Heroku PostgreSQL to Amazon Redshift integration
Replicate your Heroku PostgreSQL data into Amazon Redshift with Weld. Automatically replicate the tables you choose from Heroku PostgreSQL into Amazon Redshift, keeping your analytics layer up to date and ready for querying.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- heroku_postgres.Synced
- heroku_postgres.Syncing
- heroku_postgres.Synced
- heroku_postgres.Synced
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How to set up Heroku PostgreSQL to Amazon Redshift in Weld.
In the app, with the API or an agent.
Why replicate Heroku PostgreSQL to Amazon Redshift?
Ready for analysis.
Centralizing your Heroku PostgreSQL data in Amazon Redshift lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Heroku PostgreSQL data directly in Amazon Redshift using SQL or your preferred BI tool.
Consolidate data from Heroku PostgreSQL alongside other databases and applications in a single cloud data warehouse for a unified analytical layer.
Database replication for analytics
Replicate your Heroku PostgreSQL production data to Amazon Redshift without impacting database performance. Query historical data without load on your primary database.
Centralized data warehouse
Bring Heroku PostgreSQL data into Amazon Redshift alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Heroku PostgreSQL to Amazon Redshift. Connect BI tools like Looker, Metabase, or Power BI.
What data can you replicate?
From Heroku PostgreSQL to Amazon Redshift.
Weld syncs the objects the Heroku PostgreSQL connector exposes into Amazon Redshift, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries Amazon Redshift for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Heroku PostgreSQL context, finds the tables it needs and runs the query in Amazon Redshift.
Which Heroku PostgreSQL tables do we have in Amazon Redshift, and which is the largest?
Looking up what Weld has synced from Heroku PostgreSQL.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Heroku PostgreSQL API, loading only new and updated records to minimize data transfer and warehouse costs.
- Change data capture
- For Heroku PostgreSQL, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
- Schema handling
- Weld automatically manages schema changes. If Heroku PostgreSQL adds new fields, they're detected and added to the corresponding Amazon Redshift tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Heroku PostgreSQL setup guide
How to connect Heroku PostgreSQL to Weld, step by step.
DocumentationAmazon Redshift setup guide
How to connect Amazon Redshift to Weld, step by step.
ConnectorHeroku PostgreSQL connector
Everything Weld does with Heroku PostgreSQL.
ConnectorAmazon Redshift connector
Everything Weld does with Amazon Redshift.
Common questions.
About Heroku PostgreSQL to Amazon Redshift.
Start syncing Heroku PostgreSQL to Amazon Redshift.
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