The beta of IBM Data Replication on Cloud — the next-gen replication beta that is delivered as a service on the IBM Cloud platform — is landing in Q3 2021.

In case you’ve missed out on IBM’s plans for replication on cloud, the beta of IBM Data Replication on Cloud (with planned 2022 GA) is intended to address on-premises-to-cloud and cloud-to-cloud real-time, low-impact replication use cases — the types that are increasingly being seen in customer conversations for enriching big data systems and mobile applications.

Until now, enterprises have had to install, maintain and update the resources on the IT infrastructure needed to manage their data replication workloads, either on-premises or on the cloud.Moreover, pricing was based on the size of the sources, targets or both. So, organizations only replicating a subset of the data within a source (say 2 out of 400 tables), would still end up paying for the overall size of the source. Next-gen replication is set to change that.

Benefits of a fully managed data replication service on the cloud

IBM’s vision for data replication on cloud is to provide a fully managed cloud service, helping customers to focus on their business by eliminating the need to build and maintain infrastructure. Customers could scale their service up or down to support their changing business needs, reduce operational costs due to in-place upgrades and take advantage of pricing that is based on the volume of data being transferred. To illustrate this point, the new service, on average, could save 10% – 30% of licensing costs for many customers, compared to existing license models.

IBM Data Replication on Cloud will rapidly evolve to support captures from Oracle (on-premises); Db2® for z/OS®; Db2 for Linux, UNIX and Windows; Oracle RDS on Amazon; Db2 on IBM Cloud; and targets like Snowflake and Redshift on Amazon and the Azure SQL Data Warehouse. Simply put, it will be a one-stop-shop for an “any” to “any” real-time data replication solution.

Register today for the beta of IBM Data Replication on Cloud

What sources and targets will the beta support?

Initially, IBM Data Replication on Cloud will be looking to deliver the following:


  • PostgreSQL (Amazon RDS)
  • Db2 on IBM Cloud
  • PostgreSQL on IBM Cloud


  • Db2 Warehouse on IBM Cloud, AWS and Azure
  • Kafka on IBM Cloud, AWS and Azure

What are the benefits of participating in the beta program?

The beta of IBM Data Replication on Cloud is intended to provide a first look at what’s coming and give participants the chance to shape the future of IBM data replication via their feedback, ideas and domain expertise. Ideally, we are looking for customers with on-premises-to-public cloud or cloud-to-cloud data replication needs who can spare a minimum of one hour to collaborate with us.

Depending on where we are in the product development cycle, collaboration can vary from a discussion and review of a demo with core members of our product team to the start of test driving the software in Q3 2021 and answering a survey on the user experience.

Why replication?

Data replication is a capability that provides trusted data integration and synchronization across organizations. It supports high volumes of data transfer with very low latency and does so with minimal impact by capturing data from database logs and only transferring and applying necessary data.

IBM Data Replication on Cloud is intended to provide an easy to use and fully managed cloud native service. Compared to existing on-premises data replication technologies, it delivers similar core capabilities — such as providing low-impact log-based captures — as well as real-time replication capabilities.

But IBM Data Replication on Cloud also goes beyond existing data replication technologies. Planned new capabilities include integration with IBM Watson® Studio and IBM Watson Knowledge Catalog, a simplified user interface and support for heterogeneous DDL replication.

How do I sign up?

So what are you waiting for? As word has gotten out about the beta, we already have customers raising their hand to participate. Avoid the FOMO and sign up for the beta program now to help shape the next generation of IBM data replication. Sign up at the registration link below. 

Register today for the beta of IBM Data Replication on Cloud

For more information, contact Eric Su at


More from Analytics

Data science vs data analytics: Unpacking the differences

5 min read - Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to…

Financial planning & budgeting: Navigating the Budgeting Paradox

5 min read - Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” Ideally, a budget should give the most accurate and timely idea of anticipated revenues and expenses. However, the traditional budgeting process, in its pursuit of precision and consensus, can take several months. By the time the budget is finalized and approved, it might already be outdated.In today's rapid pace of change and unpredictability, the conventional budgeting process is coming under scrutiny.It's…

How Macmillan Publishers authored success using IBM Cognos Analytics

5 min read - Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. If you're a reader, chances are good you've read a book from Macmillan. They published many perennial favorites including Kristin Hannah’s The Nightingale, Bill Martin’s Brown Bear, Brown Bear, what do you see? and some of the more recent bestsellers such as The Silent Patient by Alex Michaelides, Identity by Nora Roberts and Razorblade Tears by S. A. Cosby. It’s no wonder then that Macmillan…

MLOps and the evolution of data science

7 min read - The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. The information can deepen our understanding of how our world works—and help create better and “smarter” products. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven…