IBM Targets Market Opportunity for Data Observability with Databand.ai Acquisition

IBM has acquired Databand.ai, a Tel Aviv-based provider of data observability software designed to help organizations address issues with their data, including errors, pipeline failures and poor quality.

Data observability uses historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. This acquisition is expected to unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. The software can be run either as-a-Service or as a self-hosted software subscription. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM expects to more effectively address the full spectrum of observability across IT operations.

“Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes,” said Daniel Hernandez, General Manager for Data and AI, IBM. “When they don’t have access to the data they need in any given moment, their business can grind to a halt,”

“You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted –including customers,” said Josh Benamram, Co-Founder and CEO of Databand.ai. “Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients.”

Databand.ai is IBM’s fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020.

The acquisition closed on June 27, 2022. Financial details were not disclosed.

Channel Impact^®
The acquisition extends IBM’s position in observability to the full stack of capabilities for IT — across infrastructure, applications, data and machine learning, adding new opportunities for allied partners.