Overall rating
Over 10 million
unique users
Manage data from
100+ data sources
in one place
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Find your DBeaver Edition
Build a strong data dam
Connect to 100+ databases
Connect to PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Snowflake, and over 100 other databases. Use DBeaver’s SQL and data editors to query, edit, compare, and migrate data across your connections.
Write and run queries with a powerful SQL Editor
Use the SQL Editor to write, format, execute, and save SQL scripts across different databases. Get syntax highlighting, auto-completion, execution history, and tools for working with multiple statements and result sets. Use AI Assistant to explain or fix SQL errors, optimize and troubleshoot queries, or use the @ai command to generate SQL from natural language.
View and edit data in a spreadsheet-like grid
Open table data or query results in the Data Editor to filter, sort, search, copy, and edit rows directly. Preview and apply changes when working with structured data, JSON documents, or large result sets.
Import, export, and migrate data
Move data between tables and databases using guided transfer tools. Import data from CSV and other sources, export data, or migrate data between different database systems with mapping and transformation options. Use AI Chat to start imports and exports, and apply Smart Mapping to match source and target columns faster.
Turn AI Assistant on/off across DBeaver
AI Assistant adds AI-powered query generation, explanations, error fixing, and object exploration into DBeaver. You write, understand, and refine SQL faster, working in natural language right inside the app.
Work with Data with AI Chat
AI Chat lets you generate SQL in natural language and get answers and explanations about your databases. You can run queries directly from the chat, send them to the SQL Editor, and use AI to explain execution plans and suggest optimizations.
Connect AI tools through MCP
In all DBeaver PRO editions, you can connect external MCP servers to extend AI Assistant and AI Chat. This adds extra context, such as documentation or specific engines, to your AI tools.
In DBeaver Team Edition Web and CloudBeaver Enterprise, DBeaver works as an MCP server that bridges your databases with AI tools like Cursor, VS Code, or Claude. AI assistants see real schemas, can run queries, and follow the access rules you already configured.
For data builders
Developers
Write and debug SQL with AI assistance, smart completion, and error assist
Data Engineers
Explore, validate, and transform data across multiple databases
DBAs
Monitor, inspect, and control database health
Analysts
Explore and extract insights without engineering bottlenecks
Supported databases
DBeaver supports a broad range of SQL and NoSQL data sources, whether they are cloud-hosted or deployed on premises. Work with MongoDB, Snowflake, ClickHouse, Redshift, Oracle, MySQL, PostgreSQL, and more through one consistent interface, without switching tools. If your database is not supported out of the box, you can connect using its JDBC or ODBC driver.
What users say
Stuart P.
Product Owner
“Great dB client”
I was introduced to it by a fellow hobbyist and developer and have not looked back. I use it with PostgreSQL and connect to both local and hosted databases.
Shivam G.
Software Developer
“One Interface for Every Database : Solid SQL Editor and ER Diagrams”
What genuinely stands out with DBeaver is how many databases it handles from a single interface. Whether you are working with PostgreSQL, MySQL, MongoDB or even something like Cassandra, you do not need to switch tools.
Verified User
Professional in Engineering
“Awesome connectivity, configurability, organization”
DBeaver is used to connect, query, update and manage a variety of databases through many configurations. I personally use it because it can store many queries and associate them with a particular database or on a particular sheet with related queries.
Hiba A.
Software Quality Assurance Specialist
“Awesome UI for Viewing Tables, DDL, and Data with Ease”
The UI is awesome, I can view the tables, data, structure, DDL, constraints, trigger easily, also I can control the size of data, and the auto scroll for the data is good.
Joel K.
Programmer
“my Dbeaver review”
The UI is awesome, I can view the tables, data, structure, DDL, constraints, trigger easily, also I can control the size of data, and the auto scroll for the data is good.
Verified User
Employee in Information Technology
“Fully functional good tool”
I use DBeaver every single day as a data engineer. I use it to navigate though the database and to create tailored reporting for needs of the organization.
Swarnima G.
Senior SAP Commerce Engineer
“All in one database tool that improves productivity and simplifies workflow”
What I like best about DBeaver is how easy it makes working with multiple databases in one place. Instead of switching between different tools, everything is available in a single interface, which really improves daily workflow.
Tayyab N.
Lead Machine Learning Engineer
“Effortless Connections to a Variety of RDBMS Systems”
Ease of connecting to a variety of RDMS systems.
Swathi J.
Software Developer
“A powerful and versatile database management tool”
Overall, DBeaver has been a reliable and powerful tool for managing multiple databases in one place.
Arjun D.
QA Engineer
“Streamlining Database Workflows with DBeaver”
What I like most about DBeaver is how it lets me work with multiple databases in one place through a clean, intuitive UI. I regularly rely on the SQL editor, especially the auto-completion and query execution history, which make writing, troubleshooting, and debugging queries much faster.
How teams use DBeaver PRO
