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IRI Voracity - Total Data Management

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Solutions

  • BI, Analytics & AI
  • Big Data
  • Data Governance
  • Data Integration
  • Data Masking
  • Data Migration
  • Data Transformation
  • DB Operations
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  • Data Wrangling
  • Legacy Sort Replacements
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Products

  • IRI Data Manager (Suite)
  • IRI Data Protector (Suite)
  • IRI Voracity (Platform)
  • IRI CoSort (Transformation)
  • IRI FACT (Extraction)
  • IRI NextForm (Migration)
  • IRI RowGen (Test Data)
  • IRI FieldShield (Masking)
  • IRI CellShield (Masking)
  • IRI DarkShield (Masking)
  • IRI Ripcurrent (CDC)
  • IRI Workbench (GUI)

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Faster Data Mastering Solutions

Voracity is the only affordable, high-performance, all-in-one on-premise 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 and classify enterprise data sources. Speed or leave legacy DBs and ETL tools. Cleanse and blend data for analytics and AI. Find and 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 multithreading, load balancing, task consolidation via CoSort, and AI-enabled data discovery in semi- and unstructured sources.

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Voracity Use Cases

Big Data Analytics

big data analytics

Wrangle and prepare data for AI models and BI tools, support textual ETL and CDR DWs, analyze click and IoT streams, and speed time to insight.

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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 over time.

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Data Governance

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Find, classify, mask, and risk-score PII to comply with privacy laws. Capture changes, improve quality, track lineage, and manage metadata.

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Test Data Management

test data management

Synthesize and load referentially correct test schema. Preview ETL mappings and virtualize realistic test files and reports.

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Who\'s Using Voracity Find Out

Central Control of Data

Discover

Integrate

Migrate

Govern

Analyze

Curate

  • Profile & Acquire
  • Cleanse & Unify
  • Protect & Audit
  • Process & Provide
  • Express & Predict
  • Convert & Copy
  • Publish & Share

Featured Insights & Resources

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Voracity as a Production Analytic Platform Learn More

Frequently Asked Questions (ETL vs. ELT)

1. What is the difference between ETL and ELT?
ETL (Extract, Transform, Load) transforms data in a separate processing engine before loading it into the target. ELT (Extract, Load, Transform) loads raw data into the target (like a cloud data warehouse) and uses the target\'s engine to perform transformations.
2. Why does IRI Voracity prefer performing transformations outside the database?
Voracity leverages the high-performance CoSort engine to transform data in the file system. This "seamless ETL" approach often outperforms in-database (ELT) processing by reducing overhead on expensive database resources and avoiding vendor lock-in.
3. Can Voracity support both ETL and ELT architectures?
Yes. While Voracity is optimized for high-performance ETL using its own CoSort engine or Hadoop, it provides the flexibility to support ELT patterns where data is loaded first and transformed using SQL push-down or other methods within the target environment.
4. How does the choice between ETL and ELT affect cost?
ELT can lead to higher costs due to increased consumption of database compute resources (especially in cloud warehouses). Voracity’s ETL approach helps control costs by offloading processing to less expensive, high-speed file system engines.
5. Which approach is better for Big Data and AI projects?
It depends on the volume and velocity. Voracity often excels in Big Data and AI by wrangling, cleansing, and masking data at the edge or in-stream, ensuring that only "clean" data reaches the analytics layer, which speeds up time-to-insight.
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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
  • Architects who want a simpler way to design and run big data jobs
  • Data Scientists who need to locate, clean, and analyze disparate data faster
  • AI Engineers who need clean, anonymized data to feed LLM models
  • Developers who need to build, speed, test, and benchmark solutions
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