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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.
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Learn MorePros of Altiscale
Pros of Amazon EMR
Pros of Altiscale
- An ops team comes with it, so you're free to analyze3
- SOC2, PCI, HIPAA, Kerberos3
- The easiest, lowest cost, highest performing option3
- Hadoop ops experts run it all for you, don't need ops3
- Our data sci & analysts would scream if went back toEMR3
- Automated compute bursting3
- Super elastic, scalable, secure3
- Optimized cloud gives faster results, better completion2
- Simple, easy to use UI - Data Navigator is great2
- Easier pricing. No node worries. No surprise bills2
- Real domain experts running hadoop@scale, great service1
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 Altiscale?
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.
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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Jobs that mention Altiscale and Amazon EMR as a desired skillset
What companies use Altiscale?
What companies use Amazon EMR?
What companies use Altiscale?
See which teams inside your own company are using Altiscale or Amazon EMR.
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What tools integrate with Altiscale?
What tools integrate with Amazon EMR?
What tools integrate with Altiscale?
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What are some alternatives to Altiscale and Amazon EMR?
Google BigQuery
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure.
Load data with ease. Bulk load your data using Google Cloud Storage or stream it in.
Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Stitch
Stitch is a simple, powerful ETL service built for
software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
Cloudera Enterprise
Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.