DataSift Announces Strategic Alliance With Splunk

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) -- 04/18/13 --  
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(R) and
Splunk(R) 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(TM). Splunk(R) 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(R), 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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