InfoFrames

Fast, powerful, scalable, and programmable library for
Big Data storage and analysis. 

InfoFrames store data in the compressed form of effective summaries that AI/ML algorithms can take advantage of.

Ability to take full advantage of unstructured data. 

About

0 %

of the data we generate is unstructured.

But only

0 %

of organizations are able to take advantage of such data.

InfoFrames will help you with:

01.

Storing data in efficient, compressed form that allows for using them in machine learning and data science applications as-is

02.

Storing and analyzing large sets of multi-dimensional data (up o 30x better than NumPy)

03.

Data is stored in the compressed form of effective summaries

How does it work?

InfoFrames is a library that provides APIs in C++ and Python for storing and processing big data. Data is stored in the compressed form of effective summaries that support advanced AI/ML algorithms.

Features:

Fast I/O operations

Support for multiple common data types

Support for tensor data type and their efficient storage and processing

ML/AI methods supported by efficient data summaries

Fast I/O operations

Support for tensor data type and their efficient storage and processing

Features:

Support for multiple common data types

ML/AI methods supported by efficient data summaries

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