Which product would you choose for a data science team: Databricks vs Dataiku?

Databricks and Dataiku are excellent Data Science platforms but have different strengths and weaknesses. Below is a comparison of the two products based on several parameters:

Cost

• It is reported that Databricks is a subscription-based service, and its cost varies based on the level of service you choose. They say the service also offers a free tier for development and testing purposes.


• Dataiku is also a subscription-based service, as reported, and the cost varies depending on the number of users and the features you need. The service also offers a free trial.

Team Collaboration

• Databricks offers many features that help make team collaborations on Data Science projects easier, including notebooks, projects, and workspaces.


• Dataiku also offers several features for team collaboration, including shared projects, workspaces, and user permissions.

Application

• Databricks may be a good choice for various Data Science applications, including Machine Learning, Data Engineering, and Data Visualization.


• Dataiku may also be worth considering for a wide range of Data Science applications, but they say it is particularly well-suited for Machine Learning.

Data Security

• Databricks has several security features, including encryption, access control, and auditing.


• Dataiku also offers the above-mentioned security features.

Databricks is a good choice for a wide range of data science applications and offers several features that make it easy for teams to collaborate. Databricks also offers a good level of data security. However, if your organization needs a Data Science platform more suitable for Machine Learning, Dataiku may be better.