Here’s the difference between Databricks and Secoda. 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.
Secoda is a cloud based data discovery and management solutions provider. The product automatically documents, manages, and discovers data. The features of the product include collaborations, no code integrations, auto generation of data lineage, related tables, and other key information, notifications on outdated, undocumented, and duplicate data, etc.
|Categories||Data Warehouses, Data Lakes||Data Discovery, Data Cataloging|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Pricing||Freemium, Contact Sales||Freemium|
|Location||San Francisco, US||Toronto, Canada|
|Companies using it|