IndexTank is Open Sourced, Highlighting Rise in Big Data

Nemertes Impact Analysis:

By moving its recently acquiredIndexTank cloud-based search platform to an open source model, LinkedIn (NYSE:LNKD) is underscoring the rise of big data and the accompanying challenges users face in finding what they need. IndexTank currently consists of a cloud-ready multi-tenant framework for hosting search engines, a search engine, and REST APIs for using the engine. With an open source engine (similar to Apache Lucene), enterprises will now be able to add function as they need it to meet their own specific requirements, and cloud service providers can deploy and modify the engine as well in support of their own customers and services.

Companies that do something to manage storage growth are more successful in their data center virtualization efforts, but success in managing storage is not the same as success in extracting business value from what is stored. Indexing and search tools are critical to making new volumes of data truly useful to the enterprise.

Impacts:

Enterprises: Begin planning for enterprise-wide indexing and search; and begin by engaging your users in the conversation about what they need and want to be able to do.

Vendors: Look at the rapidly expanding open-source toolsets available to you as foundations for service offerings and enhancements.

Investors: In addition to traditional database and analytics vendors such as IBM (NYSE: IBM), ORACLE (NasdaqGS: ORCL), and Microsoft (NASDAQ:MSFT), smaller players such as privately held Splunk will face competition from open sourced index and search tools.

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