

REAL-TIME ETL & CDC
Move your data from IBM Db2 Batch with your free account
Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 200+ Connectors
- 2-5x less than batch ELT
01. Move from IBM Db2 Batch02. Transform in-flight03. Select a destination


This connector captures data from IBM Db2 by periodically running SQL queries and converting results into JSON documents. It supports full-refresh, cursor-based incremental, and custom-query modes for flexible data ingestion into Flow collections.
- Supports Db2 for LUW (Linux, UNIX, Windows); other Db2 variants may work but are untested.
- Allows full-refresh or cursor-incremental capture using timestamps or auto-increment IDs.
- Polling is configurable using interval strings like 5m or scheduled times like daily at 12:34Z.
- Tables without primary keys use /_meta/row_id, enabling automatic deletion detection during full refreshes.
Tip: Use a cursor column whenever possible — it dramatically reduces data volume, avoids full table scans, and ensures efficient incremental captures.
How to connect IBM Db2 Batch to your destination in 3 easy steps
1
Connect IBM Db2 Batch as your data source
Securely connect IBM Db2 Batch and choose the objects, tables, or collections you need to sync.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
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HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from IBM Db2 Batch in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your IBM Db2 Batch insights always reflect the latest data by connecting your databases to IBM Db2 Batch with change data capture.
- Or connect critical SaaS apps to IBM Db2 Batch with real-time data pipelines.
See how you can integrate IBM Db2 Batch with any destination:
or choose from these popular data sources:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more


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