Apache HBase vs. FirebirdSQL

HBase is well suited for streaming ingest, fast lookups, massive datasets, data warehouse lookup tables, RDBMS replacement, MongoDB replacement, key-value store, data scans, logs, JSON storage and some binary storage. My preferred use case is for storing data points like time series or data produced by sensors. I often use HBase when I need data available immediately and I am not looking for transactions. This is a great store for really wide tables with tons of columns. It is also great if you are not sure what type of data you are going to have. It really excels at sparse data.

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

• Scalable and truly non-relational data
• HBase operations run in real-time on its database rather than MapReduce jobs
• Scales linearly to support billions of rows with millions of columns

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• 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.

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• Write performance
• Performance support for parquet file format. supports, but performance wise still not there
• API / library availability for spark, rather than creating a new library for it

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

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There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.

Incentivized

Because it is free and usually zero maintenance. Just the issue of more difficult format updates in the future lower the rating a bit.

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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.

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This is an open source project. It provides a fair amount of free documentation and I think forums somewhere...

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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

Compared NoSQL databases with traditional databases for faster retrieval and consistency. As MongoDB is a NoSQL supports dynamic fields, however, query performance is bad for aggregations and added maintenance. When compared with MySQL and Teradata, it could not scale up as fast as Hbase and added cost involved to it. HBase can be easily scalable to a huge volume of records, have a faster lookup and provides consistency

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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.

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• Positive: Open source, easy to use, good to store big data.
• Negative: SQL functionalities are not available.
• More memory utilization
• More troubleshooting

Incentivized

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

Incentivized