Apache Hive vs. Percona Server for MySQL

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

Percona Server for MySQL covers 100% of our requirements in terms of our OLTP traffic and provides the High Availability levels required through a typical primary and 2 replica's using semi-synchronous replication. We're able to scale our writes using sharding, but a true distributed database would be a great option on top of this. In terms of OLAP traffic, we leverage columns stores available, but Percona Server fairs well

• 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

• Faster than other server solutions
• Installation and configuration process is easy from the user's standpoint
• Easy to learn and good support

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

• Better documentation
• A better UI

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

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

It is easy to install and use. Using it along with Percona Monitoring and Management makes it even easier to use.

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

We are using opensource so we have not used customer support.

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

Performance and stability sets Percona Server for MySQL apart from the rest. Percona embraces the upstream version and contributes towards the upstream version making MySQL stronger on two fronts and thus having a much larger community. Many quality contributions have been made by Percona into the base code. Percona provides great tools to support Percona Server for MySQL and this makes the monitoring and management easier

• 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

• At the performance level, it maintains and even improves other open-source databases such as MariaDB or some commercial ones such as Oracle.
• If we compare it with MySQL, we could have up to 50% improvement in performance.
• For some small companies or startups, the price of the complete solution and the support can be a bit high.

Incentivized