Prompt
How do I move data from Postgres to Snowflake without custom scripts?
Latest observation
You can move data from Postgres to Snowflake without writing custom scripts by using an ELT/replication tool or Snowflake’s built-in loading options. The best choice depends on whether you need one-time batch loads or ongoing sync/CDC.
Common no-code / low-code options
1. ELT / data integration tools
These are the easiest if you want managed, repeatable replication from Postgres to Snowflake.
Popular options:
- Fivetran
- Airbyte (cloud or self-hosted)
- Matillion
- Informatica
- Stitch
- Talend
- Hevo Data
- Rivery
How it works:
- Connect Postgres as the source.
- Connect Snowflake as the destination.
- Choose tables to sync.
- The tool handles extraction, loading, schema mapping, and often incremental updates.
Best for:
- Continuous replication
- CDC (change data capture)
- Minimal maintenance
2. Snowflake’s native ingestion from files
If you can get Postgres data exported to files, Snowflake can load them directly.
Typical flow:
- Export Postgres data to CSV/JSON/Parquet.
- Put files in S3 / Azure Blob / Google Cloud Storage.
- Use Snowflake COPY INTO to load.
This is not “custom scripting” in the sense of building an app, but it does require a way to export Postgres data into files.
Best for:
- One-time or periodic batch loads
- Simple pipelines
3. Use a warehouse migration/replication service
Some tools are designed specifically for database migration and CDC.
Examples:
- AWS DMS to Snowflake via S3 staging
- Qlik Replicate
- Striim
- Oracle GoldenGate (if in an Oracle ecosystem)
Best for:
- Large-scale migrations
- Ongoing replication with low latency
Recommended approach by use case
If you want the simplest ongoing sync:
Use Fivetran or Airbyte
- Little setup
- Handles schema changes reasonably well
- Automates incremental loads
If you want a one-time migration:
Use:
- Snowflake bulk load
- Or export to cloud storage and
COPY INTO
If you need near-real-time CDC:
Use:
- AWS DMS
- Qlik Replicate
- Striim
- Fivetran with CDC support
Basic setup pattern
Regardless of tool, the setup usually looks like this:
-
Prepare Postgres
- Ensure network access
- Create a read-only user
- Enable logical replication if CDC is needed
-
Prepare Snowflake
- Create a warehouse, database, and schema
- Grant permissions to the tool
-
Connect source and destination
- Enter Postgres credentials
- Enter Snowflake account/auth details
-
Choose tables and sync mode
- Full refresh, incremental, or CDC
-
Monitor
- Check row counts, errors, and latency
If you want the least operational effort
My usual recommendation is:
- Fivetran if budget is available and you want managed simplicity
- Airbyte if you want flexibility and potentially lower cost
- AWS DMS if you’re already in AWS and need CDC/migration
If you tell me:
- whether this is one-time or ongoing
- your cloud provider (AWS/Azure/GCP/on-prem)
- data volume
- whether you need CDC
…I can recommend the best option and outline exact setup steps.