Compare - Hive VS Databricks

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

About Hive

The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.

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 WarehousesData Warehouses, Data Lakes
StageLate StageLate Stage
Target SegmentMid Size, EnterpriseEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFreemium, Contact Sales
LocationUSSan Francisco, US
Companies using it
QuintoAndar logoCircleUp logoInfoPrice logo
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logoAstrato Analytics logoInfoPrice logoCHONGTECHNOLOGIES logovmt pvt ltd logoCortex logonashtech global logoMatillion logosub-zero group, inc. logolegoai technologies logo
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