Memcached vs. Cassandra vs. Hazelcast

Implements the App Engine memcache API.

Caching in Rails apps.

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.

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.

Memcached is used as a simple page cache across the whole application.

Distributed cache exposed through Google App Engine APIs; use to stage fresh data (incoming and recently processed) for faster access in data processing pipeline.

Our caching needs

HTML page caching for high performances

キャッシュ

Shared object cache for sharded service backend.

Fragment caching.

Used as simple key-value cache store. To store query results etc.

Caching service.

Redis works just fine, we do not use this.

Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

• Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

• Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

Implements the App Engine Datastore API.

Stores massive data, distributed among many different clusters.

Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

Logs storage and aggregation

We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

Storage and management of Virtual Services

While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

Hot storage system

Datastax interview

某プロプライエタリなWebアプリを動かすのに必要だった(インストールと構築のみ)

Used Cassandra's CQL for database query.

Big data analytics.

As a part of big data machine learning stack (SMACK)

HazelCast is the foundation for the distributed system that hosts our APIs and intelligent workflows. We wrap the core HazelCast functions in Clojure protocols to implement micro-services on top of a coherent, single-process instance per virtual node.