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.
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.
TeamDesk is a phenomenal service for our practice. Each legal practice area has unique characteristics that are important to successful practice. Generalized practice management services do address those unique elements because they are created for a mass audience. What makes TeamDesk so helpful is that it can be customized to account for any unique issue that we confront. We use TeamDesk for matter management. It can handle general issues like billing, matter notes, etc.; but it also allows us to track specific details unique to our practice area across each matter and make comparisons that are useful to our practice. Additionally, we have been able to customize it to facilitate our client development efforts.
The ease of customization has been very helpful. As we use the system longer and decide what works for us and what needs changed, it's a matter of moments to be able to make any desired changes. Much more flexible than anything else we've used in the past.
The customer service has been excellent. Any issues that have arisen have been quickly and fully addressed.
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.
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.
Prior to Teamdesk we used Excel, an Access database, an online time and expense tracking system, and Dabble DB. Excel and Access had limitations with simultaneous access on the LAN, the online T&E system did only that and was not flexible, and Dabble was flexible, but how can you rely on a company whose goal is to exit, when you want to run your business on their platform. Teamdesk has everything we need.
