Memcached vs ToroDB: What are the differences?
Memcached: High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering; ToroDB: Open source, document-oriented, JSON database that runs on top of PostgreSQL. ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.
Memcached and ToroDB can be primarily classified as "Databases" tools.
Memcached and ToroDB are both open source tools. It seems that Memcached with 8.99K GitHub stars and 2.6K forks on GitHub has more adoption than ToroDB with 10 GitHub stars and 2 GitHub forks.
What is Memcached?
What is ToroDB?
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As part of the cacheing system within Drupal.
Memcached mainly took care of creating and rebuilding the REST API cache once changes had been made within Drupal.
Distributed cache exposed through Google App Engine APIs; use to stage fresh data (incoming and recently processed) for faster access in data processing pipeline.
Memcache caches database results and articles, reducing overall DB load and allowing seamless DB maintenance during quiet periods.
Used to cache most used files for our clients. Connected with CloudFlare Railgun Optimizer.