Compare Hive Software and MongoDB 
Hive vs MongoDB
When assessing the two solutions, reviewers found MongoDB easier to use, set up, and administer. Reviewers also preferred doing business with MongoDB overall.
- Reviewers felt that MongoDB meets the needs of their business better than Hive.
- When comparing quality of ongoing product support, reviewers felt that MongoDB is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of MongoDB over Hive.
Hive is one of the Apache projects. it is a data warehouse software which facilitates querying and managing large datasets residing in distributed storage. It provides a way to enable easy data extract/transform/load (ETL) Some of the nice features include...
Ofrece muchas herramientas, tiene un gran potencial de crecimiento.
- Ease of use - Easy to become productive - Easy indexing - Easy to install - Query language - Easy to scale - I was able to implement a polyglot solution combining MongoDB and Neo4j, a graphdb. The architecture has not fundamentally changed since...
Now flexibility becomes a problem. If you don't properly validate the input you want to store, you will end up with a big amount of fields that are useless and confusing. Also, the same field in different rows can be null, string, numeric, boolean, object,...
Hive is one of the Apache projects. it is a data warehouse software which facilitates querying and managing large datasets residing in distributed storage. It provides a way to enable easy data extract/transform/load (ETL) Some of the nice features include...
- Ease of use - Easy to become productive - Easy indexing - Easy to install - Query language - Easy to scale - I was able to implement a polyglot solution combining MongoDB and Neo4j, a graphdb. The architecture has not fundamentally changed since...
Ofrece muchas herramientas, tiene un gran potencial de crecimiento.
Now flexibility becomes a problem. If you don't properly validate the input you want to store, you will end up with a big amount of fields that are useless and confusing. Also, the same field in different rows can be null, string, numeric, boolean, object,...
