IBM thinkMagazine – IBM acquires Databand.ai and targets new market opportunities for data observability

IBM has acquired Databand.ai, a leading provider of data observability software. Databand.ai supports companies in identifying critical problems in the data contained in IT systems, such as errors, pipeline breaks and poor quality, before they cause problems or damage to decision-making and control processes. The acquisition of Databand.ai further strengthens IBM’s software portfolio in data management, artificial intelligence and automation, completing the data observability package and helping companies ensure that reliable data is delivered to the right team at the right time.

Databand.ai is IBM’s fifth acquisition of 2022, and since the appointment of Arvind Krishna as CEO in April 2020, it has acquired more than 25 new companies, continuing to strengthen its skills and capabilities in hybrid cloud and AI .

The volume of data continues to grow at an unprecedented rate as organizations increasingly struggle to manage the quality of their data sets, which are essential for making strategic decisions and gaining competitive advantage. Data observability represents a rapidly growing market opportunity and is fast emerging as a key tool to help Data Engineers better understand the “health” of data contained in systems and automatically detect and resolve anomalies, data changes or outages. pipelines in near real time. According to Gartner, poor data quality costs companies an average of $12.9 million each year. The data observability market is destined for strong growth precisely because of its contribution to addressing this challenge.1

Observability allows you to optimize data operations throughout their lifecycle using historical statistical information related to data pipelines and related workloads. In this way, it is possible to determine the correct operation of pipelines starting at the source sources and identify any problems along the data line, allowing IT teams to quickly resolve problems related to infrastructure, data usage and engineering systems learning.

Databand.ai’s open and extensible approach allows data engineers to easily integrate and implement observability into their data infrastructure. This will allow Databand.ai to expand its observability capabilities and achieve integrations with a greater number of open source and enterprise solutions that power modern data architectures. Companies adopting the Databand.ai platform will have different deployment options, both as an as-a-Service (SaaS) and traditional on-prem or hybrid cloud.

The acquisition of Databand.ai is part of IBM’s investments in research and development and strategic acquisitions in the field of artificial intelligence and automation. Using Databand.ai in conjunction with IBM Observability from Instana APM and IBM Watson Studio, IBM enables you to cover the full spectrum of observability in IT operations.

For example, Databand.ai’s capabilities can alert teams when the data they use to power an analytics system is incomplete or missing. In the most common cases where data comes from a business application, Instana can help users quickly explain where the missing data is coming from and why an application service isn’t working. Together, Databand.ai and IBM Instana offer a more comprehensive and explainable view of the entire application infrastructure and data platform system that can help organizations prevent lost revenue and reputation.

“Our customers are data-driven businesses that need reliable, quality data to power their mission-critical processes. If they can’t access the data they need at all times, their business can shut down”has stated Daniel Hernandez, General Manager of Data and AI IBM. “With the addition of Databand.ai, IBM offers the most complete set of observability capabilities for IT across all applications, data and machine learning capabilities, while continuing to provide customers and partners with the technology they own. They need to run reliable data and AI at scale”.

Data observability solutions are also a key part of an organization’s broader data architecture and strategy. The acquisition of Databand.ai further extends IBM’s existing data fabric solution, helping to ensure that the most accurate and reliable data is in the right hands at the right time, no matter where it is.

“You can’t protect what you can’t see, and when the data platform is inefficient, everyone suffers, including customers”has stated Josh Benamram, co-founder and CEO of Databand.ai. That’s why world-renowned brands like FanDuel, Agoda and Trax Retail already rely on Databand.ai to eliminate data uncertainty, identify and resolve critical issues 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 customers.”

Based in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, enriching IBM’s growing portfolio of data and AI products, including capabilities from IBM Watson and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition was completed on June 27, 2022.

More information about Databand.ai, how this acquisition enhances IBM’s data web solution and how it integrates with the full observability software stack can be found on this blog and at www.ibm.com/analytics/data- fabric.

July 14, 2022

Paola Piacentini
Paola PiacentiniIBM Artificial Intelligence and CSR Communications Leader
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