Compare - Databricks VS Osmos

Here’s the difference between Databricks and Osmos. 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 Osmos

Omsos takes the pain out of cleaning messy external data and importing it into your operational systems. Empower your customers,vendors, and partners with a simple, no-code experience to upload data directly into systems without a single line of code. Or have your onboarding teams manage the process with no-code data pipelines in minutes.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesETL Tools, No code automation
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMBs, Mid Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFreemium, Contact Sales
LocationSan Francisco, USSeattle, WA, US
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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