Showing 2 open source projects for "matching engine"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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    RE2/J

    RE2/J

    linear time regular expression matching in Java

    RE2/J is a high-performance regular expression engine implemented in pure Java as a port of Google’s C++ RE2 library. Unlike traditional regex engines such as Java’s java.util.regex, PCRE, or Perl’s implementation—which rely on backtracking and can suffer from catastrophic exponential runtimes—RE2/J guarantees linear-time matching relative to input size. It achieves this efficiency by simulating all possible matches in a single pass using a nondeterministic finite automaton (NFA), ensuring predictable and safe performance even with complex patterns. ...
    Downloads: 0 This Week
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     AmberDB - NoSQL database engine in Perl

    AmberDB - NoSQL database engine in Perl

    High-performance, NoSQL engine with transactions for Perl

    AmberDB is a high-performance, flat-file NoSQL database engine for Perl built on top of Berkeley DB (DB_File). It combines the speed of flat-file storage with enterprise features: schema-driven multi-dimensional indexing, ACID-compliant transactions with Strict Two-Phase Locking (Strict 2PL), columnar faceted navigation, multilingual locale processing, and native RAM-disk caching.
    Downloads: 5 This Week
    Last Update:
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