Compare - Databricks VS Astrato

Here’s the difference between Databricks and Astrato. 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 Astrato

Astrato is a flexible data layer designed to enable everyone, everywhere to make live data decisions. With direct query access to Snowflake’s data cloud, Astrato unlocks insights across your organisation and provides a creator-centric layer for your data visualisation.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesBusiness Intelligence (BI)
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMBs, Mid-Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFreemium, Contact Sales
LocationSan Francisco, USLondon
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logoAstrato Analytics logoInfoPrice logosmartyutil logoCHONGTECHNOLOGIES logovmt pvt ltd logoCortex logo
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