2 years ago

Category: Business, Data, Privacy, Infrastructure, github, artificial-intelligence

One thing Acryl Data’s founders learned while working at LinkedIn and Airbnb is that metadata is constantly changing, and processes that rely on batch processing can’t keep up with today’s dynamic data workloads. And the key observation there was that metadata infrastructure really has to be aligned with data infrastructure in how it’s built. So the old-school metadata infrastructure, and in many cases, a lot of current technologies in the market also, are very crawl-oriented, like you connect up into systems, and then you just try to make sense of it all.

They talked to a lot of companies that use a lot of different tools in their stack while metadata about their data is changing constantly.

The platform is in private beta as is the company’s data catalog, an enterprise-ready SaaS product that enables data professionals to search and explore their entire multicloud data ecosystem.