The platform's performance

Manage your data with Voracity

Faster corporate data collection in a one-stop shop

 

IRI Voracity is the only organically grown, fully integrated data lifecycle management platform and manipulation powerhouse for big and small data. It is also the only BI/DW and Data Governance stack built on CoSort and seamlessly integrated Hadoop engines. And it is supported in a free, familiar Eclipse GUI for ergonomic job design, deployment, and management.

 
A Big Data Solution Package

Processing, protection, and provision of data in old or modern Sources and formats.... ISAM, MongoDB, LDIF, HIVE, JSON, S3, PostgreSQL, MQTT, Kafka, Oracle, whatever. Migrate, transform, and mask data in Eclipse with CoSort or Hadoop MR2, Spark Storm, or Tez without programming. Rely on Voracity's proven performance for mission-critical data processing and new digital business initiatives.

Search, profile, and classify data across multiple silos. Validate, cleanse, enrich, and harmonize data to improve quality. Encrypt, pseudonymize, and redact PII, then assess the re-ID risk and anonymize quasi-identifiers. Manage metadata and master data. Use Voracity to comply with data protection laws, offload and manage your data lakes, improve the reliability of your analytics, and create secure, intelligent test data.

Voracity is powered by the proven IRI CoSort and Hadoop engines for data integration and processing and is interchangeable:

  • 6x faster than legacy tools
  • 10x faster than SQL
  • 12 times faster than BI tools

Use Voracity jobs to accelerate transformations currently orchestrated in your existing ETL tool, or to mass convert your mappings and SQL procedures to Voracity equivalents using erwin (AnalytiX DS) smart connectors. Voracity is also a productive analytical platform, that can create reports, while integrates them, feeds data into Splunk, Datadog, or KNIME, or quickly transforms data for any other visualization and analysis tool.

Accelerate VLDB unload, load, and reorgs. Offload SQL transformations into functionally equivalent but much faster Voracity jobs. Profile, classify, subset, mask, and generate referentially correct test data. Migrate and replicate DBs, capture and mask changed data, and manage cross-platform DDL and SQL. Use Voracity's free Eclipse design environment to do it all and manage all your databases in a single console.

Voracity is the only affordable data management platform that data warehouse, BI, and GRC teams can use together!

 

The competitive advantage is no longer being first to market: it's being first to create value!

„The majority of data management professionals see competitive advantages and business outcomes determined by the value of their data. However, early adoption of cheaper and more powerful data capabilities does not guarantee success (as with first-generation big data and cloud platform implementations that failed in pilot). Today, fast followers can benefit from more mature, modern, and packaged data solutions that require less programming, less integration, and less cost to perform.“

– Forrester Research, „Your business is only as fast as your data“

Voracity: The all-in-one, full-stack data solution platform

 

Voracity is what you’ve been waiting for… a single, intuitive, and affordable platform based on Eclipse™ for:

Voracity is the only Data Life Cycle Management (DLCM) and curation platform that maps the cost curves of ETL megavendors and specialized software, as well as the complexity and risk profile of separate Apache projects.

Through its free Eclipse GUI, IRI Workbench, With Voracity, users can quickly manipulate, migrate, mask, and reuse data sources—both internal and external, structured and unstructured:

 

Voracity also uniquely combines CoSort's data movement and transformation capabilities, multiple Hadoop deployment options, Eclipse ergonomics, and seamless third-party technology integrations to perform, consolidate, and accelerate a wide variety of data and business intelligence management activities.

Combine speed with voracity: DBTA

Download the PDF here.