kdb+ vs. Oracle MySQL Cloud Service

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

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It is very scalable and it gives us backup for everything. Because of this feature, we (as a developer) can do any R&D if required. It is very stable so we can get any type of help. It has a recovery feature also which we used recently for my project. It is very easy to recover.

• 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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• Oracle database has ability to store large scale of data.
• It can support any kind of scenario with any label of system.
• Encryption and security is the key features of Oracle database 12c.

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

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• It has some issues [when] performing local unit testing in personal edition.
• It is costly if we will go for cloud.
• Need license for some features.

switching costs

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its ok

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We don't use it.

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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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It has the most stable database. It smoothly supports [a] huge [amount of] data. Security-wise it is best among them. It is a very large community and has well-defined documentation, which can support [during the] implementation of the Oracle database. We can easily scale up servers whenever [we] change our requirements. Oracle12c is best for large-scale projects like banking and retails.

• 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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Independently Invited by TrustRadius

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• It has ability to handle [a] huge [amount of] data and give [the] best performance
• Easy to write PL/SQA queries
• Secure and encryption option