Here’s the difference between IBM db and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.
Cloud analytics and infrastructure management solutions provider. It provides master data management (MDM) solutions that manage multiple domains of master data and reference data. It also provides a hybrid cloud solution that makes use of artificial intelligence for modernizing business. The features of the product include data management, governance, and integration, process automation, etc. It provides solutions to industries such as banking, government, healthcare, life sciences, manufacturing, oil & gas, etc. In 2021, the company recorded annual revenues of $73.62B, and a net profit of $5.59B.
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 | Late 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 | New York, US | San Francisco, US |
Companies using it | ||
Contact info |