Apache Hive vs. FirebirdSQL

Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.

Incentivized

It is able to handle simultaneous connections when using the embedded software version. It is well suited for organizations looking for standalone servers that can handle high data volumes and still perform well and which is also cost-effective database management system especially when they are working on a low budget.

Incentivized

• Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
• Relatively easy to set up and start using.
• Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.

Incentivized

• Performance is really fast.
• It is portable and easy to take back ups.
• Its open n source and free.

Incentivized

• Some queries, particularly complex joins, are still quite slow and can take hours
• Previous jobs and queries are not stored sometimes
• Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
• Sometimes, directories and tables don't load properly which causes confusion

Incentivized

• Documentation.
• No GUI tool to view data.
• Slow via remote access.

Incentivized

Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.

Because it is free and usually zero maintenance. Just the issue of more difficult format updates in the future lower the rating a bit.

Incentivized

Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.

Incentivized

Usability has improved by unifying the architecture. The only thing's missing out of the box is a simple GUI DB tool for viewing DB contents and maybe running some SQL queries.

Incentivized

Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.

Incentivized

This is an open source project. It provides a fair amount of free documentation and I think forums somewhere...

Incentivized

Even somebody just starting to use RDBMS himself should get it working quickly, at least if he's got a GUI tool and some SQL knowledge.

Incentivized

Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed

Incentivized

Because it is having Open Source License and easy to deploy on windows and linux environment

Incentivized

• Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
• Apache hive can handle and process large amount of data in a sufficient time manner.
• It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.

Incentivized

• Cost effective saving us from paid relational database.
• Community support.
• Efficiency in handling simultaneous connections.

Incentivized