Centercode vs. kdb+

It's not perfect but it definitely does its job and what its purpose for. The fact that we were able to access this globally and produce a great product after performing massive bera testing gave that "dev" feels eventhough we aren't. Seeing the cross comment add collaboration made it more intuitive because we were able to narrow down on the specifics of what we were actually testing

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

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• One stop destination for managing all aspects of testing, including community, recruiting, feedback (bugs, suggestions, surveys).
• Easy way to communicate with testers and collect their feedback
• Customizability, I can customize the platform to address differences between products.

• 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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• Tag and attribute searching for forms, messages, and surveys
• Report graphics with large datasets
• More of a focus on B2B beta testing and not solely business to customer

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

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Makes beta enjoyable.

switching costs

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its ok

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Tony is amazing. I look forward to our interactions.

We don't use it.

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Centercode is better than Google Forms and Sheets for our use case of a long ongoing beta with participants rotating in and out 10000x times better. However, it might be a little too complex for what we needed. We may have been better off with something in the middle--a little more lightweight and cheaper.

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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

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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• A project and beta testing that could've taken > 6 months or even years was cut down to a month and few weeks only
• Overall accessibility, ease of use, and security were right on the money
• Collaboration tools and features allowing everyone to innovate and spark great ideas and share it

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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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Independently Invited by TrustRadius

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