Cloudera Data Science Workbench vs. Starburst Enterprise

• If you already have a Cloudera partnership and a cluster, having this is a no brainer.
• It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results.
• With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively.

Incentivized

If you run a SQL query, Starburst Presto can help you track efficiently the status of SQL query. It can also track how many resources have been allocated for execution and what is the optimal way to run the query without hindrance. It also provides good information on worker nodes and how parallel threads are running together.

Incentivized

• Enterprise grade security.
• Self-service analytics platform.
• Popular programming support.

Incentivized

• Query tracking.
• Resource allocation.
• Parallelizing query execution.

Incentivized

• Not as great as RStudio; lacks some features when compared with it
• It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product

Incentivized

• Pricing
• Platform can be made more intuitive.
• Sometimes the platform hangs while aborting the query.

Incentivized

It is expensive and difficult to install and maintain.

Incentivized

Since our organization had already implemented Cloudera Data Platform as our Big Data Warehouse platform, implementing CDSW as the go-to Analytic and Data Science Platform is the most logical and cost-effective decision to make. It integrates seamlessly with our CDH clusters and it also provides enterprise-grade security for on-premise implementation.

Incentivized

Most of our systems were compatible with Starburst Presto. The dashboard which they provide was fairly intuitive and easy to use. The learning curve wasn't that much. Also, the parallel processing part was an additional feature that we didn't find in many competitive products. The pricing was a little higher but it was worth the trade-off.

Incentivized

• Paid off for demonstration purposes.

Incentivized

• Neutral impact.
• ROI on saving time for query execution.
• Parallel processing saves time too.

Incentivized