Transparent Data Compression

Reduce your data transmission times and data storage costs up to 90% with Transparent Data Compression. This is a cutting-edge technology designed to significantly optimize data handling. By compressing data without altering its format or requiring changes to existing systems, organizations can streamline their operations effortlessly.

Data is the backbone to Digital Transformation, a $12T industry.

It is predicted that 612 zettabytes of data will be generated by 2030, and more than double by 2035. Data storage capacity will be a challenge. Data compression should play a vital role in optimizing storage space, enabling faster data transfer, increasing bandwidth efficiency, and reducing costs. Yet, there is a staggering global market size variance between data compression and data storage as it is estimated only 20% of all data in data centers is compressed due to the pitfalls of compression nullifying any perceived efficiencies or financial gain.

Data Compression Market Restraints

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Processing
Overhead

The compression and decompression process require additional costly computational resources such as CPU cycles and memory to compress the data. This overhead can impact system performance especially when dealing with large data sets and the cost will offset any data compression savings. We consume NO extra CPU cycles and uses NO extra memory.

Access to
Data

No access to data while compressed, and long decompression times when needing the data is  problematic. Our Transparent Compression option – For ASCII text, flat-file, HTML and email, allows compressed data to be searchable, and editable without the need to decompress.

Expanded
File Size

Oftentimes conventional compression results in larger files. Our Adaptive Compression uses AI to select from a variety of conventional and special compression techniques to analyze a group of file formats and apply the most efficient compression and decompression method to each individual file.

Compatibility

Many file conversions are inconsistent between formats for instance, direct conversion from BMP to JPG forces lossy compression on the BMP without your asking. This problem is widespread and beyond market control. We significantly reduce the compatibility issue within our AI-base file management database library.

Lossy
Limitations

We can eliminate loss in hyper-compressed documents even with our extreme compression ratios, where conventional systems become decoherent if pushed beyond conventional limits.

With nCore’s Transparent Data Compression, HTML, email, ASCII, Text, and flat files, created by standard or custom dictionaries, are fully searchable AND editable in their compressed form. No decompression of the file occurs, which is different from compressed file viewer methodologies that decompress files to temporary RAM space or to a hard drive (expanded memory) for viewing or searching. You compress once and the data is fully Boolean searchable and editable.

Fully searchable and editable while compressed

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Up to 90% reduction
in file size

Totally lossless

No additional costly CPU Cycles which offsets compression savings

Maintains file format parameters

Reduce transmission times and costs to the cloud

Faster search times of compressed files with the integration of nCel Software

On-prem or in the cloud, on Linux and Microsoft operating systems