Discover Insights Faster. Zoomdata Search Index.

Everyone is familiar with the search paradigm. You use search to locate information via search engines. You use search to buy things on eCommerce websites. Search lets us filter through large data sets of hotel rooms, airline flights, or product reviews to get the best deal.

And, of course, those consumer experiences create expectations in the workplace. Now business users and data analysts expect to search their enterprise data.

Zoomdata's magic is that it is built for the unstructured Big Data world. Rather than stripping away rich data models in Hadoop, MongoDB or Cassandra, Zoomdata embraces them.

Matt Asay, ReadWrite*


Using a search index technology like Apache Solr, Elasticsearch, or Cloudera Search is a great way to enable access to big data in the enterprise. Of course, a search index can deliver fast access to unstructured or semi-structured information: blog posts and comments, customer product reviews, machine logs, JSON snippets. But a search index can also be very effective with structured data. Search provides fast queries of data without having to anticipate specific access patterns and build traditional indexes ahead of time.

Zoomdata lets you connect to and visualize data in a search index as easily as any other data source. But more than that, Zoomdata’s Smart Connectors use the native APIs of search providers like Apache Solr, Elasticsearch, and Cloudera Search to take advantage of the special functionality that search provides. Users enter full-text search terms and results comes back in milliseconds. Zoomdata leverages the built-in facets capability of search indexes for the fast filtering experience users expect.

Search technologies that work seamlessly with Zoomdata include:

Apache Solr

Apache Solr is a standalone enterprise search server with a REST-like API. Powered by Lucene™, Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration, and more. 


Elasticsearch is a distributed, scalable, real-time search and analytics engine. The core of its intelligent search capabilities comes from Lucene. Wikipedia uses Elasticsearch to provide full-text search with highlighted search snippets, search-as-you-type, and did-you-mean suggestions. The Guardian uses Elasticsearch to combine visitor logs with social-network data to provide real-time feedback to its editors about the public’s response to new articles. 

Cloudera Search

Cloudera Search brings full-text, interactive search and scalable, flexible indexing to CDH and your enterprise data hub. Powered by Apache Hadoop and Apache Solr, the enterprise standard for open source search, Cloudera Search brings scale and reliability for a new generation of integrated, multi-workload search. Through its unique integrations with CDH, Cloudera Search gains the same fault tolerance, scale, visibility, security, and flexibility provided to other enterprise data hub workloads.

Featured Resources

Cloudera, Solr, & Elasticsearch Visualization

Use Zoomdata to visualize search index data from Apache Solr, Elasticsearch, or Cloudera Search. Learn more today!


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