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TECHNOLOGIES & PRODUCTS

IBM acquisition of Databand.ai aims to help

enterprises catch "bad data" at the source

erations to the next level by using historical trends to
compute statistics about data workloads and data pipe-
lines directly at the source, determining if they are
working, and pinpointing where any problems may ex-
ist. When combined with a full stack observability strat-
egy, it can help IT teams quickly surface and resolve
issues from infrastructure and applications to data and
machine learning systems.

Databand.ai's open and extendable approach allows
data engineering teams to easily integrate and gain
IBM has acquired Databand.ai, a leading provider
of data observability software that helps observability into their data infrastructure. The merger
organizations fix issues with their data, including with IBM will unlock more resources for Databand.ai to
errors, pipeline failures and poor quality, before expand its observability capabilities for broader integra-
it impacts their bottom-line. Databand.ai is IBM's tions across more of the open source and commercial
fifth acquisition in 2022 as the company solutions that power the modern data stack.
continues to bolster its hybrid cloud and AI skills The acquisition of Databand.ai builds on IBM's research
and capabilities. Since Arvind Krishna became and development investments as well as strategic ac-
CEO in April 2020, IBM has acquired more than quisitions in AI and automation. By using Databand.ai
25 companies. with IBM Observability by Instana APM and IBM Wat-
son Studio, IBM is well-positioned to address the full
With this latest acquisition, IBM's software portfolio will spectrum of observability across IT operations. Togeth-
be further strengthened across data, AI and automation er, Databand.ai and IBM Instana provide a more com-
to address the full spectrum of observability. This will plete and explainable view of the entire application in-
help businesses ensure that trustworthy data is being frastructure and data platform system, which can help
put into the right hands of the right users at the right organizations prevent lost revenue and reputation.
time.
"Our clients are data-driven enterprises who rely on
As the volume of data continues to grow at an unprece- high-quality, trustworthy data to power their mission-
dented pace, organizations are struggling to manage critical processes. When they don't have access to the
the health and quality of their data sets necessary to data they need in any given moment, their business
make better business decisions and gain competitive can grind to a halt," said Daniel Hernandez, General
advantages.
Manager for Data and AI, IBM. "With the addition of
Databand.ai, IBM offers the most comprehensive set of
Data observability is quickly emerging as a key solution
for helping data teams and engineers better understand observability capabilities for IT across applications, data
the health of data in their system and automatically and machine learning, and is continuing to provide our
identify, troubleshoot and resolve issues, like anoma- clients and partners with the technology they need to
lies, breaking data changes or pipeline failures, in near deliver trustworthy data and AI at scale."
real-time.
Enterprises will have full flexibility in how to run Data-
According to Gartner, poor data quality costs organiza- band.ai, whether as-a-Service (SaaS) or a self-hosted
tions an average $12.9 million every year. To help miti- software subscription. (Source: IBM) ◊
gate this challenge, the data observability market is By MediaBUZZ
poised for strong growth as it takes traditional data op-

July 2022: Search Marketing 33