Apache Hive vs. Realm

Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.

Incentivized

Realm is a user-friendly, intuitive web-based database manager, great for church membership and financial information. Transitioning was easy--even our 90-year old attendance volunteer made the switch with ease. The customer service staff at Realm is fantastic. As I mentioned before, my one big complaint is the inability to pull a report with children outputted on the same row in excel as their parents.

Incentivized

• Hive syntax is almost like SQL, so for someone already familiar with SQL it takes almost no effort to pick up Hive.
• To be able to run map reduce jobs using json parsing and generate dynamic partitions in parquet file format.
• Simplifies your experience with Hadoop especially for non-technical/coding partners.

Incentivized

• Tracking attendance
• Running reports, both financial and membership-related
• Nursery check-in

Incentivized

• Use Hive for analytical work loads. Write once and read many scenarios. Do not prefer updates and deletes.
• Behind scenes Hive creates map reduce jobs. Hive performance is slow compared to Apache Spark.
• Map reduce writes the intermediate outputs to dial whereas Spark operates in in-memory and uses DAG.

Incentivized

• As it has all type of necessary feature which should have any Data base.
• If we can save full structure in Realm easily then i think it will be good for developer.

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

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

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.

Incentivized

We have used a simple but necessary function such as merging certain data tables, which although they may be from different areas, complement each other or are necessary, you can use metadata if what you need is to validate the origin of your information and what impact it has, is also feasible.

Incentivized

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.

• Good ROI for being able to access data easily across the network, we have large amounts of data and this is a good system to access it
• Good ROI for being easy to learn how to use for new employees, not much time spent which saves costs
• Good ROI for being able to integrate with Spark and other applications, hence data can be analyzed through programs

Incentivized

• Because of Realm our app is very fast and light weight.
• It has all types of features that should have any Data base, because of that we actives all required features of the app.