dataPARC vs. kdb+

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

Incentivized

• 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.

Incentivized

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

Incentivized

switching costs

Incentivized

its ok

Incentivized

We don't use it.

Incentivized

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.

Incentivized

• 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.

Incentivized