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Xtreme Compression, Inc. is a software design consultancy with special expertise in compressing structured data. We apply our proprietary algorithms and source code to compress structured data whenever performance beyond the reach of conventional methods is required. <br>
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Xtreme Compression is a radical data compression technology that delivers phenomenal performance on discrete structured data. It achieves compression ratios and decompression speeds that are beyond the reach of conventional methods. Xtreme Compression features a set of proprietary data class-specific algorithms that exploit the structure and complexity of multidimensional data. Our technology is content- aware, cognizant of semantics, and capable of decorrelating along and across multiple dimensions simultaneously. Xtreme Compression is less subject than conventional technology to information theory's compressibility limits. That's why it outperforms the decades-old, one-dimensional, 'industry standard' conventional methods still used to compress structured data.
Content-Aware Compression of Structured Data What We Are and What We Do Xtreme Compression, Inc. is a software design consultancy with special expertise in compressing structured data. We apply our proprietary algorithms and source code to compress structured data whenever performance beyond the reach of conventional methods is required. Why We're Different, Smarter, and Better We're different because our technology is content-aware, semantics-cognizant, and targets structured data. We're smarter because we recognize and exploit the structure of redundancy.We're better because we deliver more compression and faster decompression simultaneously. Applications Xtreme Compression targets in-memory DBMSs, analytics, business intelligence, data mining, data warehousing, and other read-intensive applications with discrete structured data; plus wireless devices, mobile apps, and infrastructures constrained by bandwidth, latency, memory, and/or power.
Xtreme Compression's proprietary technology reduces storage costs and speeds data transfer and program execution. Here is how: By concentrating more information into every physical word read from memory and processed by the CPU, reducing the influence of the ‘von Neumann bottleneck’ In SAN/NAS-type applications, by reducing spindle count to save power By reducing transmission time over links, networks, and other expensive-to-scale infrastructure components By storing more information in internal caches to improve data locality and cache hit rates By increasing effective disk cache size to retrieve more real information from hard disk per read operation By allowing storage on faster media (i.e., RAM vs hard disk, hard disk vs CD or DVD, local hard disk vs network, etc.) By permitting more access data structures and paths for a given amount of storage
Attribute Vector Coding Attribute vector coding is a content-aware vector transform method for compressing multidimensional database tables. It works by recognizing semantic features in data. It breaks new ground by capturing and exploiting the innumerable relationships, functional dependencies, and statistical correlations in data without having to solve the intractable problem of explicitly identifying and defining them as individual conditional mutual information terms. Attribute vector coding recognizes the structure of redundancy, and produces complex structured symbols that are fast to decompress. It achieves unequaled compression by systematically modeling data at high levels of abstraction, across dimensions and data types. That makes it far less subject than conventional methods to compressibility limits imposed by information theory. Wordencoding Wordencoding is a 0-order (context-independent) variable-to-variable-length algorithm for compressing text strings in database table record fields. It achieves compression close to the 0-order source entropy without sacrificing speed. It does that by efficiently maximizing effective combined data locality over compressed record fields, lexicons holding strings, and access data structures. Wordencoding deals explicitly with the structure and statistics of the data by recognizing that redundancy in text strings exists at multiple levels of granularity.
Performance of Xtreme Compression on TPC-H Table Records Compression Ratios: Xtreme Compression vs Oracle 11g vs IBM DB2 on 600,000,000 Records Compression Ratios: Xtreme Compression vs 10 Common Compressors on 60,000,000 Lineitem Records 1. 2.
Xtreme Compression, Inc. is a software design consultancy specializing in compressing discrete structured data for fast real-time access. On a consulting basis, we apply our proprietary algorithms and source code to compress structured data whenever performance beyond the reach of conventional methods is required. Have 'impossible' requirements? Let us engineer a beyond-the-state-of-the-art solution for you. Call (571) 235 Call (571) 235- -8787 Xtreme Compression, Inc. 21798 Green Stable Square #204 Ashburn, VA 20147-6781 8787
For more information please visit http://www.xtremecompression.com