Best Database Software for Python

DbVisualizer is one of the world’s most popular database clients. Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries. It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes. Free and Pro versions are available.

DataGrip is our new database IDE, designed to meet the needs of professional SQL developers. You can execute queries in multiple modes. It also provides a local history which keeps track of your activity and protects your work from being lost. You can jump to any table or view by the name of the action or directly from the SQL code. This tool gives you a detailed insight into the behavior of your queries and the database engine behavior so that you can optimize your queries. DataGrip allows you to write SQL code more quickly by providing context-sensitive code completion. Completion can detect the table structure, foreign keys and even database objects that were created in the code you are editing. DataGrip will detect potential bugs in your code and suggest the best ways to fix them. It will instantly notify you of unresolved objects using keywords as identifiers. It also offers solutions.

Oracle SQL Developer is an integrated development environment that makes it easy to develop and manage Oracle Databases in traditional and cloud deployments. SQL Developer provides complete end-to–end development for your PL/SQL apps, a worksheet to run queries and scripts and a DBA console to manage the database. It also offers a data modeling solution and a migration platform to move your 3rd-party databases to Oracle. You can run your sql and sqlscripts, manage users and create and edit objects. You can also import data to new and existing tables, diagnose performance issues, visualize schemas, and more. You can now access the power of your favorite desktop program from your browser. Access Oracle REST Data Service for your on-premises instances. Migration of Oracle On-Premises to Oracle Cloud Click, browse, or manage the contents of your Oracle Database.

Manage changes, tune queries and administer relational databases. Database professionals must reduce the time and effort required to manage and develop databases within their organization. IDERA's suite of top tools can help you manage and develop multiple databases platforms. Perform database administration. Automate complex database schema changes and manage them. Automate SQL query tuning. Create efficient SQL code

MatDeck is a universal technical software that can be used for mathematics, science, engineering, chemistry, programming, databases, and many other purposes. Our software includes a complete Python IDE, thousands of mathematical functions, a drag-and-drop GUI Designer, and many visualization tools. All this is embedded in a cutting-edge, live document that provides a professional computing environment at a low cost.

Tabular is a table store that allows you to create an open table. It was created by the Apache Iceberg creators. Connect multiple computing frameworks and engines. Reduce query time and costs up to 50%. Centralize enforcement of RBAC policies. Connect any query engine, framework, or tool, including Athena BigQuery, Snowflake Databricks Trino Spark Python, Snowflake Redshift, Snowflake Databricks and Redshift. Smart compaction, data clustering and other automated services reduce storage costs by up to 50% and query times. Unify data access in the database or table. RBAC controls are easy to manage, enforce consistently, and audit. Centralize your security at the table. Tabular is easy-to-use and has RBAC, high-powered performance, and high ingestion under the hood. Tabular allows you to choose from multiple "best-of-breed" compute engines, based on their strengths. Assign privileges to the data warehouse database or table level.

Hue provides the best querying experience by combining the most intelligent autocomplete components and query editor. The tables and storage browses use your existing data catalog in a transparent way. Help users find the right data among thousands databases and document it themselves. Help users with their SQL queries, and use rich previews of links. Share directly from the editor in Slack. There are several apps, each specialized in one type of querying. Browsers are the first place to explore data sources. The editor excels at SQL queries. It has an intelligent autocomplete and risk alerts. Self-service troubleshooting is also available. Dashboards are primarily used to visualize indexed data, but they can also query SQL databases. The results of a search for specific cell values are highlighted. Hue has one of the most powerful SQL autocompletes on the planet to make your SQL editing experience as easy as possible.

Focus on application innovation and not database management with a fully-managed and intelligent Azure Database PostgreSQL. Scale up your workload with confidence and ease. Enjoy high availability thanks to a service level agreement (SLA) that guarantees up to 99.99% uptime, AI-powered performance suggestions, and built-in enterprise safety. With a fully-managed PostgreSQL as a service, you can focus on application innovation. The zone-redundant, high availability automates updates, patches, and maintenance. You can provision in minutes, and you can independently scale compute or store. Reduce costs with database monitoring and optimization tools. Intelligent performance recommendations can help you achieve peak performance. Migrate easily using a PostgreSQL fully managed database that supports the latest versions. Build with your favorite PostgreSQL Extensions such as Cron PostGIS PLV8 etc.

Azure Database for MySQL is easy to install, manage, and scale. Enjoy advanced security and high availability with a Service Level Agreement (SLA) up to 99.99%. Fully managed MySQL is compatible with the latest editions of the community editions and provides maximum flexibility in database operations. Intelligent performance recommendations offer custom analysis and suggestions to optimize MySQL databases. Azure App Service and Azure Kubernetes Service are tightly integrated to simplify development and provide a tighter interoperability. Microsoft Defender for Identity has enhanced security capabilities and enterprise-grade compliance. Azure Database for MySQL allows you to easily migrate or build your workloads. Setup, manage and automate maintenance of your MySQL server, including backups, security, and routine updates. Build with the latest MySQL drivers, tools, and programming languages.

LanceDB is an open-source database for AI that is developer-friendly. LanceDB provides the best foundation for AI applications. From hyperscalable vector searches and advanced retrieval of RAG data to streaming training datasets and interactive explorations of large AI datasets. Installs in seconds, and integrates seamlessly with your existing data and AI tools. LanceDB is an embedded database with native object storage integration (think SQLite, DuckDB), which can be deployed anywhere. It scales down to zero when it's not being used. LanceDB is a powerful tool for rapid prototyping and hyper-scale production. It delivers lightning-fast performance in search, analytics, training, and multimodal AI data. Leading AI companies have indexed petabytes and billions of vectors, as well as text, images, videos, and other data, at a fraction the cost of traditional vector databases. More than just embedding. Filter, select and stream training data straight from object storage in order to keep GPU utilization at a high level.

Tobiko, a data-transformation platform, is backward compatible with databases and ships data faster, more effectively, with fewer errors. Create a development environment without having to rebuild the entire DAG. Tobiko only makes the necessary changes. Do not rebuild the entire page when you add a new column. You already built your change. Tobiko automatically promotes your prod without requiring you to redo any of your work. Avoid debugging clunky Jinja by defining your models in SQL. Tobiko is scalable for startups and enterprises. Tobiko improves developer productivity and understands the SQL that you write by detecting issues at compile time. Audits and data comparisons provide validation, making it easy to trust your datasets. Each change is analyzed, and automatically classified as breaking or not. When mistakes occur, teams can seamlessly rollback to the previous version to reduce production downtime.

Turso, a globally distributed SQLite compatible database service, is designed to provide low latency data access on various platforms including online, off-line, and on devices. Turso, which is built on libSQL (an open-source fork SQLite), allows developers to deploy databases closer to their users and enhance application performance. It integrates seamlessly with multiple frameworks and infrastructure providers. This allows for efficient data management in applications such as AI agents and large language models. Turso provides features such as unlimited databases, instant branching with rollback, and native vector searches at scale. This allows for efficient parallel vector searching across users, instances or contexts by using SQL database integration. The platform is designed to be secure, with encryption in transit and at rest. It also offers an API-first approach to programmatic database management.

Serverless computing is perfect for systems with unpredictable load. Storage scaling, query execution and backup layers are all fully automated. The compatibility of AWS SDKs in serverless mode allows for Java, JavaScript Node.js.NET PHP Python Ruby. YDB is hosted across three availability zones to ensure availability, even if a zone or node goes offline. The system will automatically recover and continue working if equipment or data centers fail. YDB can handle hundreds of thousands transactions per second and has low latency. The system was designed for hundreds of petabytes.