Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →DB2 ETL/ELT Data Pipeline
Automated Replication to popular Databases, Data Lakes, & Data Warehouses
- Straightforward automated data replication.
- Synchronize data with 100+ destinations.
- Easy-to-use ETL/ELT data movement.
Download Now Start the Product Tour
DB2 is one of more than 200 data sources included in CData Sync [learn more].
![DB2 Logo](/ui/img/excel-logo-db2.png)
![Replicate IBM DB2 Sync](/sync/sync.png)
![DB2 Logo](/ui/img/excel-logo-db2.png)
CData Sync provides a straightforward way to continuously pipeline your IBM DB2 data to any Database, Data Lake, or Data Warehouse, making it easily available to Analytics, Reporting, AI, and Machine Learning.
- Synchronize data with a wide range of traditional and emerging databases.
- Replicate IBM DB2 to RDBMS systems to facilitate operational reporting.
- Offload queries from operational systems to reduce load and increase performance.
- Connect IBM DB2 to analytics for BI and decision support.
- Archive data for disaster recovery.
Automated Continuous Data Replication
CData Sync provides users with a straightforward way to synchronize data from DB2 with a wide range of traditional and emerging databases including:
Amazon Redshift Amazon S3 Apache Cassandra Apache Kafka Azure Data Lake Azure Synapse Couchbase CSV Databricks Google AlloyDB Google BigQuery Google Cloud SQL Heroku / Salesforce Connect Microsoft Access Microsoft Azure Tables MongoDB MySQL Oracle Database PostgreSQL SAP HANA SingleStore Snowflake SQL Server SQLite Vertica![](/sync/img/i_replicate.png)
![DB2 Logo](/ui/img/excel-logo-db2.png)
Key Features
Replicate Any Data Source To Any Database With a Few Clicks
-
Simple Point-And-Click Replication
Configuring replication is easy: Login to the application, select the tables of data to replicate, and select a replication interval. Done.
-
Heterogeneous Support & Database Independence
Supports replication across a wide range of commonly used databases, ensuring offline replication without the need to setup and maintain a new or foreign DBMS. In addition, database connectivity is extensible, providing systems integrators with the ability to synchronize with entirely new data stores.
-
Automated Iterative Data Extraction
CData Sync extracts data iteratively, causing minimal impact on operational systems by only querying and updating data that has been added or changed since the last update.
-
Full or Partial Data Replication
Users have complete control to define which data should be replicated and how that data should be replicated to a database. CData Sync offers the utmost in flexibility across full and partial replication scenarios.
-
Secure Backup & Archiving
Protect your organization from the loss of valuable data. CData Sync ensures that your critical data is stored safely in the on-premise or cloud database of choice.
-
DBA-Friendly Setup
CData Sync is completely self-contained. As a result it does not require special administration or installation on target databases.
-
Flexible Mapping, Configuring, & Scheduling
CData Sync is incredibly simple, yet highly customizable. Almost every facet of the application can be customized to integrate with the user's ideal replication configuration.
-
Unix Cron-Style Scheduling
CData Sync includes flexible scheduling capabilities. Users can easily schedule replication tasks at customizable intervals.
-
Dynamic Schema Replication
Replicates schema changes dynamically, ensuring that data sources are in sync. CData Sync monitors changes in the connected datasource and the changes are automatically detected and updated within the local replicated database.
-
Advanced Logging & Transaction Monitoring
Transaction logging is available to enable closer monitoring of changes being made to replicated data and data accessed directly through CData Sync.
-
On-Premise Or In The Cloud
CData Sync is a go-anywhere application that is designed to perform equally well hosted on-premise (Windows, Unix / Linux, Mac OS) or in the Cloud (Azure, Amazon, Google).
Frequently Asked DB2 Data Integration Questions
Learn more about using CData Sync to replicate DB2
What is DB2 Data Integration?
How do I connect DB2 to Snowflake?
Connecting DB2 to Snowflake can involve various integration methods to transfer and synchronize data between the two systems. The most common process involves using an enterprise-class data integration tool like CData Sync to automatically and continuously replicate DB2 data to Snowflake. With CData Sync, users can quickly move DB2 to the cloud by deploying robust data pipelines that replicate DB2 data to Snowflake, or any other cloud database or data warehouse.
How do I move DB2 data to SQL Server?
Unlike replicating DB2 to a cloud data warehouse or data lake where data is commonly moved first and transformed at the destination via an ELT process, relational databases like SQL Server require ETL and in-flight data transformation. There are many ways to build ETL processes that integrate DB2 data with SQL Server. We recommend CData Sync, an easy-to-use data pipeline tool that helps users automatically and continuously replicate DB2 data to any database or data warehouse, including SQL Server.
Can I replicate DB2 to NoSQL databases?
Yes, CData Sync is an any-to-any data pipeline tool that supports data replication between DB2 and any database or data warehouse, including NoSQL databases. The transformation capabilities of CData Sync make it easy to structure data replication jobs that automatically and continuously replicate DB2 data to any supported NoSQL database.
Can I export DB2 to S3?
Amazon Simple Storage Service (Amazon S3) is an object storage service providing scalability, data availability, security, and high performance. CData Sync offers the ability to create jobs that will transfer DB2 data to Amazon S3 to support backup, enable cost efficiencies, enforce security, and meet compliance requirements. CData Sync will convert DB2 data automatically into popular flat-file formats like CSV, parquet, and Avro and push those files to Amazon S3 as objects.