Compare - Phiona VS Databricks

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

About Phiona

Set up an instant data lakehouse to unify, transform and share all of your siloed data in less time than it takes to make a coffee. No code or configuration required.

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 Lakes, No code automationData Warehouses, Data Lakes
StageMid StageLate Stage
Target SegmentMid Size, EnterpriseEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFree TrialFreemium, Contact Sales
LocationAtlanta, Georgia, USSan 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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