Sold by: IBM Software
Deployed on AWS
Use Data Replication to integrate and synchronize data. Data Replication provides near-real-time data delivery with low impact to sources.
4.2
Overview
IBM Data Replication is a data integration solution that enables real time data synchronization. It ensures low-impact, low-latency replication across on-premises, cloud, and hybrid cloud environments. Reduce data egress costs and network traffic by only sending data changes instead of a full snapshot. Help organizations modernize infrastructure without disrupting existing systems.
IBM Data Replication is the data integration tool of choice for customers across industries. -Easy-to-use web-based user interface, with REST API support to extend productivity and deployment flexibility.
-Replicate DDL changes on source to ensure uninterrupted replication.
-Feed real-time data into data warehouses for analytics, stream processing platform(s), or ETL.
-Sync data for business continuity by assuring high data availability.
-Support for Kafka transactional semantics and no message duplicates.
-Security built-in from group up - no security data persistently stored in product.
Highlights
- React to data changes in real time: Delivers substantial data volumes to your data warehouses on AWS, Kafka, or ETL with low impact change data capture and low latency data distribution.
- Low impact on source systems: Uses log-based scraping for data changes which minimizes performance impact on production databases.
- Delivers continuous operations: Optimizes data synchronization for high availability and distribution.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
IBM Data Replication for Cloud Pak for Data on AWS - VPC (12 months) | You must purchase sufficient VPCs based on the data source used for replication. Please consult with your IBM Rep to determine the required VPCs before submitting your purchase order. | $31,450.00 |
Dimensions summary
This listing offers one pricing dimension: a 12-month contract billed by VPC units. You buy the number of VPCs based on the data source you replicate. Pricing scales with how many VPC units you purchase, so larger replication setups require more units. There are no separate tiers or instance sizes to choose from. Because the required VPC count depends on your specific data source, you consult your IBM representative to confirm the quantity before submitting your purchase order.
Top-of-mind questions for buyers
A VPC unit maps to the virtual private cloud used for your replication setup. The number you need depends on the data source you replicate. Because this varies, you confirm the exact count with your IBM representative before submitting your purchase order.
It integrates and synchronizes data across systems in near real time with low impact to sources. You can move data for analytics or event processing, and keep data stores synchronized to support continuous operations during planned and unplanned outages.
Cost scales with the number of VPC units you buy. Adding data sources may require more VPCs, which raises the total. There are no tiers or instance sizes. Confirm the added VPC count with your IBM representative before ordering, since the requirement depends on the source.
www.ibm.com
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Delivery details
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Support
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Customer reviews
Aleksander M.
Unified Data Integration and Governance for Analytics and AI on OpenShift
Reviewed on Jul 10, 2026
Review provided by G2
What do you like best about the product?
The most helpful aspect is the ability to connect different data sources, prepare and govern data, and then use it for analytics or AI workloads within a consistent environment. Its integration with Red Hat OpenShift is also valuable because it provides flexibility for hybrid cloud deployments and allows organizations to run the platform in their own infrastructure.
What do you dislike about the product?
The main drawback is the complexity of deploying and maintaining the platform, particularly in self-managed environments. Installation, upgrades, capacity planning, and troubleshooting can require significant OpenShift and infrastructure expertise, which may make adoption difficult for smaller teams.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data helps solve the problem of fragmented data and AI environments by bringing data integration, governance, analytics, and AI development into a single platform. It allows teams to connect data from different sources, prepare and catalog it, apply access controls, and make it available for analytics and machine learning workloads.
Amr a.
Comprehensive solution for data-intensive workflows
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
IBM Cloud Pak for Data provides a comprehensive solution for data-intensive workflows. It allows my team to manage almost all aspects of the data workflow, including connecting data sources and tools, because it brings together access, governance, cataloging, analytics, and AI services in one environment.
The platform supports data virtualization, allowing teams to work across distributed sources without creating unnecessary copies, while providing greater control over ETL processes and seamless integration with Watson Knowledge Catalog. The Auto-Discovery feature and automated metadata tagging workflows are massive time-savers, especially when mapping data lineage and automatically applying governance policies.
The platform supports data virtualization, allowing teams to work across distributed sources without creating unnecessary copies, while providing greater control over ETL processes and seamless integration with Watson Knowledge Catalog. The Auto-Discovery feature and automated metadata tagging workflows are massive time-savers, especially when mapping data lineage and automatically applying governance policies.
What do you dislike about the product?
IBM Cloud Pak for Data can make service selection and implementation feel a bit challenging and more time-consuming than expected for smaller teams or companies without dedicated data platform expertise, especially when it comes to service deployment, management, and troubleshooting.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data solves the problem of fragmented data across on-premises and Azure cloud environments, particularly when team members need trusted access but would otherwise have to wait for IT teams to properly manage privacy and access permissions. It helps analysts find certified data faster and gives data science teams a cleaner path from data preparation to model deployment and monitoring.
It enables faster access to distributed data across various environments and improves our ETL efficiency through data virtualization.
The access controls and dynamic data masking features help our data analytics team reduce data compliance risks to near zero, as sensitive information is automatically masked based on user roles and predefined criteria.
It enables faster access to distributed data across various environments and improves our ETL efficiency through data virtualization.
The access controls and dynamic data masking features help our data analytics team reduce data compliance risks to near zero, as sensitive information is automatically masked based on user roles and predefined criteria.
Yasser A.
From Data Silos to Actionable Insights: IBM Cloud Pak for Data Delivers
Reviewed on Jul 28, 2024
Review provided by G2
What do you like best about the product?
IBM Cloud Pak for Data has become an essential tool in driving our organization's digital transformation. The platform's comprehensive integrated approach to data management, governance, analytics, and AI has significantly streamlined our data operations and empowered us to make data-driven decisions with confidence.
What do you dislike about the product?
While the value proposition of IBM Cloud Pak for Data is undeniable, the initial setup and configuration can be complex and time-consuming, requiring dedicated resources and expertise.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data has been instrumental in streamlining our data operations. Its unified platform for integration, governance, and AI-powered analytics has broken down silos, mitigated risk, and enhanced our ability to derive actionable insights for improved decision-making and competitive advantage.
Tamer S.
Data Unification Made Easy
Reviewed on Jul 02, 2024
Review provided by G2
What do you like best about the product?
Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with precision.
What do you dislike about the product?
While IBM CP4D offers powerful integration and AI-driven insights, the initial setup complexity can be daunting, requiring substantial IT expertise. Also, updates occasionally disrupt ongoing workflows, necessitating careful planning and testing to mitigate impacts.
What problems is the product solving and how is that benefiting you?
Unifying our data has transformed our project management. It enhances collaboration across teams, boosts productivity, and accelerates decision-making, crucial in our dynamic construction projects.
SAUMYARANJAN M.
Excellent
Reviewed on Dec 12, 2023
Review provided by G2
What do you like best about the product?
It is having good customer support and no of features
What do you dislike about the product?
Ease of Integration and Frequency of use
What problems is the product solving and how is that benefiting you?
It makes easy and friendly to maintain enterprise grade private clouds for the virtual machines