Parquet in DBConvert Streams
Parquet workflows are handled in DBConvert Streams 2.0. If your workflow starts or ends with Parquet files, Streams is the right DBConvert tool for the job.
Desktop app or self-hosted (Docker)
Parquet belongs in the file workflow, not in a classic DB-to-DB catalog
Parquet is a modern analytical file format. In practice you do not need a one-off "Parquet to database" wizard as much as you need one workspace that can read files, query them, validate structure, and move data between files and databases.
DBConvert Streams is built for exactly that: local files, object storage, federated SQL, quick transforms, and repeatable exports without pretending Parquet is just another classic desktop database engine.
Read Parquet directly
Inspect schemas and query Parquet files without importing them into a separate database first.
Move data both ways
Pull from MySQL or PostgreSQL into Parquet, or use Parquet as a source for downstream workflows.
Work with JSON and JSONL too
Keep file-oriented jobs in one place instead of juggling separate scripts per format.
Local or S3-style paths
Use the same workspace for local folders, object storage, exports, and validation passes.
Typical Parquet use cases
- Export relational tables to Parquet for analytics pipelines
- Inspect Parquet data before loading it elsewhere
- Join Parquet with live database sources in one SQL workspace
- Replace ad-hoc scripts with a repeatable file-to-db workflow
Use the right path for the job
Use classic DBConvert products when
- You are migrating between classic database engines
- You need an existing direction-specific DBConvert product
- The workflow is centered on DB-to-DB migration or sync
Use DBConvert Streams when
- Parquet is the source, destination, or intermediate format
- You need file + database workflows in the same workspace
- You want one tool for inspection, transforms, exports, and repeatable sync jobs
Ready to work with Parquet in DBConvert Streams?
Open Parquet files, query them directly, and move data between files and databases in one workflow.