A thin PSR-6 cache wrapper for PHP with a generic interface to various backends, emphasizing cache tagging and indexing.
Apix Cache is a generic, thin cache wrapper for PHP that provides a PSR-6 interface to various caching backends. It emphasizes cache tagging and indexing, enabling operations like batch deletion of all entries matching specific tags, such as version strings.
PHP developers building applications that require flexible, standards-compliant caching with advanced tagging capabilities across multiple backend systems like Redis, APCu, MongoDB, or SQL databases.
Developers choose Apix Cache for its strong focus on cache tagging for batch operations, full PSR-6 compliance ensuring interoperability, and extensive support for diverse backends and serializers, all backed by rigorous testing.
A thin PSR-6 cache wrapper with a generic interface to various caching backends emphasising cache tagging and indexing.
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Fully compliant with the PSR-6 caching standard, ensuring interoperability with other cache implementations, as stated in the key features and README badges.
Supports multiple backends including APCu, Redis, MongoDB, Memcached, SQL databases, filesystem, and runtime storage, with detailed configurations for each in the README's backend sections.
Emphasizes cache tagging and indexing for batch operations like deleting all entries with specific tags, demonstrated in code examples such as save() with tags and clean().
Continuously integrated against various PHP versions and backend services with high code coverage, as shown by Travis CI and Scrutinizer badges in the README.
Requires manual instantiation and configuration of backend clients (e.g., Redis, PDO, Memcached), which can be error-prone and time-consuming compared to drop-in solutions.
PSR-16 (SimpleCache) interface is not included out of the box; it requires an additional extension (apix/simple-cache), adding dependency management overhead.
Has fewer community contributions and third-party integrations compared to more popular caching libraries, as indicated by the call for pull requests and stars in the README.
The abstraction layer and features like tagging may introduce slight overhead, especially with filesystem or database backends, though not explicitly benchmarked in the README.