Here’s the difference between Vertica and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.
Vertica develops data management solutions for storing and querying databases. Its products include The Vertica Analytic Database, which helps in analyzing data; Vertica for the Cloud, a cloud-based analytic database that helps in data management; and Vertica Analytic Database appliance, a hardware/software data management solution, which enables the clients to conduct near-real-time and ad hoc queries. After acquisition it is now promoted as HP Vertica Systems and has tools for SQL analysis on Hadoop.
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.
Overview | ||
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Categories | Data Warehouses | Data Warehouses, Data Lakes |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium, Contact Sales |
Location | US | San Francisco, US |
Companies using it | ||
Contact info |