Compare - Databricks VS Coginiti

Here’s the difference between Databricks and Coginiti. 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 Coginiti

Coginiti provides integrated analytics management tools powering collaboration between data engineers and business analysts. It couples ad-hoc data ingestion, data query, and discovery with the analytics catalog to enable companies create, share, and reuse SQL analytics.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesData Workspace/ Collaboration
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size, SMBs
DeploymentSaaSOn Prem
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFree trial, Contact Sales
LocationSan Francisco, USCalifornia, US
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
Coginiti logo
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