Databricks, a big player in data and AI, just acquired Einblick, a platform focused on AI and data. Einblick helps data teams easily explore data, create predictive models, and use natural language to solve data issues.
Einblick’s noteworthy feature lies in its ability to translate everyday language queries into the technical components required for generating insights—such as code, charts, and models. Databricks is enthusiastic about this acquisition as it aligns with their overarching objective of enabling widespread access to data intelligence and facilitating the rapid and seamless development of high-quality data and AI applications.
“When we founded Einblick, our goal was to empower companies to do more with data, by creating the easiest and most collaborative data platform,” says Emanuel Zgraggen, CEO and co-founder of Einblick. “Today marks a significant milestone as we join forces with Databricks to further our mission. I am thrilled to embark on this new journey with a company whose mission is to simplify and democratise data and AI.”
Ali Ghodsi, Databricks CEO and co-founder said “We’re thrilled to welcome Emanuel, Philipp and the talented Einblick team to Databricks. Like us, they believe that organisations need to deeply leverage data and AI to be successful in this new age. We look forward to incorporating Einblick’s innovative, AI-native approach directly into the Databricks platform, enabling organisations to democratise data intelligence and create the next generation of data and AI applications with quality, speed and agility.”
Einblick was founded by researchers from Massachusetts Institute of Technology (MIT) and Brown University, whose research explored the boundary of Machine Learning, Human-Computer Interaction, and Natural Language Processing. The Einblick team has spent the last four years building an AI-native collaboration platform that helps users solve data problems with just one sentence. By joining forces with Databricks, the ideas behind Einblick can be more powerfully extended through deep integration with the underlying data catalogue.
In October last year, databricks announced its agreement to acquire Arcion, the leading provider for real-time enterprise data replication technology.
Valued at over US$100 million (AU$157.8 million), this integration enables businesses to bring together data from various databases and SaaS applications into the DatabricksLakehouse Platform, using a unified solution. The operational burden on business infrastructure is also minimised, enabling teams to access data almost instantly, for faster and more informed decision-making.
According to a recent MIT Technology Review Insights and Databricks survey of senior data and technology executives, businesses still suffer from many siloed systems; 34% have 10+ systems, and of the largest companies, more than 80% have 10+ systems to juggle.
Databricks’ ANZ customers include National Australia Bank, Atlassian, Coles, NZ Ministry of Health, Mercury NZ, and Kotahi.
This move comes on the heels of several other acquisitions Databricks made over the past year:
In late June, it acquired MosaicML, a prominent generative AI platform, at a transaction value of $1.9 billion (USD $1.3 billion).
Earlier that month on 13 June, Databricks acquired Rubicon, a startup working on building storage systems for AI.
Before that, in May, it acquired Okera, the world’s first AI-centric data governance platform.
This strategic expansion aligns with Databricks’ overarching vision of making large-scale model training more accessible to enterprises of all sizes, allowing them to create AI applications that understand their data.