Reliable, cheap and trustworthy!
September 18, 2020

Reliable, cheap and trustworthy!

Nicolas Hubert | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Apache Hive

It is only used in the IT department, mainly by IT engineers, Data Scientists, and Business Analysts with a technical background. It requires some time to master this tool, so this is only for engineer-related positions.
  • Reading databases
  • Writing databases
  • Storing databases
  • Distributed databases
  • Improvement techniques for handling Relational Data
  • Advanced optimizations
  • Transactions memory
  • Finding information is easier
  • Fault tolerant
  • Reliability of data
Easy to understand, well supported by the community, good documentation. However, it is possible that SAP Business Warehouse could be a good fit, too, even maybe better. I did not have the chance to try it though. We selected Apache Hive because it was far less expensive and handled all the tasks we wanted to perform with it.
Documentation is so thorough and the community so huge that I never actually had to contact support for Apache Hive. I always found an answer to my questions on some forums. So I put a mark of 9 out of 10.
Very handy and easy to understand, but can prove difficult when performing huge queries (advanced level). Overall, I don't think competitors can do better in terms of usability. The learning curve is really good!

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

Yes

Are you happy with Apache Hive's feature set?

Yes

Did Apache Hive live up to sales and marketing promises?

Yes

Did implementation of Apache Hive go as expected?

Yes

Would you buy Apache Hive again?

Yes

Apache Hive acts as a hub for information to be stored and smoothly readable + analyzed by BI analysts in order to make wise and data-driven decisions. Users can read, write and manage data, too. This only requires some SQL intermediary knowledge, and we all know learning SQL is quite easy. I do not think of any scenario where Apache Hive would not be appropriate.