Compare - Databricks VS Variance

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

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.

About Variance

Variance is a platform that manages customer data for companies focused on growth. With Variance, you can convert more trials and crush expansion goals.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesPLG CRM, Operational Analytics
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesContact Sales
LocationSan Francisco, USOakly, US
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logoAstrato Analytics logoInfoPrice logosmartyutil logoCHONGTECHNOLOGIES logovmt pvt ltd logoCortex logo
smartyutil logo
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