Here’s the difference between Databricks and Arctype. 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.
Arctype is a fast, beautiful database GUI for developers and teams. With SQL autocomplete, spreadsheet-style editing, one-click visualizations, collaboration, and the best support for Postgres, MySQL, and PlanetScale - you'll finally love working with your DB.
|Categories||Data Warehouses, Data Lakes||Data Workspace/ Collaboration|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid Size|
|Pricing||Freemium, Contact Sales||Tiered Pricing Plans|
|Location||San Francisco, US||San Francisco, USA|
|Companies using it|