IBM revealed that it has acquired the Israeli startup Databand.ai, a provider of data observability software that helps organizations fix issues with their data. The purchase price was not disclosed and the acquisition was sealed on June 27.
Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM’s growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data.
Founded in 2018 by CEO Josh Benamram, Victor Shafran, and CTO Evgeny Shulman, DDataband.ai calls itself a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai boaosts that its tech removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai’s proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access.
Will you offer us a hand? Every gift, regardless of size, fuels our future.
Your critical contribution enables us to maintain our independence from shareholders or wealthy owners, allowing us to keep up reporting without bias. It means we can continue to make Jewish Business News available to everyone.
You can support us for as little as $1 via PayPal at email@example.com.
Databand.ai serves organizations throughout the globe, including some of the world’s largest companies in entertainment, technology, and communications.
IBM said that the acquisition of Databand.ai builds on its research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM declares that it is well-positioned to address the full spectrum of observability across IT operations.
“Data observability takes traditional data operations to the next level by using 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,” said IBM. “When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems.”
“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 in any given moment, their business can grind to a halt,” said Daniel Hernandez, General Manager for Data and AI, IBM. “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 trustworthy data and AI at scale.”