Apache Hive vs. Arcadia Data (discontinued)

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 suitable for companies without a proper data warehouse. He does very well in sales analysis and KPI management. It builds mini data warehouses, is good at data fusion, and interfaces well with other systems. Also, the export function and filter can greatly help you to get only the information you want in the format you want.

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

• Coding is also simple and can be learned easily.
• It is my favorite because it shows how mathematical models are used in real life.

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

• You have to make sure that the information thrown makes sense and is well organized.
• There is a risk when saving information in the cloud from computer attacks

Incentivized

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

We can easily provide the information that the user wants and customize it according to their needs. Sometimes a certain report can be used as the basis for creating another one that saves you time to deliver critical information in the shortest amount of time with the best results. Builds mini data warehouses, is good at data fusion, and interfaces well with other systems.

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

I love how easy it is to create prototypes due to its simple simulation and modeling system. Other than that, the codes are usually simple and not very complex and it's built-in debugging adds to that ease. is an excellent tool for analyzing, classifying, and visualizing data. I do this most of the time to help me grab huge collections of data.

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

You can have a good reading of the data, you undoubtedly have cost savings and eliminate unnecessary and repetitive processes, we have unstructured data that, when structured, are elements of information that have become a competitive advantage for our organization, it is undoubtedly a strategic ally for the organization in the decision-making process

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

• Download the report data only in Excel. Unable to download report formats such as colors, fonts, etc.
• It does not support the presentation of images of our products as part of the analysis.

Incentivized