HBase vs. Hadoop vs. CouchDB
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Hacker News, Reddit, Stack Overflow Stats |
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Description |
What is HBase?Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
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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 CouchDB?Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
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Want advice about which of these to choose?Ask the StackShare community! |
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Pros |
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Cons |
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Companies |
What companies use HBase?
62 companies on StackShare use HBase
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What companies use Hadoop?
283 companies on StackShare use Hadoop
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What companies use CouchDB?
69 companies on StackShare use CouchDB
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Integrations |
What tools integrate with HBase?
3 tools on StackShare integrate with HBase
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What tools integrate with Hadoop?
16 tools on StackShare integrate with Hadoop
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What tools integrate with CouchDB?
5 tools on StackShare integrate with CouchDB
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What are some alternatives to HBase, Hadoop, and CouchDB?
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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
Interest Over Time
Reviews of HBase, Hadoop, and CouchDB
How developers use HBase vs Hadoop vs CouchDB
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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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Pinterest uses HBase
The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.
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King's Digital Lab uses CouchDB
Document (JSON) DB.
- - queries must be pre-defined as views (not as flexible as query formulation on the fly)
- - community and ecosystem not as large as mongodb
- + PouchDB is an excellent JS library to interact with CouchDB or even work in offline-then-sync moce
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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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Smileupps uses CouchDB
By being built on, of, in and around CouchDB, Smileupps offers to its customers secure and reliable CouchDB hosting and a CouchDB-based app store to build and sell serious business-enabled web applications
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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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