IBM announced the acquisition of Databand.ai, a provider of data observability software that assists organizations in resolving data issues such as errors, pipeline failures, and poor quality before they impact their bottom line.

Organizations are struggling to manage the health and quality of their data sets, which is required to make better business decisions and gain a competitive advantage as the volume of data continues to grow at an unprecedented rate. Data observability, a rapidly growing market opportunity, is quickly emerging as a key solution for assisting data teams and engineers in better understanding the health of data in their system and automatically identifying, troubleshooting, and resolving issues such as anomalies, breaking data changes, or pipeline failures in near real-time.

This acquisition enhances IBM’s software portfolio across data, AI, and automation to address the full spectrum of observability and aids organizations in ensuring that reliable data is placed in the hands of the appropriate users at the appropriate time.

Databand.ai is IBM’s fifth acquisition in 2022 as the company expands its hybrid cloud and AI capabilities.

Josh Benamram, Co-Founder and CEO of Databand.ai, stated, “You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted –including customers. That’s why global brands such as FanDuel, Agoda, and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients.”

The open and extendable approach of Databand.ai enables data engineering teams to integrate and gain observability into their data infrastructure easily. This acquisition will provide Databand.ai with additional resources to expand its observability capabilities for broader integrations across more open-source and commercial solutions that power the modern data stack. Enterprises will also have complete control over how Databand.ai is deployed, whether as a SaaS or a self-hosted software subscription.

IBM’s acquisition of Databand.ai expands on the company’s R&D investments and strategic acquisitions in AI and automation. IBM is well-positioned to address the full spectrum of observability across IT operations by combining Databand.ai with IBM Observability by Instana APM and IBM Watson Studio.

Data observability solutions are also essential components of a company’s overall data strategy and architecture. The acquisition of Databand.ai expands IBM’s existing data fabric solution by assisting in the delivery of the most accurate and trustworthy data to the right hands at the right time – regardless of where it resides.

Daniel Hernandez, General Manager for Data and AI at IBM, commented, “Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don’t have access to the data they need at any given moment, their business can grind to a halt. With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data, and machine learning and is continuing to provide our clients and partners with the technology they need to deliver reliable data and AI at scale.”