FirebirdSQL vs. kdb+

It is able to handle simultaneous connections when using the embedded software version. It is well suited for organizations looking for standalone servers that can handle high data volumes and still perform well and which is also cost-effective database management system especially when they are working on a low budget.

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kdb is well suited for real time tick data and time series analytics.

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• Performance is really fast.
• It is portable and easy to take back ups.
• Its open n source and free.

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• Time series analysis. The built-in vector operations are extremely fast. Also with the q language you can code up any customized analytical ideas quickly.
• The database are all file based, very easy to maintain.
• Very solid and fast interface to websocket, so you can interface with javascript easily.

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• Documentation.
• No GUI tool to view data.
• Slow via remote access.

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• Run time error message readability, particularly for new users.
• Backwards compatibility between versions.

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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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switching costs

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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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its ok

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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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We don't use it.

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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.

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Because it is having Open Source License and easy to deploy on windows and linux environment

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Python is very commonly used for large data analysis and in general is much easier to pickup than kdb+. The biggest drawback of kdb+ is the learning curve.

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• Cost effective saving us from paid relational database.
• Community support.
• Efficiency in handling simultaneous connections.

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• It perfectly solves most of our real time tick data needs.
• Finding good kdb resources is slightly difficult. Also new people trying to learn kdb experience a relatively longer learning curve.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info