Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.
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TeamDesk
Score 9.0 out of 10
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TeamDesk is a low-code development platform for online database creation. Business owners or managers can build a unique web database solution without any programming to facilitate working with data, organize routine work and create an accessible data source for teams.
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.
Teamdesk is perfect for any operational tracking requirements for companies small or large, and any situation where you need to integrate with other systems since it can be set up to do that flexibly via its API and Webhooks. For example, you could track contacts, time and expense, projects and tasks, schedules, web leads, check-ins, order entry, quotes and invoices, support ticketing, and use the more advanced features to integrate with other systems to pull in currency exchange rates, various lists of data from other databases, send faxes, send bulk emails and so on. It does not do offline storage, so it would not be appropriate for a situation that offline work.
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.
Provide a very good, customizable user management system.
Gives a lot of flexibility to customize database to your needs without requiring coding skills. Even allows to customize interface if you can code in html.
Provides unlimited space and records.
Gives an opportunity to have a database on EU servers to comply with GDPR
Offers very good pricing options comparing to competitors (Salesforce, Quickbase, etc.) and offers unlimited space.
Gives an opportunity to share your ideas how to improve the platform, many of which are being implemented
Customers service if very helpful and friendly. All my questions were answered within a couple hours.
The only down side that I see, is that you have to be willing to spend some time creating your database. You start with a blank canvas and all the tools you need to design a custom database. But, you have to take the time to do it. If you take that time, it is well worth it.
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.
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.
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
Quickbase is a good product which I have been using for 5 years (powerful, nice interface) but - not so powerful as TeamDesk - started to move toward large companies (>50 people) - more expensive than TeamDesk Zoho was not as flexible as TeamDesk Caspio was not as powerful as TeamDesk
The per user cost is significantly lower than any prior option we have tried. The time spent getting things set up was time well spent for the overall long-term savings.
