Likelihood to Recommend 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.
Read full review In my current project, I am saving the full model into the Realm Database. it takes very little time to integrate into our existing project. So it helps us to save a lot of time and easy to fetch data and CRUD operation with any type of data. and according to our need, we can modify it as well.
Read full review Pros 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. Read full review Tracking attendance Running reports, both financial and membership-related Nursery check-in Read full review Cons 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 Read full review Notifcations Connecting with other social media platforms Read full review Likelihood to Renew Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Read full review Usability 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.
Read full review Support Rating 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.
Read full review Our transition to Realm was fantastic. We had a rep do two days of training with staff. She also provided us with a step-by-step plan for our rollout to the congregation. In addition to the fabulous customer service team, the "help" section of the Realm website is useful--it includes written answers and also video tutorials/webinars. The search function in the help section is built effectively.
Read full review Alternatives Considered 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
Read full review From my experience Realm is fatter than
SQLite . Realm has less Query and is easy to understand. even new developers also can use it In his/her project. It has a good document so a new developer can read and understand and apply it to the project.
SQLite is old and not so easy to understand. we need to add a third-party library to easily use
SQLite .
Read full review Return on Investment 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. Read full review Class sign-ups Event attendance Communication within certain groups Read full review ScreenShots