IRI Voracity Platform

 

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Overview IRI Voracity (Platform) IRI Data Manager (Suite) IRI Data Protector (Suite)

IRI Voracity - Total Data Management

Solutions: BI, Analytics & AI, Big Data, Data Governance, Data Integration, Data Masking, Data Migration, Data Transformation, DB Operations, Metadata & MDM, Data Wrangling, Legacy Sort Replacements, Test Data.
Products: Data Manager, Data Protector, Ripcurrent, Voracity, CoSort, FACT, NextForm, RowGen, FieldShield, CellShield, DarkShield, Workbench.

Voracity: Total Data Management
DBTA Magazine Names IRI Voracity a Trend-Setting Product!

The Power of the Platform

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.

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!

IRI Voracity - Total Data Management

Solutions: BI, Analytics & AI, Big Data, Data Governance, Data Integration, Data Masking, Data Migration, Data Transformation, DB Operations, Metadata & MDM, Data Wrangling, Legacy Sort Replacements, Test Data.
Products: Data Manager, Data Protector, Ripcurrent, Voracity, CoSort, FACT, NextForm, RowGen, FieldShield, CellShield, DarkShield, Workbench.

Voracity: Total Data Management
DBTA Magazine Names IRI Voracity a Trend-Setting Product!

The Power of the Platform

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.

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!

Voracity Use Cases

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. Monetize information faster.

Data Governance

Find, classify, de-identify and risk-score PII to comply with privacy laws. Capture changes, improve data quality, virtualize test data, track lineage, and anonymize LLMs.

ETL Modernization

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

Test Data Management

Synthesize, pre-sort and load structurally and referentially correct test schema. Design, validate, and virtualize realistic test files, applications, and reports.

User Profiles

CDOs: Need an accessible, standard foundation for digital business.

CFOs: Want a viable alternative to ETL megavendors.

CISOs: Want PII found, masked, and audited.

AI Engineers: Clean, anonymized data to feed LLM models.

Architects: Simplified ways to design and run big data jobs.

Data Scientists: Faster location, cleaning, and analysis of disparate data.

Developers: Build, speed, test, and benchmark solutions.

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 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. 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?
Voracity often excels by wrangling, cleansing, and masking data at the edge or in-stream, ensuring that only "clean" data reaches the analytics layer, speeding up time-to-insight for AI models.
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