Hadoop vs. IBM DB2 vs. CrateIO
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GitHub Stats |
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Description |
What is 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.
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What is IBM DB2?DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.
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What is CrateIO?Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.
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Want advice about which of these to choose?Ask the StackShare community!Ask a Question |
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Pros |
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Cons |
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Companies |
What companies use Hadoop?
275 companies on StackShare use Hadoop
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What companies use IBM DB2?
14 companies on StackShare use IBM DB2
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What companies use CrateIO?
0 companies on StackShare use CrateIO
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Integrations |
What tools integrate with Hadoop?
15 tools on StackShare integrate with Hadoop
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What tools integrate with IBM DB2?
13 tools on StackShare integrate with IBM DB2
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What tools integrate with CrateIO?
2 tools on StackShare integrate with CrateIO
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What are some alternatives to Hadoop, IBM DB2, and CrateIO?
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Latest News |
Elasticsearch for Apache Hadoop 6.2.0 Released
February 06, 2018
How to Get Hadoop Data into a Python Model
December 20, 2017
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
November 14, 2017
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Related Comparisons
Reviews of Hadoop, IBM DB2, and CrateIO
How developers use Hadoop vs IBM DB2 vs CrateIO
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Pinterest uses Hadoop
The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.
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Yelp uses Hadoop
in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).
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Pinterest uses Hadoop
The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...
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