Apache Hive vs. FirebirdSQL

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

When looking for low maintenance and a solution suited for all kinds of pc applications. It is great when you are looking to store physical files in folder locations and you can then reference the document in the database. It has an open-source community around it along with documentation for third-party drivers of the development environment.

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

• Reliable RDMS for the SMB's and we found its performance is really fast.
• It allows us to store the physical files into the folder location and reference of the document in the database.
• Easy to take back-ups, and portable.

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

• Clustering features require alot of attention.
• Remote access can be quite slow.

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

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

It is cost-effective, maintenance-free, easy to deploy and use on Linux and Windows environments and it works steadily. It has an open-source license. Installing Oracle was quite difficult in comparison to Firebird.

Incentivized

• 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

• The return on investment was of course because it freed us from paid relational databases.
• We have never experienced a negative situation.

Incentivized