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Amazon EMR vs DATOS: What are the differences?
Amazon EMR: Distribute your data and processing across a Amazon EC2 instances using Hadoop. It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics; DATOS: Acquiring and management of the clickstream data. It is focused on acquiring and management of the clickstream data We know everything about clickstream data - we can build custom panels, we can predict users’ behavior or we can deliver just raw data.
Our goal - to be flexible and useful for our customers..
Amazon EMR and DATOS can be primarily classified as "Big Data as a Service" tools.
Some of the features offered by Amazon EMR are:
- 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.
On the other hand, DATOS provides the following key features:
- Clickstream Data
- Web-traffic Data
- Web Scraping Data
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Learn MorePros of Amazon EMR
Pros of DATOS
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
Pros of DATOS
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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.
What is DATOS?
It is focused on acquiring and management of the clickstream data.
We know everything about clickstream data - we can build custom panels, we can predict users’ behavior or we can deliver just raw data.
Our goal - to be flexible and useful for our customers.
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What companies use Amazon EMR?
What companies use DATOS?
What companies use DATOS?
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What tools integrate with Amazon EMR?
What tools integrate with DATOS?
What tools integrate with Amazon EMR?
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What are some alternatives to Amazon EMR and DATOS?
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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.
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.
Azure HDInsight
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.