OAuth 2.0/OpenID Connect server enables secure authentication and authorization. - Integrations with OKTA, Azure AD, Keycloak, Conginto. - Access Policies defined using JSON Schema, SQL, and Matcho DSL. - Audit log Is Aidbox HIPAA compliant? Aidbox offers a HIPAA-eligible infrastructure with technical safeguards, automated deployment options, audit logging, access control, data synchronization, and functionality for data anonymization to ensure the protection of patient health information (PHI). Are there any services Health Samurai can provide to support customers? Health Samurai offers support (from basic to enterprise), and professional services including Aidbox deployment and trainings, and can amplify your development team with FHIR engineers. How can we evaluate Aidbox? You can get an Aidbox development license free of charge. Additionally, Aidbox provides a sandbox environment that allows you to get an Aidbox instance up and running in just a few minutes. Moreover, you have the opportunity to initiate a pilot project with support from Aidbox. For further information, please reach out to us. How do we deploy and maintain Aidbox? Health Samurai Aidbox provides all the necessary functionality for deployment (including publicly available HELM charts) and maintenance (OTEL for logging, tracing and metrics, and backups). Besides, we can deploy and maintain Aidbox in your infrastructure. What makes Aidbox unique? Direct data access Aidbox doesn’t hide data from you. Besides, Aidbox provides SQL API to effectively query and manage data when FHIR API is not enough. Metadata-driven architecture Aidbox FHIR Server is driven by a metadata-driven architecture approach where everything, including resources, extensions, and operations, is represented as customizable data. This allows for greater flexibility and control compared to a traditional FHIR server. Performance Aidbox demonstrates exceptional performance, operating at least 10 times faster than many popular open-source FHIR servers, even with minimal hardware resources. This efficiency makes it suitable for handling heavy workloads and large datasets, crucial for mission-critical healthcare applications. Operational Efficiency Distributed as a Docker container, Aidbox simplifies deployment and operational processes. It requires only a PostgreSQL cluster, minimizing overhead costs associated with managing complex microservices architectures. Reliability Aidbox is designed for high reliability, consistently delivering dependable results across various load conditions. This makes it a robust platform for environments where reliability is paramount, such as hospitals and healthcare systems. Ready-to use administrative interfaces it is a comprehensive user interface aimed at facilitating efficient data management and interaction for users, including administrators and developers. Key components of the Aidbox UI, such as Aidbox Notebooks, REST Console, SQL console, IAM, profiles make working with Aidbox much easier and more productive.
This description is provided by the seller.
This description is provided by the seller.
AlaSQL - is a lightweight client-side in-memory SQL database designed to work in browser and Node.js.
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This description is provided by the seller.
AliSQL is a customized branch of MySQL developed by Alibaba Cloud, designed to meet the demands of high-throughput, high-concurrency, and low-latency online transaction processing systems. Building upon the MySQL Community Edition, AliSQL introduces enterprise-grade features and optimizations that enhance performance, stability, and security, making it particularly suitable for large-scale enterprise applications. Key Features and Functionality: - Thread Pool: Implements a listener-worker processing model to improve connection handling and optimize concurrency for various operations, ensuring consistent high performance under heavy loads. - Statement Outline: Utilizes optimizer and index hints to stabilize SQL execution plans, preventing performance degradation due to data changes, index modifications, or parameter adjustments. - Fast Query Cache: Redesigns the native MySQL query cache to enhance concurrency control, memory management, and caching mechanisms, significantly boosting query performance. - Binlog in Redo: Synchronizes binary log content with redo logs during transaction commits, reducing disk I/O operations and improving overall database performance. - Faster DDL: Optimizes buffer pool management strategies to minimize lock contention during Data Definition Language operations, allowing schema changes to be performed efficiently even under high business pressure. - Async File Purge: Introduces asynchronous file cleanup tasks for large file deletions, preventing file system locks and ensuring uninterrupted database operations. - Slow Log Rotate: Implements a mechanism to rotate slow query logs based on time or file size, facilitating maintenance without requiring database restarts. - SQL Outline: Extends SQL hints to persist execution paths, ensuring stable execution plans across database upgrades, index changes, and statistical information updates. Primary Value and Problem Solving: AliSQL addresses the challenges faced by large enterprises in managing high-volume, high-concurrency transactional workloads. By enhancing MySQL with enterprise-level features and optimizations, AliSQL provides a robust, efficient, and secure database solution that supports seamless scalability and reliable performance. Its advanced capabilities, such as improved connection handling, optimized query execution, and efficient schema management, empower businesses to maintain database stability and performance, even during peak operational periods.
This description is provided by the seller.
This description is provided by the seller.
Fast and beautiful database client!
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This description is provided by the seller.
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices.
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This description is provided by the seller.
Comdb2 is a relational database built in-house at Bloomberg L.P. over the last 14 years or so. It started with a modest goal of replacing an older home-grown system to allow databases to stay in sync easier. SQL was added early in its development, and it quickly started replacing other relational databases in addition to its original goal. Comdb2 today holds a good chunk of Bloomberg’s data, and is continually developed by a dedicated team.
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This description is provided by the seller.
DoltHub is a web-based platform that integrates Git-like version control with SQL databases, enabling seamless collaboration on data projects. It allows users to manage and track changes in their data repositories, similar to how version control systems manage code. This makes it particularly useful for teams working with large datasets or databases, as it provides a structured way to collaborate and maintain data integrity. Key Features and Functionality: - Version Control: Users can fork, clone, branch, merge, push, and pull databases, mirroring Git operations for data management. - SQL Integration: DoltHub supports SQL-based querying, allowing users to execute SQL queries directly against their data repositories. - Collaborative Workflows: The platform facilitates collaborative workflows by enabling multiple users to work on the same database simultaneously, with features like pull requests and data diffs. - Data Visualization and Editing: DoltHub provides tools for data visualization and editing, making it easier for users to understand and modify their data. - Remote Repositories: The platform supports remote repositories, enabling seamless collaboration across teams by allowing users to push and pull changes from remote repositories. Primary Value and Problem Solved: DoltHub addresses the challenges of collaborative data management by combining the familiarity of Git's version control with the robustness of SQL databases. It eliminates the inefficiencies of traditional methods, such as emailing CSV files, by providing a centralized platform where data changes are tracked, reviewed, and merged systematically. This ensures data integrity, enhances collaboration, and simplifies the process of managing and sharing structured data across teams.
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This description is provided by the seller.
dotConnect for Adobe Commerce is an ADO.NET provider for working with Adobe Commerce data through the standard ADO.NET or Entity Framework interfaces. It allows you to easily integrate Adobe Commerce data into your .NET applications, and integrate Adobe Commerce services with widely used data-oriented technologies. dotConnect for Adobe Commerce has the same standard ADO.NET classes as other standard ADO.NET providers: MagentoConnection, MagentoCommand, MagentoDataAdapter, MagentoDataReader, MagentoParameter, etc. This allows you quickly get started with it and eliminates the need to study any Adobe Commerce data access specificities.
This description is provided by the seller.
This description is provided by the seller.
dotConnect for BigCommerce is an ADO.NET provider for working with BigCommerce data through the standard ADO.NET or Entity Framework interfaces. It allows you to easily integrate BigCommerce data into your .NET applications, and integrate BigCommerce services with widely used data-oriented technologies. dotConnect for BigCommerce has the same standard ADO.NET classes as other standard ADO.NET providers: BigcommerceConnection, BigcommerceCommand, BigcommerceDataAdapter, BigcommerceDataReader, BigcommerceParameter, etc. This allows you quickly get started with it and eliminates the need to study any BigCommerce data access specificities.
This description is provided by the seller.
This description is provided by the seller.
dotConnect for Db2 is a high-performance ADO.NET data provider that helps software developers implement easy access to IBM Db2 databases in their applications. Our data provider allows integrating Db2 with .NET-based data-related technologies. It helps build all kinds of .NET applications and fully supports a wide range of Db2-specific features, works under secure SSL and SSH connections, and delivers seamless integration with Visual Studio. - Broad compatibility with .NET platforms and major Db2 versions - ORM support: EF Core, Dapper, NHibernate, LinqConnect, etc. - Full compliance with ADO.NET - Easy connection through SSL, SSH, proxy servers, and HTTP tunnels - Advanced encryption and data integrity - Integration with Visual Studio and design-time support - Regular updates and detailed documentation
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This description is provided by the seller.
dotConnect for Dynamics 365 (formerly Dynamics CRM) is a high-end ADO.NET data provider for accessing and managing Dynamics 365 data through the standard ADO.NET or Entity Framework interfaces. It helps you easily integrate Dynamics 365 data into .NET applications. Our data provider has the same standard ADO.NET classes as other providers. This helps you get started quickly and eliminates the need to study any specifics of Dynamics 365. - Broad compatibility with .NET platforms, including WPF, Blazor, MAUI, Windows Forms, etc. - ORM support: EF Core, Dapper, NHibernate, LinqConnect, etc. - Full compliance with ADO.NET - SSL, SSH, proxy servers, and HTTP tunnels support - Integration with Visual Studio and design-time support - Regular updates and detailed documentation
This description is provided by the seller.
This description is provided by the seller.
dotConnect for FreshBooks is an ADO.NET provider for working with FreshBooks data through the standard ADO.NET or Entity Framework interfaces. It allows you to easily integrate FreshBooks data into your .NET applications, and integrate FreshBooks services with widely used data-oriented technologies. dotConnect for FreshBooks has the same standard ADO.NET classes as other standard ADO.NET providers: FreshBooksConnection, FreshBooksCommand, FreshBooksDataAdapter, FreshBooksDataReader, FreshBooksParameter, etc. This allows you quickly get started with it and eliminates the need to study any FreshBooks data access specificities.
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