Amazon ElastiCache vs Apache Spark: What are the differences?
What is Amazon ElastiCache? Deploy, operate, and scale an in-memory cache in the cloud. ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.
What is Apache Spark? Fast and general engine for large-scale data processing. Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Amazon ElastiCache belongs to "Managed Memcache" category of the tech stack, while Apache Spark can be primarily classified under "Big Data Tools".
Some of the features offered by Amazon ElastiCache are:
- Support for two engines: Memcached and Redis
- Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.
- Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.
On the other hand, Apache Spark provides the following key features:
- Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk
- Write applications quickly in Java, Scala or Python
- Combine SQL, streaming, and complex analytics
"Redis" is the primary reason why developers consider Amazon ElastiCache over the competitors, whereas "Open-source" was stated as the key factor in picking Apache Spark.
Apache Spark is an open source tool with 22.3K GitHub stars and 19.3K GitHub forks. Here's a link to Apache Spark's open source repository on GitHub.
According to the StackShare community, Amazon ElastiCache has a broader approval, being mentioned in 342 company stacks & 79 developers stacks; compared to Apache Spark, which is listed in 263 company stacks and 111 developer stacks.
What is Amazon ElastiCache?
What is Apache Spark?
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I use a micro elesticache instance as a shared session store between the Node.js clusters of dojo.zerotoherojs.com and nightly.zerotoherojs.com
Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.
Audit the ElastiCache configurations for best practices and standards.