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Gain competitive advantage and operational
efficiency with real-time streaming analytics
Enterprises today are struggling to process the overwhelming variety and volume
of fast big data to gain the business insights they need to make critical decisions.
Only DataTorrent RTS can deliver the scalability, fault-tolerance and actionable
insights that data scientists and IT organizations require. Key Benefits
• Ingest data from any
source at any volume
• Gain insight in real-time
• Take Action automatically to
drive business decisions
• Easy to use for IT and data
scientists
Data types and their frequency are
increasing (market data, click streams,
mobile devices and transaction data),
offering valuable business insights. These
insights are valuable, but only if you can
act on them right now.
Many organizations are struggling to
capture the data, analyze it in real-time
and take action to enhance their business.
What is needed is a big data platform that
provides an end-to-end solution, taking
data directly from the source(s), combining
it with existing data and delivering
actionable analysis.
Exploiting Perishable Insights Is
A Huge, Untapped Opportunity
For Firms.
-­‐-­‐The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 DataTorrent RTS is a Hadoop
2.x application with native YARN
and HDFS integration.
The DataTorrent RTS console
provides complete visibility,
management and operability
for streaming applications and
the DataTorrent RTS platform
DataTorrent RTS is powering
PubMatic's real-time Ad analytics
platform enabling publishers to
drive the highest value for their
digital media assets.
DataTorrent RTS
DataTorrent RTS is an enterprise-grade
solution that combines a high-performing,
highly scalable, fault tolerant and secure
platform, with a visual development tool
with over 450 pre-built functions to speed
up enterprise insights and action.
DataTorrent RTS
Broad Industry Use
Ingest fast big data from any source at any scale
Organizations ranging from Fortune 100 companies and
leading Internet brands across financial services,
manufacturing, telecommunications, and on-line
advertising industries (to name a few) are using
DataTorrent RTS to drive big data-driven competitive
advantage.
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Structured or unstructured data, fluctuations over time
More than 75 open-source data connectors
SLA-driven auto-scaling, fault-tolerant data ingestion
Enrich streaming data from existing data stores
Mission critical fault tolerance
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Automated stateful application recovery
Event order guaranteed for exactly once, at least once, and at most once Select DataTorrent clients are realizing the following
Dynamically update applications with no downtime
benefits:
Auto-scaling and parallel-processing ensures app needs are met
Fast time to business insight
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In-memory analytics can process billions of events per second
Linearly scalable with sub-second latency event processing
Built-in application aggregate and sliding window support
Pre-built analytics operators for rapid application development
Easy to use and operate
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Hadoop 2.x native YARN and HDFS solution
Java based flexible programming model to automate actions
Alerts & notifications to dashboards, SMS, SMTP gateways and more
Management console and drag and drop application builder
• Capturing and efficiently storing large volumes of data for
both regulatory archival, compliance, and analysis.
• Dynamically micro segmenting the market to provide highvalue, customized offers and increased revenue.
• Analyzing time-series data to detect anomalies, provide
alerts, and instant drill-down to the exact events that
comprise the anomalies.
DataTorrent provides over 450
open source Java operators for
data ingestion, analytics,
alerting, visualization, and
distribution to external systems.
The DataTorrent RTS
application builder, currently in
private beta, provides a browser
based, easy-to-use drag and
drop interface to allow data
scientists and developers to
rapidly create and deploy
streaming applications.
DataTorrent RTS enables enterprises
to process data in motion and take
action in real time
System requirements
DataTorrent RTS is a Hadoop 2.x native
application and is certified on
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Amazon EMR 3.03 or higher
Apache Hadoop 2.2 or higher
Cloudera CDH 5.0 or higher
Hortonworks HDP 2.0 or higher
MapR 4.0 or higher
Pivotal HD 2.0 or higher
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2 Floor
Santa Clara CA 95054
www.datatorrent.com