1010data vs. kdb+

The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.

Incentivized

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

Incentivized

• To "pool" their data for market analysis
• Very large data analysis
• Performance and scalability

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

• The ten.do interface could use more detailed documentation

Incentivized

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

Incentivized

switching costs

Incentivized

That's votes by our team.

Incentivized

its ok

Incentivized

We don't use it.

Incentivized

While we have used SQL, 1010data is really the only industry standard product available for our use.

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

• Positive impact on help business make a data-drive decision
• Positive impact on big data analysis
• Negative impact on user friendly

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