Compare - Hydra VS Databricks

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

About Hydra

Hydra is a data warehouse that is accessible from Postgres. You can start for free, begin scaling with Postgres, then switch to the data engine of your choice at any time. It's frictionless to swap back-end engines without lock-in.

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
StageEarly StageLate Stage
Target SegmentSMB's, Mid- SizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFree TrialFreemium, Contact Sales
LocationSan Francisco, CASan Francisco, US
Companies using it
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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