What Are the Pros and Cons of Running Cloudera’s Distribution for Hadoop vs Amazon Elastic MapReduce Service?
Old Quora question, but still very relevant. Top response from Jeff Hammerbacher:
Elastic MapReduce Pros:
- Dynamic MapReduce cluster sizing.
- Ease of use for simple jobs via their proprietary web console.
- Great documentation.
- Integrates nicely with other Amazon Web Services.
Cloudera Distribution for Hadoop:
- CDH is open source; you have access to the source code and can inspect it for debugging purposes and make modifications as required.
- CDH can be run on a number of public or private clouds using an open source framework, Whirr, so you’re not tied to a single cloud provider
- With CDH, you can move your cluster to dedicated hardware with little disruption when the economics make sense. Most non-trivial applications will benefit from this move.
- CDH packages a number of open source projects that are not included with EMR: Sqoop, Flume, HBase, Oozie, ZooKeeper, Avro, and Hue. You have access to the complete platform composed of data collection, storage, and processing tools.
- CDH packages a number of critical bug fixes and features and the most recent stable releases, so you’re usually using a more stable and feature-rich product.
- You can purchase support and management tools for CDH via Cloudera Enterprise.
- CDH uses the open source Oozie framework for workflow management. EMR implemented a proprietary “job flow” system before major Hadoop users standardized on Oozie for workload management.
- CDH uses the open source Hue framework for its user interface. If you require new features from your web interface, you can easily implement them using the Hue SDK.
- CDH includes a number of integrations with other software components of the data management stack, including Talend, Informatica, Netezza, Teradata, Greenplum, Microstrategy, and others. […]
- CDH has been designed and deployed in common Linux environments and you can use standard tools to debug your programs. […]
Make sure you also read Hadoop in the Cloud: Pros and Cons which addresses (almost) the same question.
A Twitter-style answer to this question would be: “Control and customization vs Automated and Managed Service”. 80 characters left to add your own perspective.
Original title and link: What Are the Pros and Cons of Running Cloudera’s Distribution for Hadoop vs Amazon Elastic MapReduce Service? ( ©myNoSQL)