Vast data compression

  • How does data compression affect computer performance?

    In many cases, compressing the data in a table space significantly reduces the amount of disk space that is needed to store data.
    Compressing data can also help improve buffer pool performance..

  • What are the pros and cons of data compression?

    Pros and cons of compression
    A compressed file also requires less time for transfer, and it consumes less network bandwidth than an uncompressed file.
    The main disadvantage is the performance impact from the use of CPU and memory resources to compress the data..

  • What does VAST Data do?

    Introducing the VAST Data Platform – a revolutionary all-encompassing software framework, thoughtfully designed to organize, enhance, and safeguard data, while unleashing the full potential of real-time deep data analysis and AI..

  • What is data compression in data mining?

    Data compression is the process of encoding, restructuring or otherwise modifying data in order to reduce its size.
    Fundamentally, it involves re-encoding information using fewer bits than the original representation..

  • What is the main objective of data compression?

    Data compression is a reduction in the number of bits needed to represent data.
    Compressing data can save storage capacity, speed up file transfer and decrease costs for storage hardware and network bandwidth..

  • Simply put, compression methods crunch data - text, graphics, audio or video - into a computer-decipherable shorthand that's 10% to 99% of its original size.
    The data takes up less storage space and requires less bandwidth to be transmitted over the Internet.
  • VAST Data pricing is touted at about $0.03/GB instead of a dual-port NVMe enterprise SSDs at $0.60/GB.
    The architecture is designed as a “single tier, flash-based capacity store that can cover performance to archive-level data storage needs at a cost similar to or lower than hard disk drives.”
  • VAST Data's technology depends upon its data reduction technology which discovers and exploits patterns of data similarity across a global namespace at a level of granularity that is 4,000 to 128,000 times smaller than today's deduplication approaches.Feb 26, 2019
Apr 26, 2019 data compression and data deduplication to reduce the storage footprint of data for decades. At VAST Data we've come up with a new data 
Apr 26, 2019VAST's global similarity reduction can reduce data more than the combination of data deduplication and compression used by other all-flash 

What compression algorithm does powerprotect use?

The PowerProtect systems use LZ, which was the compression algorithm used by Data Domain, and can have a hardware compression card that can use and accelerate gzfast or the optional gz algorithm.
PowerProtect compression is applied to data after it arrives in an NVRAM buffer and its compression, like VAST’s, is lossless.

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What compression method does vast use?

VAST has data compression as well, and uses the Zstandard (ZSTD) compression method with byte granularity, as well as data-aware compression.
It runs ZSTD, not inline when data arrives on the system, but when it migrates already ingested data to its QLC flash storage from a storage-class memory tier or buffer that houses incoming data.

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What data reduction techniques does vast use?

VAST uses three techniques for data reduction:

  1. global compression
  2. global deduplication
  3. very soon global similarity compression

Data reduction reduces the amount of data written to some amount below what is logically written.
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What is data-aware compression?

VAST’s data-aware compression is used with numeric data that has a known limited range, such as:

  1. sensor temperatures or stock trade values

Because these values typically vary over a limited range, the most significant bits or whole bytes will often be repeated.

Limits on Compression

For various reasons, including limits on dictionary size

Data Deduplication

Where compression reduces small repeating patterns in your data to even smaller symbols data deduplication identifies repeating data in larger blocks

Data Deduplication Trade-Offs

Since deduplication only reduces data that’s an exact match at the block level, smaller block sizes will result in greater data reduction

Breaking Data Reduction Trade-Offs with Similarity

While compression and deduplication have been useful, we at VAST Data weren’t satisfied with traditional data reduction techniques

How Similarity Compression Works

Similarity compression, like data deduplication, starts by breaking data into blocks and using a hash function to characterize those blocks

Advantages of Global Similarity Reduction

Similarity compression reduces duplicate blocks to metadata like deduplication

TLDR

VAST’s global similarity reduction can reduce data more than the combination of data deduplication and compression used by other all-flash storage systems

What is data-aware compression?

Data-aware compression: VAST builds on its revolutionary Similarity-based data reduction capabilities by dynamically selecting the best encoding method per data type for increased data reduction

What is similarity data compression?

Similarity is VAST’s revolutionary approach to global data compression, offering a unique combination of data reduction and fine-grained pattern matching

Similarity goes beyond traditional methods by uncovering correlations in data that others miss to deliver the world’s first exabyte-scale reference compression system

What is vast data's 'Universal Storage' Platform?

NEW YORK, Oct

18, 2022 (GLOBE NEWSWIRE) -- Remote-First-Company/NEW YORK – Oct

18, 2022 – VAST Data, the data platform company for the AI-powered world, is raising the bar for secure, sustainable hyperscale data infrastructure with the latest release of its Universal Storage software platform

Small chunks of data can only be compressed about 50%, but with large blocks of data, especially similar data, much larger compression ratios can be achieved. Big data applications are typically storing many instances of similar info, such as genomics data. What Vast does is run the file's blocks through a fingerprinting hash process.

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