Introduction
DBConvert Streams combines data exploration, SQL workflows, and stream execution in one product.
It has two layers:
- Explorer / SQL — browse schemas, preview data, run queries, generate diagrams.
- Streams — run one-time Convert migrations or ongoing CDC replication.
Exploring data is always available. Running a stream is where trial limits and license entitlements apply.
Capability matrix
| Connector | Source | Target | Convert | CDC | Explorer | SQL |
|---|---|---|---|---|---|---|
| MySQL | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| PostgreSQL | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Snowflake (coming soon) | ||||||
| Local files | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| S3 storage | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| Federated queries | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
Connector notes
- MySQL CDC uses binlog-based replication.
- PostgreSQL CDC uses logical replication.
- Local files supports CSV, JSON, JSONL, and Parquet as sources. Target formats are CSV, JSONL, and Parquet.
- S3 storage covers S3-compatible APIs; does not imply parity with every object-store provider.
- Federated queries support multi-source SQL and query-driven Convert workflows only, not continuous CDC.
Data exploration and SQL
Browse and query any connected source without running a stream.
| Scenario | Example | Setup |
|---|---|---|
| Schema inspection | View tables, columns, keys, indexes | Data Explorer |
| Data preview | Browse rows in a read-only view | Tables and Views |
| SQL queries | Run queries against databases or files | SQL Console |
| Cross-source queries | Join data from multiple connections | Federated Queries |
| Structure diagrams | Generate visual schema diagrams | Table Structure |
One-time conversion
Migrate or copy data between databases or file formats in a single run.
| Scenario | Example | Setup |
|---|---|---|
| Database migration | MySQL to PostgreSQL | MySQL Convert, PostgreSQL Convert |
| Schema conversion | Map MySQL types to PostgreSQL | Schema Conversion |
| File to database | Load CSV/Parquet into MySQL or PostgreSQL | Local Files, Stream Config |
| Database to file | Export tables to CSV, JSONL, or Parquet | Local Files, S3 Storage |
| Custom query transfer | Migrate specific rows with a query | Custom Query |
See Convert Mode for how Convert works.
CDC replication
Keep targets in sync continuously by capturing changes from MySQL or PostgreSQL as they happen.
| Scenario | Example | Setup |
|---|---|---|
| Database to database | MySQL to PostgreSQL | MySQL CDC, PostgreSQL Target |
| Database to files | PostgreSQL changes to JSONL or Parquet | PostgreSQL CDC, Local Files |
| Database to S3 | Stream changes to S3-compatible storage | MySQL CDC, S3 Storage |
CDC sources are MySQL (binlog) and PostgreSQL (logical replication). Any supported target works as a destination. See What is CDC for background.
Cloud and managed databases
All the workflows above work with hosted databases. Use these guides for provider-specific connection setup.
| Provider | Guide |
|---|---|
| Amazon RDS | RDS Setup |
| AWS Aurora MySQL | Aurora MySQL |
| AWS Aurora PostgreSQL | Aurora PostgreSQL |
| Google Cloud SQL | Cloud SQL |
| Azure Database | Azure Setup |
| DigitalOcean | DO Database |
| Neon | Neon Setup |
Where to start
| Goal | Page |
|---|---|
| Install and run your first stream | Quick Start |
| Connect to a database or file source | Connection Management |
| Browse schemas and query data | Data Explorer |
| Configure and run streams | Stream Configuration Guide |
| Automate via REST API | API Reference |
| Navigate the dashboard | Dashboard and UI Guide |