Katta provides highly scalable, fault-tolerant information storage. It is an open source project and uses the underlying Hadoop infrastructure (to be specific, HDFS) for storing its indices and providing access to them. Katta has been in the market for the last few years and while recently, the development on Katta has been stalled, there are still many users who go with Solr-Katta-based integration for big data search. Some organizations customize Katta as per their needs and utilize its capabilities for highly scalable search. Katta brings Apache Hadoop and Solr together, bringing search across a completely distributed MapReduce-based cluster. You can read more information about Katta on http://katta.sourceforge.net/.
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You're reading from Scaling Big Data with Hadoop and Solr, Second Edition
Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar
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Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar