SOURCE: DataSift


April 18, 2013 04:00 ET

DataSift Announces Strategic Alliance With Splunk

Enables Organizations to Analyze Operational, Business and Social Data Together in Splunk Storm and Splunk Enterprise

SAN FRANCISCO, CA and LONDON--(Marketwired - Apr 18, 2013) - DataSift, the leading social insight platform company, today announced a strategic alliance with Splunk. Integrating the DataSift platform into Splunk's market leading big data platforms, customers can now stream social data from DataSift into Splunk Storm® and Splunk® Enterprise, Splunk's innovative multi-tenant cloud service and on-premise platform for machine-generated big data. The result of this seamless integration is that organizations can now analyze and correlate social media data with business and operational data.

DataSift is the first social data platform to stream data into Splunk Storm and Splunk Enterprise, an accomplishment that will help organizations drive more insightful business decisions. DataSift founder and CTO, Nick Halstead, will demonstrate the integration on stage today as part of SplunkLive! London.

"The DataSift platform's ability to feed Splunk Storm and Splunk Enterprise enables companies to collect and run analytics on terabytes of social data within minutes," said Nick Halstead, founder and Chief Technology Officer, DataSift. "This unique combination of powerful cloud solutions is a great example of the best in Big Data."

DataSift is the only company with the ability to deliver social data directly into data warehousing and business intelligence platforms. A majority of social data is unstructured and often hard to filter and analyze effectively. DataSift offers powerful and sophisticated tools that help organizations extract value from this data, without having to purchase the infrastructure and analytic tools required to deal with the huge firehose of social data being generated every day. By correlating social data with operational data such as web logs, metrics and events in Splunk Storm or Splunk Enterprise, customers get an enriched view into how operational issues are affecting the social experience and vice versa. This type of contextual intelligence provides for very powerful operational analytics and social media strategies.

Organizations using DataSift and Splunk offerings together can fuel business growth by providing insight into operational, business and social data in a self-service cloud model. Benefits include:

  • Instant Delivery of Brand Insights: Correlating operational data with social data can reveal insight into brand awareness and sentiment; companies will have the ability to immediately know when operational issues impact the brand and by how much.

  • Improved Customer Engagement: With access to insight from multiple data streams, companies can develop a plan of action based on hard data. For example, a company heavily promoting an offer on a social media channel can immediately view the increased volume of page views or purchases on their site and have the ability to estimate how long to continue the promotion for their customers.

  • Savings and Simplicity: Together, DataSift and Splunk Storm enable cost and resource savings by allowing users to begin analyzing operational and social data together in the cloud without the need for servers, system administrators, Hadoop clusters or BI experts.

"The speed and ease-of-use of Splunk software combined with the power of DataSift's social data platform gives organizations transparency to their brand in social media while also providing analytics and insights about actual customer behavior from operational data. Organizations that are able to assess the impact of social media are better positioned to capitalize on new business through social or viral promotions," said Bill Gaylord, senior vice president of business development, Splunk.

"We're incredibly impressed with how Splunk has built a market-leading company by helping organizations generate insights from machine-generated big data, and we're honored to be the first company with a social data integration into Splunk Storm and Splunk Enterprise," said Rob Bailey, CEO, DataSift. "Splunk is the perfect complement to DataSift -- the marriage of disparate data to drive better, faster business decisions."

This offering is available today from DataSift and Splunk. For more information, visit

About DataSift
DataSift Inc. is the leading social insight platform, enabling companies to aggregate, filter and extract insights from the billions of public social conversations on Twitter, leading social networks and millions of other sources. DataSift provides access to both real-time and historical social data to uncover insights and trends that relate to brands, businesses, financial markets, news and public opinion. Key investors include Scale Venture Partners, GRP Partners, and IA Ventures. DataSift has offices in San Francisco, New York, and Reading, U.K. For more information, visit and follow us on Twitter @datasift.

About Splunk Inc.
Splunk Inc. (NASDAQ: SPLK) provides the engine for machine data™. Splunk® software collects, indexes and harnesses the machine-generated big data coming from the websites, applications, servers, networks and mobile devices that power business. Splunk software enables organizations to monitor, search, analyze, visualize and act on massive streams of real-time and historical machine data. More than 5,200 enterprises, universities, government agencies and service providers in over 90 countries use Splunk Enterprise to gain Operational Intelligence that deepens business and customer understanding, improves service and uptime, reduces cost and mitigates cybersecurity risk. Splunk Storm®, a cloud-based subscription service, is used by organizations developing applications in the cloud.

To learn more, please visit

Splunk, Splunk Storm and the engine for machine data are registered trademarks or trademarks of Splunk Inc., and/or its subsidiaries and/or affiliates in the United States and/or other jurisdictions. All other brand names, product names or trademarks belong to their respective holders.

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