Gain competitive advantage and operational efficiency with real-time streaming analytics

 

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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.

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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.

 Exploiting Perishable Insights Is A Huge, Untapped Opportunity For Firms.  -­‐-­‐The  Forrester  Wave™:  Big  Data  Streaming  Analytics  Platforms,  Q3  2014    

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

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 enables enterprises to process data in motion and take action in real time

DataTorrent RTS

Ingest fast big data from any source at any scale • 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 • Automated stateful application recovery • Event order guaranteed for exactly once, at least once, and at most once • Dynamically update applications with no downtime • Auto-scaling and parallel-processing ensures app needs are met

Fast time to business insight • 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 • 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

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Broad Industry Use

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.

Select DataTorrent clients are realizing the following benefits:

• Capturing and efficiently storing large volumes of data for both regulatory archival, compliance, and analysis.

• Dynamically micro segmenting the market to provide high-value, 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.

System requirements DataTorrent RTS is a Hadoop 2.x native application and is certified on

• 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

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.