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Amazon EMR vs Amazon ElastiCache: What are the differences?
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1. **Pricing Model**: Amazon EMR charges for EC2 instances and data storage used in processing, while Amazon ElastiCache charges for the node hours consumed without a data transfer fee.
2. **Use Case**: Amazon EMR is ideal for processing large-scale data by running framework applications like Apache Hadoop or Spark, whereas Amazon ElastiCache is best suited for high-performance, read-heavy applications requiring in-memory caching.
3. **Managed Service**: Amazon EMR is a fully managed cluster platform that helps simplify running big data frameworks, while Amazon ElastiCache is a fully managed in-memory data store service.
4. **Compatibility**: Amazon EMR supports various big data frameworks like Apache Spark, Hadoop, HBase, etc., while Amazon ElastiCache supports two caching engines, Redis and Memcached.
5. **Data Processing**: Amazon EMR is used for processing and analyzing vast amounts of data using distributed computing, whereas Amazon ElastiCache is used for caching frequently accessed data to improve application performance.
6. **Networking**: Amazon EMR leverages its own cluster network for communication and data transfer within the cluster, while Amazon ElastiCache does not manage the underlying networking for data transfers and relies on the default VPC networking configuration.
In Summary, Amazon EMR focuses on processing and analyzing large-scale data using distributed computing, while Amazon ElastiCache specializes in providing high-performance, in-memory caching for read-heavy applications.
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Learn MorePros of Amazon ElastiCache
Pros of Amazon EMR
Pros of Amazon ElastiCache
- Redis58
- High-performance32
- Backed by amazon26
- Memcached21
- Elastic14
Pros of Amazon EMR
- On demand processing power15
- Don't need to maintain Hadoop Cluster yourself12
- Hadoop Tools7
- Elastic6
- Backed by Amazon4
- Flexible3
- Economic - pay as you go, easy to use CLI and SDKs3
- Don't need a dedicated Ops group2
- Massive data handling1
- Great support1
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What is Amazon ElastiCache?
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 Amazon EMR?
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
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What companies use Amazon ElastiCache?
What companies use Amazon EMR?
See which teams inside your own company are using Amazon ElastiCache or Amazon EMR.
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What tools integrate with Amazon ElastiCache?
What tools integrate with Amazon EMR?
What tools integrate with Amazon ElastiCache?
What tools integrate with Amazon EMR?
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What are some alternatives to Amazon ElastiCache and Amazon EMR?
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Memcached
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.
Azure Redis Cache
It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.