Help your dev team !
April 12, 2022
Help your dev team !
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Apache Hive
We build our data lake and perform queries on large amounts of data. We group data from multiple sources into a common structure, making it easy for our developers to perform complex queries without leaving the simple framework provided by SQL. Although the deployment is not easy, once we have the infrastructure, the work is greatly simplified.
- Simplify query to devs
- Organize data
- Batch process
- Deploy
- Maintenance
- Support
- Batch
- Easy of use to devs
- Community support
- Reduce time to market
- Improve client satisfaction
- Saves money :)
Community support and ease of use -not deployment.
It enables querying and analyzing large amounts of data stored in HDFS, on the petabyte scale. It has a query language called HQL that transforms SQL queries into MapReduce jobs that run on Hadoop, and it is wonderful for the devs team that love it.
It enables querying and analyzing large amounts of data stored in HDFS, on the petabyte scale. It has a query language called HQL that transforms SQL queries into MapReduce jobs that run on Hadoop, and it is wonderful for the devs team that love it.
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?
I wasn't involved with the selection/purchase process
Did implementation of Apache Hive go as expected?
No
Would you buy Apache Hive again?
Yes