Here’s the difference between Databricks and Integromat. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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.
Overview | ||
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Categories | Data Warehouses, Data Lakes | No code automation |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Freemium |
Location | San Francisco, US | Prague, Czech Republic |
Companies using it | ||
Contact info |