Search Results for "parallel compression"
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Showing 4 open source projects for "parallel compression"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
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Reliable PostgreSQL Backup & Restore
Reliable PostgreSQL backup and restore
pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. Compression is usually the bottleneck during backup operations but, even with now-ubiquitous multi-core servers, most database backup solutions are still single-process. pgBackRest solves the compression bottleneck with parallel processing. Utilizing multiple cores for compression makes it possible to achieve 1TB/hr raw throughput even on a 1Gb/s link. ... -
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pigz for windows
pigz (parallel gzip) for OS Windows
Based on source from http://zlib.net/pigz/ -
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fpsc is a Fast Parallel Stream Compressor. It can use multiple CPUs to compress (gzip or bzip2) a data stream. (from stdin to stdout) It is built to achieve maximum throughput, everything else (especially memory usage) can be sacrified.
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czip is a unix based utility written for the cell broadband engine. It allows its users to compress files in gzip format. It uses Jean-loup Gailly's deflate algorithm and is based in part on pigz, Mark Adlers parallel version of zlib.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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