Relational
PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, SQLite, and compatible managed services.
Database IDE for developers
Database IDE for developers: Query SQL, MongoDB & Redis.
Inspect schemas, run native queries, edit supported data, and give a coding agent the database evidence behind an application bug.
One workspace from schema to code fixDatabase objects, queries, results, repository files, and AI chat remain within reach.
The problem
Database debugging breaks when every fact lives in a different tool.
A backend failure can require the table definition, the exact row shape, a migration, an API request, and the code that maps the result. Copying fragments between a database client, terminal, browser, and AI chat removes the context that explains the failure.
The query tool must also respect the target. SQL tables, MongoDB documents, Redis keys, analytical databases, and local files do not share the same editing or query model.
How Flame solves it
Follow the data from connection to verified code change.
- 01
Connect the application data store
Save the connection beside the project that owns it, then open the database without switching to another desktop client.
- 02
Inspect structure before querying
Browse schemas, tables, views, collections, keys, and columns so the query starts from the real data model.
- 03
Run the native query language
Execute SQL, JSON document queries, or Redis CLI commands with syntax support, timing, and results in the same workspace.
- 04
Edit supported data safely
Change writable cell values in the result grid while read-only targets remain explicitly read-only.
- 05
Send evidence to the coding agent
Attach schema definitions, selected objects, or a query error to AI chat so the code fix uses exact database context.
28 database targets
Use the database engine the application actually runs.
Connect to transactional, document, key-value, analytical, and embedded databases without forcing them into one generic interface.
Supported database engines and wire protocols28 targets across SQL, JSON/BSON, Redis CLI, and file databases; Microsoft SQL Server, ClickHouse, and DuckDB are also supported
PostgreSQLPostgreSQLTimescaleDBPostgreSQLSupabasePostgreSQLNeonPostgreSQLAlloyDBPostgreSQLCockroachDBPostgreSQLYugabyteDBPostgreSQLAmazon RedshiftPostgreSQLGreenplumPostgreSQLMySQLMySQLMariaDBMySQLTiDBMySQLSingleStoreMySQLPlanetScaleMySQLOceanBaseMySQLStarRocksMySQLApache DorisMySQLMongoDBMongoDBFerretDBMongoDBAmazon DocumentDBMongoDBRedisRedisValkeyRedisKeyDBRedisDragonflyRedisSQLiteEmbedded
Document and key-value
MongoDB and Redis-compatible systems with query input matched to the target.
Analytical and local
ClickHouse, DuckDB, and other supported targets for application and development data.
Product walkthrough
Watch Database Workspace handle several database types.
Official Flame demo
View, Edit & Query Multiple Databases in Flame IDE
See connections, schema browsing, SQL and non-SQL queries, result grids, and inline data editing without leaving the developer workspace.
Use the result
Move database evidence directly into the debugging loop.
Attach a schema, column definition, or query error to the current AI conversation. The agent can then inspect the repository and update the query, mapper, migration, or API handler using the exact failing context.
Continue with the microservices workflow when the data issue crosses service boundaries, or use AI browser debugging when the symptom appears in the UI.
FAQ
Database IDE questions
Keep the data and the code in the same investigation.
Download Flame to inspect databases, run queries, and give coding agents the context behind the failure.
Free to use on macOS, Windows, and Linux.