What Is DBConvert Streams?
A unified database IDE and streaming platform for migration, CDC, and cross-source SQL.
What It Does
DBConvert Streams combines database exploration, migration, replication, and multi-source SQL in one operator-focused workflow.
Free Database IDE
Browse schemas, inspect data, run SQL, edit rows, and generate ER diagrams without starting a stream.
Convert Migrations
Run one-time snapshot migrations with schema-aware transfer workflows for database, file, and storage targets.
Log-Based CDC
Capture ongoing row-level changes from MySQL binlog and PostgreSQL logical replication without adding Kafka to the stack.
Federated SQL
Query across databases, files, and S3 in one SQL statement — then use the same query as a stream source. No export step. No tool switch.
File and Storage Pipelines
Import from and export to CSV, JSONL, Parquet, and S3-compatible storage in snapshot migrations and supported CDC flows.
Monitoring and Validation
Use run history, logs, compare views, and live monitoring to validate behavior before and after cutover.
Go Deeper by Workflow
The overview above defines the product. These links take you to the pages that explain each workflow in more detail.
CDC Replication
Setup guidance, supported patterns, and rollout details for continuous replication jobs.
Data Migration
Snapshot migration details, schema conversion scope, and validation steps before cutover.
Data Explorer
Workspace walkthrough for schema inspection, row browsing, SQL, and data checks.
Cross-Database SQL
Federated query examples across databases, files, and S3 — with tested SQL you can copy and run.
Current Public Workflow Coverage
Primary public workflows on this site focus on MySQL, PostgreSQL, local files, and S3-compatible storage.
Need a deeper breakdown? Use the capability pages for CDC, migration, explorer, and file/S3 workflows.
Common Jobs It Handles Well
MySQL and PostgreSQL replication
Start with a snapshot, then keep the target current with log-based CDC across supported MySQL and PostgreSQL workflows.
Explore, edit, and compare before cutover
Inspect schemas, query live data, compare what landed, and validate the target before switching production traffic.
Database migration with schema conversion
Handle heterogeneous migration and verify source and target structure before cutover.
Query multiple databases with one SQL workflow
Validate and analyze data across database and file-backed sources from one workspace.
Who It's For and Not For
Good Fit
- Developers, DBAs, and small teams working mainly with MySQL and PostgreSQL
- Teams that want one self-hosted product for exploration, migration, and CDC
- Operators who need database-to-database, file, or S3-compatible workflows without managing Kafka
- Migration projects that benefit from schema conversion, compare views, and run history
- Teams that want a free IDE first, then pay only when they run migration or CDC jobs
Probably Not the Right Fit
- Teams that need hundreds of SaaS or application connectors
- Teams that need Oracle or SQL Server replication today should use the existing DBConvert product pages for Oracle or SQL Server.
- Complex ETL programs that depend on deep transformation orchestration inside the pipeline tool
- Buyers who only want a fully managed SaaS integration platform and do not want to self-host
Choose the workflow, then decide how you want to try it
This overview defines product fit. The workflow pages above are where the operational detail lives for CDC, migration, explorer work, and cross-database SQL.
Install DBConvert Streams if you want hands-on product context first, or use pricing when you are sizing paid migration and CDC runs.
CDC replication
Use this when the main job is log-based MySQL or PostgreSQL replication and cutover planning.
Data migration
Use this when the main job is snapshot migration, schema conversion, and target validation.
Data Explorer
Use this when you need to inspect, edit, compare, and validate data before changing production workflows.
Cross-Database SQL
Use this when the main job is querying multiple databases, files, or S3-backed data in one SQL workflow.