Do you need to accurately and efficiently summarize big data?
Integrands is collecting feedback, concerning big data reduction APIs, from potential end users (academic, scientific, or corporate).

In your line of work, if you have a need to accurately and efficiently summarize big data, please complete this no-obligation survey to help us help you.

Email address *
In which industry do you work? *
Required
What operations do you need to perform on your data? *
Required
How do you process your data now?
Your answer
Is there anything that you dislike about your current method(s) of processing big data? How could it be improved?
Your answer
Are you confronted by any challenges?
Your answer
What do you glean from your data?
Your answer
Can your data always be summarized?
Should your data be compressed only and never summarized?
What do you expect from your data after it is summarized / reduced?
Your answer
Which platform / operating system is used to generate your data? *
Required
Is your data distributed across a network and must be coalesced for processing?
If you build software using APIs to operate on big data, what coding languages do you prefer? *
Required
Do you use any software tools or third party APIs to process big data?
What performance do you expect from a big data reduction API? *
Required
Does your data processing involve proprietary algorithms?
Is there anything else that you would require from a big data reduction API?
Your answer
How may we contact you?
Your answer
Big data API Survey
In various industries, unprecedented amounts of data are being generated from many sources (sensors, simulators, etc.). There is an imminent need to efficiently process, analyze, and summarize/reduce this data in a real-time, dynamic, or post process fashion.

Integrands is designing algorithmic APIs that provide critical data reduction, sharing, and management functionality. End users can integrate this API into their software to simplify their development.

Integrands
Real-time message oriented middle-ware that simplifies the development of distributed software applications that need to share and manage data.

For developers of desktop, smartphone, and enterprise software.

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