Amazon EMR
Balaji Kasala
Jun 23, 2020
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Amazon EMR
DatabasesWhat is Amazon EMR?
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Amazon EMR is a tool in the Databases category of a tech stack.
Key Features
Elastic- Amazon EMR enables you to quickly and easily provision as much capacity as you need and add or remove capacity at any time. Deploy multiple clusters or resize a running clusterLow Cost- Amazon EMR is designed to reduce the cost of processing large amounts of data. Some of the features that make it low cost include low hourly pricing, Amazon EC2 Spot integration, Amazon EC2 Reserved Instance integration, elasticity, and Amazon S3 integration.Flexible Data Stores- With Amazon EMR, you can leverage multiple data stores, including Amazon S3, the Hadoop Distributed File System (HDFS), and Amazon DynamoDB.Hadoop Tools- EMR supports powerful and proven Hadoop tools such as Hive, Pig, and HBase.
Amazon EMR Pros & Cons
Pros of Amazon EMR
- ✓On demand processing power
- ✓Don't need to maintain Hadoop Cluster yourself
- ✓Hadoop Tools
- ✓Elastic
- ✓Backed by Amazon
- ✓Economic - pay as you go, easy to use CLI and SDKs
- ✓Flexible
- ✓Don't need a dedicated Ops group
- ✓Great support
- ✓Massive data handling
Cons of Amazon EMR
No cons listed yet.
Amazon EMR Alternatives & Comparisons
What are some alternatives to Amazon EMR?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
