Compare - Lakefs VS Databricks

Here’s the difference between Lakefs and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.

About Lakefs

Cloud-based data analytics and data lake management platform. The features of the solution include databases, data science, data collection, data storage, data analysis, data monitoring, data migrating, etc. It also provides open-source storage-based data lakes operations platform.

About Databricks

Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.

Comparison Table

Overview
CategoriesData LakesData Lakes, Data Warehouses
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentOpen sourceSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFreemium, Contact Sales
LocationTel Aviv, IsraelSan Francisco, US
Companies using it
Uber logoQuintoAndar logoJMAN Group logoAXS logoGousto logoLucid logoPluralsight logoInfoPrice logoAstrato Analytics logonashtech global logoCortex logoMatillion logolegoai technologies logoCHONGTECHNOLOGIES logovmt pvt ltd logosub-zero group, inc. logo
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