Epic Computation Engine Framework
November 08, 2020

Epic Computation Engine Framework

Chetan Munegowda | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Apache Spark

Apache Spark is being used by our organization for writing ETL applications. It enables us to ingest thousands of records of data to database tables.
  • Great computing engine for solving complex transformative logic
  • Useful for understanding data and doing data analytical work
  • Gives us a great set of libraries and api to solve day-to-day problems
  • High learning curve
  • Complexity
  • More documentation
  • More developer support
  • More educational videos
  • Saves lot of time
  • Very powerful
  • Automates lots of manual work
  • Higher depth of knowledge is required to understand and perform analysis
Spark is simply awesome to work on with any data sets and also has an in-memory database which makes it very flexible.
I have been using this for my ETL application, gives me all the necessary APIs to work with and solves my business objective.
Developer support for Apache Spark can be improved. We need more of a developer community around this considering it's an emerging technology.

Do you think Apache Spark delivers good value for the price?


Are you happy with Apache Spark's feature set?


Did Apache Spark live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Apache Spark go as expected?


Would you buy Apache Spark again?


Apache Spark is suited for big data applications when there is a need for performing analysis, streaming data work, and ETL work.