Altiscale vs Amazon EMR: What are the differences?
Altiscale: Hadoop as a Service. we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning; Amazon EMR: Distribute your data and processing across a Amazon EC2 instances using Hadoop. Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.
Altiscale and Amazon EMR can be categorized as "Big Data as a Service" tools.
Some of the features offered by Altiscale are:
- Hadoop Dialtone
- “Infinite” Hadoop
- A Proactive Hadoop Helpdesk
On the other hand, Amazon EMR provides the following 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 cluster
- Low 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.
"Our data sci & analysts would scream if went back toEMR" is the primary reason why developers consider Altiscale over the competitors, whereas "On demand processing power" was stated as the key factor in picking Amazon EMR.