Compare - Databricks VS Amundsen

Here’s the difference between Databricks and Amundsen. 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 Amundsen

Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.

Comparision Table

Overview
CategoriesData Warehouses, Data LakesData Discovery, Data Cataloging
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DevelopmentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemium, Contact SalesFree trial
LocationSan Francisco, USUS
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
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