Compare - Databricks VS Integromat

Here’s the difference between Databricks and Integromat. 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 Integromat

Integromat is a tool for automating manual process. It connects the apps, services, and devices into functional scenarios and helps to get rid of repetitive tasks. It comes with a lot of pre-defined scenarios which are ready to use and provides integration with various third party applications.

Comparison Table

Overview
CategoriesData Warehouses, Data LakesNo code automation
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFreemium
LocationSan Francisco, USPrague, Czech Republic
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logoAstrato Analytics logoInfoPrice logoCHONGTECHNOLOGIES logovmt pvt ltd logoCortex logonashtech global logoMatillion logosub-zero group, inc. logolegoai technologies logo
Airbnb logoUber logoworkiz logo
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