Conflux is a code-free data integration platform that provides seamless support for batch processing with Hadoop and Spark as well as stream processing with Storm. It allows users to design, build, deploy and monitor integrated data applications without coding. Conflux has been used by telecom and healthcare customers to create workflows that calculate real-time metrics and improve asset utilization.

1. CONFLUX - INDUSTRY’S ONLY WEB-BASED,
CODE-FREE, FAST DATA INTEGRATION PLATFORM
WITH SEAMLESS OUT-OF-THE-BOX SUPPORT FOR
HADOOP, STORM AND SPARK
Data. Integrate. Accelerate

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A Snapshot
Milestones
 Product Vision: Oct 2013
 Platform Validation: Mar 2014
 Limited Release: Jun 2014
 Enterprise Batch Version: Oct 2014
 GA with Streaming Support: Oct 2015
Target Markets
 Technology vendors
 Large and mid-size enterprises
 Service providers
 Analytics technology vendors
Company
 Team: 25
 Locations
 Irving, TX (HQ)
 Hyderabad, India (Dev)
 Boston, MA (Sales)
Engagements
 Telecom
 Healthcare
 Industrial Goods
 Energy
 Transportation / Logistics

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Why Data Integration?
Initial Problem Scope
 Too many sources of data and formats
 Expensive storage and processing costs
 Rigid BI tools
Too late in revealing insights & making
decisions
Advent of new Infrastructure Tech
 Cloud and HDFS
 Hadoop, Storm, NoSQL and similar
 Analytics Tools
Overall cost reduction & better insights
Pilots and New Challenges
 Complex systems integration efforts
 Custom coding
 Technical skills that are hard to find
Inefficiency shifted to integration
What Next for Adoption?
 Tools to integrate sources, technologies
and develop applications
 Leveraging data science
 Predictive Analytics
Reveal insights quickly & make
decisions for competitive advantage

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Need, Opportunity and Solution
 Integrated data-application development platform (Design, Build, Deploy, Monitor)
 Web-based / low-footprint /code-free integration platform
 Out of the box support for processing batch and real-time data
Solution
 Reduce complex systems integration
 Eliminate custom coding and manage skill gap issue
Need
Opportunity
 Develop data-driven applications quickly
 Integrate data and technologies to deliver a cohesive IoT/Data/Applications stack
 Reduce data movement costs and complexity
 Reduce effort
 Improve process efficiency

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Why Apervi?
Batch - Hadoop/Spark Realtime - Spark/Storm
Solutions – Verticals/Functions Licensing/API/Value-Added
 Seamless support for batch &
streaming – on Hadoop, Spark and
Storm
 Collaborative environment to design,
build, deploy and monitor data-
applications
 Low non-intrusive technology
footprint
 Extensible data workflows and
custom connectors
 Effective monitoring and intelligent
operational insights.
 Embeddable into Solutions – Entire underlying tech can be licensed
 Solution accelerators – Ex: EDW Modernization, Real-time Operational Reporting, Log
Analytics
 Differentiated Storm offering
Telecom, Healthcare
Log Ingestion, EDI, Analytics
ML Vendors
Asset Management

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Development/Integration with Conflux

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Where do we fit in an IoT/Big Data Stack
Devices / Sensors / Processors
Integration & Orchestration Engine
Network Connectivity
Big Data Platform
Application Development Platform
Storage & Data Sinks
Analytic & Monitoring Products
External
Sources
&
Information
Systems

8. Copyright © Apervi Inc. 2015 confidential all rights reserved
Telecom – Increased subscriber revenue with near
real-time campaigns…
Solution provider to telecom operators serving 450+ million mobile subscribers
Changes to target conditions for campaigns took days and were channeled though IT
ETL processing took 8+ hrs, with a delay of at least 1 day in targeting subscribers
Challenge
Deployed a multi-node Hadoop cluster and a Storm cluster
Created and deployed over 25 data integration workflows
to calculate over 70 KPIs in less than 2 person-months
Solution
Business can directly update campaign conditions
ETL process completed in 15 minutes
Providers able to target subscribers with campaigns
in near real-time
Outcome

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Healthcare – Improved medical equipment asset
utilization and reduced rental costs at a hospital…
Leverage available intelligent wireless technology at hospitals to gather asset data
Help hospitals improve asset tracking and asset utilization
Challenge
Architecture included Storm, Cassandra, queues,
and RDBMS
Our Storm topology correlated different types of
events from sensors to determine real-time
information on assets
Solution
Near real-time tracking resulted in 30% increase in utilization
Yearly rental costs projected to reduce by up to 20%
Outcome