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description=Run SQL, migrate data, and keep systems in sync — all in one tool. DBConvert Streams combines a free database IDE, log-based CDC, and schema-aware migration across MySQL, PostgreSQL, files, and S3.;

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explore query and replicate data all in one tool dbconvert streams dbconvert streams platform product overview cdc replication data migration data explorer cross database sql ai chat new mcp for ai clients er diagram tool observability data movement patterns rest api architecture install pricing resources what s new documentation compare alternatives blog video tutorials get started start here create first stream sign in sign up platform product overview cdc replication data migration data explorer cross database sql ai chat new mcp for ai clients er diagram tool observability data movement patterns rest api install pricing resources documentation compare alternatives what s new blog video tutorials start here create first stream sign in sign up new in 2 5 ask ai about the database in front of you explore query and replicate data run sql migrate data and keep systems in sync all in one tool free ide paid migration cdc desktop or docker get started one query multiple sources sql editor select from read_parquet orders parquet o join postgres public customers c on o customer_id c id limit 10 sql editor select from read_parquet orders parquet o join postgres public customers c on o customer_id c id limit 10 join a parquet file with a live postgresql table then use the same query as a stream source no export no rebuild no second tool dbconvert streams gives you one self hosted product for working with databases end to end a free ide for browsing schemas running sql across postgresql mysql files and s3 and editing data inline and a paid streaming engine for bulk migration with automatic schema conversion and log based cdc same install same ui same api the point is to remove the gap between i need to look at this data and i need to move this data you explore validate and configure in the ide for free and only pay when you actually run a migration or replication job what you can do in one workflow explore data run migrations and keep target systems in sync explore explore and validate browse databases local files and s3 in one tree run sql for deeper validation and ad hoc checks filter and edit rows with server side pagination er diagrams and schema comparison explore data explorer move run migration with schema conversion migrate between database types with automatic mapping use resumable load for eligible large table transfers pull from databases files or s3 write to databases or files track progress table by table explore migration keep in sync keep systems in sync with cdc capture committed insert update and delete changes use initial load cdc for empty target cutovers resume from durable mysql postgresql cdc checkpoints validate reliability state logs and history explore cdc replication now with ai your ai assistant works in the same workspace ai assistant you is my parquet export of orders still in sync with the live postgres table ai joined both in one cross source query matched on order_id both hold 5 000 rows 0 missing on either side the snapshot is still current ai assistant you is my parquet export of orders still in sync with the live postgres table ai joined both in one cross source query matched on order_id both hold 5 000 rows 0 missing on either side the snapshot is still current ai chat works inside dbconvert streams mcp connects claude cursor copilot and other ai clients both inspect your live workspace through dbconvert s read only tools explore ai chat connect an mcp client why teams replace multi tool stacks first class file and object storage support files and object storage are first class query sources not external imports cross source sql for faster validation cross source sql makes validation and data prep faster than switching between tools no context switching across tools use one interface for sql exploration migration execution cdc status and run history connect databases files and object storage use databases as sources and targets treat files and s3 as queryable datasets mysql postgresql amazon rds google cloud sql azure database s3 aws minio etc csv jsonl parquet snowflake coming soon more connectors added regularly run anywhere your laptop a vps or your own server no cloud dependency no vendor lock in desktop apps native installers for windows macos and linux windows macos linux docker self host on any machine local server vps or cloud vm curl fssl https dbconvert nyc3 digitaloceanspaces com downloads streams latest docker install sh sh cloud images 1 click images for aws azure gcp digitalocean hetzner and vultr install options pricing faq common questions what is dbconvert streams a self hosted product that combines a free sql ide for postgresql mysql files and s3 with a paid streaming engine for one time migration and ongoing cdc replication one install handles exploration validation migration and replication is there a free tier yes the ide connections schema browsing sql console cross database queries er diagrams file and s3 access inline editing is free with no subscription paid is only the streaming engine starting pausing and stopping migration or cdc runs where does it run self hosted desktop on macos windows or linux or docker on a server there is no saas tier you control the deployment the data and the network boundary which databases and storage are supported postgresql and mysql as both source and target including managed services like aws rds azure database gcp cloud sql supabase neon and digitalocean file targets include csv json jsonl and parquet s3 compatible storage includes aws s3 minio digitalocean spaces backblaze b2 and wasabi snowflake as a target is in progress can ai assistants like claude or cursor work with my data yes through the built in mcp server your assistant reads live schemas runs read only sql and checks stream state directly from your workspace only select statements pass the server side filter the mcp server runs on your infrastructure and never sends data to an ai provider on its own data requested by your ai client may be sent to that client s model provider how it works how is it different from debezium airbyte or fivetran debezium provides log based cdc but expects kafka and orchestration around it airbyte and fivetran are saas style elt platforms focused on connector breadth not on operational database to database use dbconvert streams is self hosted focused on postgresql and mysql workflows and bundles exploration migration and cdc into one workspace no kafka no external orchestrator see full comparisons start exploring querying and replicating the ide is free streams run on a pay as you go plan get started view pricing company community what s new blog about company contact github reddit legal privacy policy terms of service cookie policy eula gdpr dbconvert family main website studio dbsync customers stay updated subscribe to get the latest updates about dbconvert products and services subscribe 2026 dbconvert streams all rights reserved