11/25/2023 0 Comments Data lakehouse snowflake![]() Meanwhile, Databricks offers an on-premise-cloud hybrid open-source-based Data Lake 2.0 approach.īoth camps are competing to become the one-stop-shop to handle all your data for any use case. ![]() Snowflake offers a cloud-only proprietary EDW 2.0. ![]() Snowflake & Databricks best represent the two main ideological data digestive camps we’ve seen before with a fresh reboot for the cloud. They deliver faster performance at lower cost thanks to the price elasticity of the cloud. They take advantage of new cloud offerings to help us convert more of those data calories into something useful. They can’t afford to abandon large investments in tightly coupled hardware & software systems that sit in their basements.įortunately, much improved alternative solutions from Snowflake & Databricks have emerged to replace the legacy EDW 1.0 & Data Lake 1.0. The outdated proprietary on-premise enterprise data warehouse (EDW) designed to store and process transactional data continues to die a slow and painful death thanks to all of its locked-in customers. Better open source alternatives showed up, and since it was free, it was easy to replace. Open source MapReduce died quickly as a software engine to process big data stored in “data lakes”. Welcome to the current state of data infrastructure. And the on-premise EDW is on life support. 55% of data goes unused ( Splunk, 2019 survey). Software ate the world, turned it into data, and now it’s backed up and suffers from indigestion.
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