IBM’s data integration tools are a core piece of IBM’s Data Fabric, providing customers with a secure data foundation to accelerate and scale AI implementations.

Forward-thinking businesses see the value that multi-cloud adoption offers. The only question is: How do you ensure effective ways of breaking down data silos and bringing data together for self-service access? This is especially integral in today’s AI-driven market, where businesses are continuously feeding and training their ML models on large data foundations. To confidently fuel AI initiatives, businesses must first turn towards their data integration capabilities.

The optimal approach is through a tightly integrated data fabric architecture. At the core of a data fabric lies high-performance data integration—fusing together data to build governed and reliable data pipelines. Whether it be batch (ETL or ELT), virtualization, replication, data preparation, real-time or event driven, you need flexible and augmented data pipelines to ultimately create and deliver data processes across your organization.

Today, we are excited to share IBM was named a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools. IBM is dedicated to providing our customers performant data integration solutions as a cornerstone to their wider data fabric; and though the data landscape is constantly shifting and technologies are evolving, IBM has been recognized as a Leader in the report for the past 18 years.

IBM supports the entire lifecycle of data integration, with data integration capabilities that help organizations with critical use cases such as:

  • Implementing a data fabric as the trusted data foundation to infuse and scale AI implementations
  • Support for multiple integration patterns including replication, virtualization, batch and bulk, ELT with SQL pushdown remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution
  • Multi-directional data movement topology with high volume and low-latency integration
  • Building, managing and securing APIs, as well as creating event-driven flows with hundreds of applications and systems
  • Observability and lineage to identify breakage and establish SLA performance for pipelines

Unlock Insights with IBM’s data integration tools

Let’s dive deeper into IBM’s suite of data integration tools and how we help empower organizations to unlock insights from data wherever it resides with security, governance and performance built within.

Our data integration solutions are purpose-built to grow with our customers. As your data volumes spread across locations, you can maintain seamless integration by executing pipelines on-premises, in any cloud, any geography or within your own environment.

IBM DataStage allows for batch-style flexible data integration for all types of data on-premises and in the cloud, and the latest release allows you to leverage the unique capabilities of DataStage while retaining complete control over their data security and privacy behind secure firewalls. In addition to ETL and ELT, as well as virtualization, when deployed alongside tools like IBM Knowledge Catalog, IBM Data Virtualization and IBM Data Replication companies can achieve near real-time data syncs using easy to find shared data, that is secure and can be queried without moving or replicating. With the acquisition of Databand last year, customers can additionally infuse data observability into their pipelines, enabling automatic detection of anomalies based on historical execution patterns. All of these tools are readily accessible on IBM Cloud Pak for Data, and are core to the platform’s data fabric architecture.

Modernize your legacy solutions

For customers looking to modernize and migrate legacy data integration tools to the cloud, IBM offers rich comprehensive tools that help customers understand their data landscape and how to migrate. Extensive documentation of our in-built migration utility is available at no extra cost to ensure a smooth migration; customers can continue accessing extensive, customizable training and on-demand support as they grow with IBM. Modernization workshops, accelerators and customer success teams are also in place to assist customers with evaluating and optimally re-designing their data architecture.

A core piece of IBM’s Data Fabric

Whether you are preparing your organization for AI or addressing common data challenges, you can design a data architecture that empowers your teams and works across your environments. However, making this data secure, accessible and trusted to relevant data users is a challenge. A data fabric is an architectural approach to help solve these pain points, simplifying data access and facilitating self-service data consumption for your organization’s unique workflows. In addition to data integration capabilities, IBM Data Fabric capabilities include data governance, data observability, master data management and automated data lineage—all of which can be implemented without ripping and replacing your current tech stack. Whether it’s to simplify the day-to-day for your data producers, or to provide business users self-service access to data, a data fabric prepares and delivers the data needed for insights and better decision-making.

The path forward with IBM Data Integration and Data Fabric

With the recent acquisition of Manta, IBM is now poised to continue helping businesses worldwide unlock powerful new use cases for customers and solve data quality challenges throughout the data and AI lifecycle. Furthermore, we will continue to grow and optimize our data integration capabilities for the needs of the market. Whether it’s supporting diverse data architectures across hybrid cloud environments, ensuring high quality and accessible data that is primed for AI and ML models, or adapting to emerging technologies the market has yet to see, our data integration strategy remains clear at IBM—provide clients with the appropriate integration style executing where the data resides.

We’re excited to be named a Leader in The 2023 Gartner® Magic Quadrant™ for Data Integration Tools. Read the report for more information on our positioning and if you want to jump in and try some of our data integration capabilities, access the free trial today.

Download the free report

GARTNER is a registered trademark and service mark and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Gartner Reports: Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Robert Thanaraj, and 4 more, 4 December 2023.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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