Katta provides highly scalable, fault-tolerant information storage. It is an open source project and uses the underlying Hadoop infrastructure (to be specific, HDFS) to store its indices and provide access to it. Katta has been in the market for the last few years. Recently, development on Katta has been stalled; yet, there are 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, enabling search supported by distributed MapReduce cluster. You can read more information about Katta on http://katta.sourceforge.net/.
Scaling Apache Solr
By :
Scaling Apache Solr
By:
Overview of this book
Table of Contents (18 chapters)
Scaling Apache Solr
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Understanding Apache Solr
Getting Started with Apache Solr
Analyzing Data with Apache Solr
Designing Enterprise Search
Integrating Apache Solr
Distributed Search Using Apache Solr
Scaling Solr through Sharding, Fault Tolerance, and Integration
Scaling Solr through High Performance
Solr and Cloud Computing
Scaling Solr Capabilities with Big Data
Sample Configuration for Apache Solr
Index
Customer Reviews