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The Power of the Platform

Voracity: Total Data Management

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DBTA Magazine Names IRI Voracity a Trend-Setting Product!Read More

Faster Data Mastering Solutions

Voracity is the only high-performance, all-in-one data management platform. Control your data in every stage of the lifecycle, and extract maximum value from it.

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Where Big Data, DW/BI, and Governance Converge

Profile enterprise data sources. Speed or leave legacy DBs and ETL tools. Cleanse and blend data for analytics. Mask PII. Create and manage test data. Simplify, scale, and save on big data projects. Do it all with Voracity!

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Multiple Sources, Functions, Engines, and Design Options

Voracity combines data discovery, integration, migration, governance, and analytics in a managed metadata framework built on Eclipse™. Leverage the proven power of IRI CoSort, Hadoop MR2, Spark, Spark Stream, Storm, and Tez.

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Voracity Use Cases

Big Data Analytics

big data analytics

Power CDR DWs, clickstream and IoT analytics, plus billing and batch jobs. Learn more from your data and harness the monetary value of information.

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ETL Modernization

data speed

Combine and optimize data transformations with CoSort or Hadoop engines. Speed legacy ETL tools, or leave them by converting their mappings automatically.

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Data Governance

a judicial building

Find, classify, de-ID and risk-score PII to comply with privacy laws. Capture changes, improve quality, virtualize test data, track lineage, manage master and metadata, etc.

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Who's Using Voracity Find Out

Central Control of Data


  • Search & Classify
  • Create Metadata
  • Dark Data Search
  • DB Search & Stats
  • Integrity Check
  • E-R Diagrams
  • File Search & Stats
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  • Greenfield ETL
  • Speed Legacy ETL
  • Convert ETL Jobs
  • Single I/O
  • Federate & Report
  • SCD, CDC & DQ
  • CoSort or Hadoop
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  • Data Types
  • File Formats
  • Endianness
  • Reformat Records
  • Replicate Data
  • Switch Databases
  • Mapping Rules
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  • Mask PII/PHI
  • Cleanse & Enrich
  • Unify Data
  • Audit Changes
  • Manage Metadata
  • Subset Databases
  • Create Test Data
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  • Display in Splunk™ et al
  • Boost© & C Stats
  • Segment & Predict
  • Capture Changes
  • Spot Trends
  • Flow into KNIME
  • Report or Wrangle
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  • Profile & Acquire
  • Cleanse & Unify
  • Protect & Audit
  • Process & Provide
  • Express & Predict
  • Convert & Copy
  • Publish & Share
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Voracity Collateral

Voracity as a Production Analytic PlatformLearn More

What Others Are Reading

One Platform: Many Solutions

Data stuff

Dataversity's Take: Data Governance, Analytics, and Data Integration All in One

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ETL vs. ELT: We Posit, You Judge

an ETL and ELT diagram

Transforming data inside or outside a database? Weigh speed, support, and spend

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Insights Success: Voracity Cover

Voracity on the cover of Insights Success

Learn the history of Voracity and why it is a top Hadoop solution provider

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Voracity on LinkedIn

Combined Voracity and LinkedIn logo

Join our data management discussion group

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DI White Paper

Data Integration White Paper Cover

Compare ODS/EDH, EDW/LDW, and Data Lake architectures

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Multi-Source PII Masking

DBTA Datamasking

Voracity-included "shield" tools classify, locate, de-identify, and audit sensitive data everywhere

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Machine Learning Inside

DBTA IRI Machine Learning

Learn about these successful use cases and share your machine learning requirements with us

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Production Analytic Platform

Production Analytic Platform

Voracity blends the best of the data warehouse and lake by combining data prep with analytics

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An App for Splunk

Splunk-IRI App

Learn what the Voracity Data Munging and Masking App for Splunk does, and how it works

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Voracity User Profiles

  • CDOs who need an accessible, standard foundation for digital business
  • CFOs who want a viable alternative to ETL megavendors and multiple tools
  • CIOs who see the inefficiency of in-DB transforms and legacy ETL steps
  • CISOs who want PII and other sensitive data found, masked, and audited
  • DBAs who want to accelerate, migrate, and prototype VLDBs, EDWs and apps
  • DW/BI and big data architects who want a simpler way to design and run jobs
  • Business users who need unified and reliable views of master/customer data
  • Data scientists who need to locate, clean, and analyze disparate data faster
  • Developers who need to build, speed, test, and benchmark their solutions
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Discover, Integrate, Migrate, Govern, Analyze

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