Compare - Metaplane VS Databricks

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

About Metaplane

Metadata cataloging and management solutions provider. The features of the product include an automated collection of metadata, interface for discovery, curation, and annotation, API integration, data centralization, deployments, etc. It also finds, diagnoses, and fixes data quality issues.

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 Quality MonitoringData Lakes, Data Warehouses
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFree trialFreemium, Contact Sales
LocationUSSan Francisco, US
Companies using it
Uber logoQuintoAndar logoJMAN Group logoAXS logoLucid logoGousto logoPluralsight logoInfoPrice logoAstrato Analytics logoCortex logoCHONGTECHNOLOGIES logoMatillion logolegoai technologies logovmt pvt ltd logonashtech global logosub-zero group, inc. logo
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