Compare - Databricks VS Dremio

Here’s the difference between Databricks and Dremio. 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 Dremio

Dremio is a provider of analytical processing data lake engines. The features of the product include data security and control, SSO authentication, automatic backups, predictive pipelining, inbound impersonation, workload management, etc. The clients of the company include Henkel, Honeywell, NCR, UBS, Verisk, DIAGEO, etc.

Comparision Table

Overview
CategoriesData Warehouses, Data LakesData Warehouses, Data Lakes
StageLate StageMid Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DevelopmentSaaSSaaSOn Prem
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFree trial
LocationSan Francisco, USCalifornia, US
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
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