Databricks Community Edition FAQ Edition FAQ
What is the Databricks Community Edition?
The Databricks Community Edition is the free version of our cloud-based big data platform. Its users can access a micro-cluster as well as a cluster manager and notebook environment. All users can share their notebooks and host them free of charge with Databricks. We hope this will enable everyone to create new and exciting content that will benefit the entire Apache Spark™ community.
The Databricks Community Edition also comes with a rich portfolio of award-winning training resources that will be expanded over time, making it ideal for developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
Visit https://community.cloud.databricks.com to login into your existing account.
Where is the Databricks Community Edition hosted?
The Databricks Community Edition is hosted on Amazon Web Services. However, you do not incur AWS costs when you use the Databricks Community Edition.
How much does it cost?
The Databricks Community Edition is free of charge. You do not pay for the platform nor do you incur AWS costs.
I already have IPython notebooks, is it compatible with the Databricks notebooks?
The Databricks Community Edition notebooks are compatible with IPython notebooks. You can easily import your existing IPython notebooks into the Databricks Community Edition notebook environment.
What else can I do with my notebooks?
All users can share and host their notebooks free of charge with Databricks. We hope this will enable everyone to create new and exciting content that will benefit the entire Apache Spark community.
What if I want more capacity or functionality?
What is the difference between the Databricks Community Edition and the full Databricks Platform?
With the Databricks Community Edition, the users will have access to 6GB clusters, a cluster manager and the notebook environment to prototype simple applications, and JDBC / ODBC integrations for BI analysis. The Databricks Community Edition access is not time-limited and users will not incur AWS costs for their cluster usage.
The full Databricks platform offers production-grade functionality, such as an unlimited number of clusters that easily scale up or down, a job launcher, collaboration, advanced security controls, and expert support. It helps users process data at scale, or build Apache Spark applications in a team setting.
How do I report bugs or provide feedback?
For any bugs or feedback specific to the Databricks Community Edition, please email email@example.com.
Do I have to transfer my data into Databricks’ AWS account?
You do not need to persist in Databricks’ AWS account. In most cases your data can be accessed from its current location on S3 or other data sources.