10 Best Data & Databases Tools in 2026

OrientDB is a multi-model open-source NoSQL database management system that uniquely integrates the power of graph databases with the flexibility of document databases. It's designed to be a scalable, high-performance operational database that addresses the challenges of polyglot persistence by allowing multiple data models within a single system. This approach reduces operational complexity and helps maintain data consistency across different data types. This database is ideal for developers and organizations looking for a versatile and performant solution that can handle complex relationships and diverse data structures without the need for multiple specialized databases. Its architecture is engineered for speed, offering fast read and write operations, efficient RAM usage, and rapid traversal of graphs and trees, irrespective of database size. It aims to replace traditional relational DBMS for operational needs by providing enhanced functionality and flexibility.

HeidiSQL is a free and open-source database management tool designed for users who work with various database systems. It provides an intuitive interface to connect to and interact with databases such as MariaDB, MySQL, Microsoft SQL, PostgreSQL, SQLite, Interbase, and Firebird. Users can perform a wide range of operations, including editing data and structures, managing user privileges, and executing queries. The software simplifies common database tasks like creating and editing tables, views, stored routines, triggers, and scheduled events. It also offers robust import and export functionalities, allowing users to move data between different servers/databases or export table rows into various formats like CSV, HTML, XML, and SQL. With features like syntax-highlighting, code-completion, and SQL reformatting, HeidiSQL aims to enhance productivity for database administrators and developers.

TypeORM is an Object Relational Mapper (ORM) that can run in various JavaScript environments like Node.js, browsers, and mobile applications. It provides an elegant, type-safe API for interacting with databases, allowing developers to define entities and manage data with ease. It supports both DataMapper and ActiveRecord patterns, offering flexibility in how developers structure their database interactions. This ORM is built with TypeScript first, ensuring complete type safety for database models, which helps in catching errors early and improving code maintainability. It boasts extensive multi-database support, working seamlessly with popular relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, and more. TypeORM is designed for developers who need a robust and flexible solution for database abstraction in their JavaScript/TypeScript projects, simplifying complex queries and schema management through features like a powerful QueryBuilder and first-class migration support. TypeORM is ideal for developers building applications across various platforms, from web servers to mobile apps, who prioritize type safety, database flexibility, and efficient data management. Its comprehensive feature set, including automatic migration generation and cross-platform compatibility, makes it a valuable tool for modern application development.

pgAdmin is a comprehensive open-source administration and development platform designed for PostgreSQL and its derivatives like EDB Postgres Advanced Server. It provides a graphical interface for managing all aspects of your PostgreSQL databases, from creating and editing objects to monitoring performance and executing complex queries. This tool is ideal for database administrators, developers, and anyone working with PostgreSQL who needs a robust and user-friendly interface for database management. It simplifies routine tasks, offers powerful development tools like a query editor and debugger, and supports various deployment models including desktop and multi-user web server modes. Its extensive feature set aims to enhance productivity and streamline database operations for PostgreSQL users. Key benefits include cross-platform compatibility, support for multiple PostgreSQL versions, detailed documentation, and a wide array of tools for schema design, data manipulation, and job scheduling. It also incorporates security fixes and continuous updates to ensure a reliable and secure database management experience.

Redpanda is a high-performance, Kafka-compatible streaming data platform designed for the agentic AI era. It provides an "Agentic Data Plane" that enables AI agents to ingest, process, loop, and store data continuously at scale, with built-in governance and traceability. This platform unifies hundreds of data sources like applications, models, and databases into a single, secure access layer, allowing agents to access both live streams and historical records through a unified SQL query layer. Redpanda aims to address the challenges of building and trusting AI applications with sensitive data by offering enterprise-wide guardrails, identity, authorization, and policy controls. It captures every agent interaction in a transparent audit trail for debugging and traceability. Beyond its agentic AI capabilities, Redpanda functions as a powerful and efficient Apache Kafka alternative, built for high-throughput, low-latency data streaming workloads, offering significant cost savings and operational simplicity compared to traditional Kafka deployments.

Sequelize is a powerful Object-Relational Mapper (ORM) for Node.js, supporting various relational databases like PostgreSQL, MySQL, MariaDB, SQLite, and SQL Server. It simplifies database interactions by allowing developers to work with JavaScript objects instead of raw SQL queries. This makes database operations more intuitive, reduces boilerplate code, and helps maintain a consistent data model across the application. It is designed for developers working with JavaScript and TypeScript who need to manage relational databases efficiently. Key benefits include streamlined data modeling, automatic database synchronization, robust association management between models, and advanced features like transactions, migrations, and soft deletion. Sequelize helps improve developer productivity and code maintainability by abstracting complex database logic.

Knex.js is a powerful and flexible SQL query builder designed for JavaScript environments. It allows developers to write SQL queries programmatically using a fluent API, abstracting away the differences between various SQL dialects. This makes it easier to build database-driven applications with Node.js, as developers can write database interactions in JavaScript without needing to concatenate raw SQL strings. It's ideal for developers and teams working with Node.js who need a robust and maintainable way to interact with relational databases. Knex.js supports a wide range of popular databases, including PostgreSQL, MySQL, MariaDB, SQLite3, Oracle, and Amazon Redshift. Its focus on raw query building, schema building, and migrations helps ensure data integrity and simplifies database management within application development workflows. Key benefits include improved code readability, enhanced security against SQL injection attacks (due to parameterized queries), and increased productivity by providing a consistent API across different database systems. It also offers powerful features for schema management and database migrations, making it a comprehensive solution for database interaction in JavaScript applications.

SQL Chat is a chat-based SQL client and editor designed to simplify database interactions. It allows users to query and manage their databases using natural language, eliminating the need for complex SQL syntax. This tool is ideal for developers, data analysts, and anyone who needs to interact with databases but prefers a more intuitive, conversational interface. The product aims to make database management more accessible and efficient by translating natural language prompts into SQL queries. Users can ask questions about their data in plain English, and the tool will generate and execute the appropriate SQL, presenting the results in an easy-to-understand format. This approach significantly reduces the learning curve for SQL and speeds up data exploration and analysis.

Deno KV is a Key-Value database engine integrated within Deno Deploy, designed to provide a robust and scalable data storage solution for JavaScript and TypeScript applications. It allows developers to provision and manage KV databases directly from the Deno Deploy dashboard, seamlessly connecting them to their applications. A key feature of Deno KV is its support for 'timelines' in Deno Deploy Early Access, which enables automatic creation of separate database instances for different environments, such as production and individual Git branches. This ensures data isolation and security during development and testing, preventing accidental data corruption. The platform handles connections to the correct database based on the current environment, simplifying development workflows. Deno KV databases are replicated across multiple data centers for durability and offer consistent API usage across local development and deployed environments. This product is ideal for developers building applications on Deno Deploy who need a simple, managed key-value store with built-in environment isolation and automatic connection handling. It streamlines database management and integration, allowing developers to focus on application logic rather than infrastructure.

OpenMetadata is an open and unified metadata platform designed for data discovery, observability, and governance. It provides a single place for all data assets and enables data practitioners to build and manage high-quality data at scale. Built with a Unified Metadata Graph, it centralizes all metadata, offering complete data context across various use cases. The platform is built from the ground up for modern data teams, featuring an API and schema-first architecture that allows for metadata control and customization. It supports extensible metadata entities and relationships, facilitating data collaboration workflows between data producers and consumers. With over 100 turnkey connectors, OpenMetadata simplifies metadata collection from diverse data sources, powering a unified experience for data teams. It's designed for simple setup, operations, and scalability, offering a streamlined architecture with only four system components and a user-friendly interface for both technical and non-technical users.