Okera provides a cloud-based data governance platform that enforces fine-grained, cell-level access control for data lakes in large enterprises. It works by integrating with data stores and identity systems to apply policies at the most granular level and by automatically discovering and tagging sensitive data to help with GDPR and other privacy compliance. The platform is delivered as a SaaS service, enabling self-service analytics while maintaining governance and security. Differentiation: it emphasizes very granular access control and automated sensitive-data discovery within a SaaS data-lake governance solution, helping organizations manage data access and compliance at scale. Goal: help big-data users securely unlock the full value of their data by providing precise policy-driven access and automated data discovery, reducing privacy risk and data-related costs.
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Industries
Company Size
11-50
Company Stage
Series B
Total Funding
$29.6M
Headquarters
San Francisco, CA
Founded
2016
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Total Funding
$29.6M
Below
Industry Average
Funded Over
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Databricks has also made a string of recent AI acquisitions, with the MosaicML purchase following deals to acquire Okera in May and Rubicon in June.
For a decade, Databr
As a part of the acquisition, the Okera team will join forces with Databricks.
San Francisco-headquartered Okera, which was founded in 2016 by Amandeep Khurana and Nong Li, has raised over $29 million in funding from investors such as Bessemer Venture Partners, Alumni Ventures, and Felicis.
Databricks today announced that it has acquired Okera, a data governance platform with a focus on AI. The two companies did not disclose the purchase price. According to Crunchbase, Okera previously raised just under $30 million. Investors include Felicis, Bessemer Venture Partners, Cyber Mentor Fund, ClearSky and Emergent Ventures.Data governance was already a hot topic, but the recent focus on AI has highlighted some of the shortcomings of the previous approach to it, Databricks notes in today’s announcement. “Historically, data governance technologies, regardless of sophistication, rely on enforcing control at some narrow waist layer and require workloads to fit into the ‘walled garden” at this layer,’ the company explains in a blog post. That approach doesn’t work anymore in the age of large language models (LLMs) because the number of assets is growing too quickly (in part because so much of it is machine-generated) and because the overall AI landscape is changing so quickly, standard access controls aren’t able to capture these changes quickly enough.Okera then uses an AI-powered system that can automatically discover and classify personally identifiable information, tag it, and apply rules to this (with a focus on the metadata), using a no-code interface.As the Databricks team stressed, that’s one of the reasons the company was interested in acquiring Okera, but the other is the service’s isolation technology, which can enforce governance control on arbitrary workloads without any major overhead
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Industries
Company Size
11-50
Company Stage
Series B
Total Funding
$29.6M
Headquarters
San Francisco, CA
Founded
2016
Find jobs on Simplify and start your career today
We update Okera's jobs every few hours, so check again soon!Browse all jobs