Here’s the difference between Databricks and Astronomer. 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.
Astronomer is an open-source data integration platform that helps data engineers to collaboratively contribute to the code which can be used by data scientists/engineers for integrating web applications. It is a hosted data pipeline service that can be used to connect various data source like oracle, mysql, salesforce etc to destinations like cloud platform amazon redshift, bi tools, google analytics and website analytics tools like kissmetrics. The company also provides implementation services to the companies with no data engineer.
Overview | ||
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Categories | Data Warehouses, Data Lakes | Workflow Orchestration |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |