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Overview DB2 UDB MongoDB MySQL Oracle SQL Server Sybase Teradata

There are a number of performance problems inherent in very large database (VLDB) environments, including:

  • Query response
  • Extraction
  • Reorgs
  • Bulk loads
  • Data (PII) masking
  • Large scale testing

Before you resort to:

  • A newer DB version or server
  • A DB or ELT appliance
  • SSD or Hadoop
  • In-memory databases
  • DB column encryption
  • A megavendor masking or TDM product

try IRI's less invasive, less expensive, less complicated, and more proven approaches available within the IRI Voracity data management platform or in the individually available software below:

Challenge
Solution
Discover, profile, and classify data in your tables Any product you license from IRI includes the free IRI Workbench GUI, built on Eclipse, which features multiple tools for data discovery in any JDBC-connected source
Integrate (and replicate) data in tables and files Filter, sort, join, aggregate, reformat and otherwise transform and target table in multiple sources and formats in IRI Voracity workflow and transform mapping diagrams
Speed long-running queries Reorder large tables in query order with IRI CoSort or the multi-table Offline Reorg wizard in the IRI Workbench GUI built on Eclipse™
Accelerate extracts for faster ETL, archive, migration, etc. Use IRI FACT (Fast Extract) to parallel-unload tables to flat files via native drivers for Oracle, DB2, Sybase, SQL Server, MySQL, Altibase, Greenplum and Teradata
Run classic (offline) reorgs, the fastest way to reorg in volume Use the Offline Reorg wizard in the IRI Workbench which combines FACT, CoSort, and your DB's bulk load utility
Direct path, bulk load flat files with pre-sorted data Sort on the primary index key wit CoSort, pipe the results to SQL*Loader, DB2 Load, bcp, etc. and rebuild the index later
Comply with HIPAA, PCI, EDPD, POPI, etc. and nullify breaches Protect PHI, PII and other sensitive data in DB columns with data masking functions in CoSort or IRI FieldShield
Generate safe, referentially correct test data from scratch Use IRI RowGen to automatically parse DDL, generate (and modify) the test data, and populate with pre-configured loader scripts
Create smaller, referentially correct or masked subsets of data in your tables Use the DB subsetting wizard in the IRI Workbench GUI
Migrate database data from one vendor platform to another Use IRI Voracity or the IRI NextForm database edition platform to discover, map, replicate, and load data in new target tables, while also being able to transform, mask, and report
IRI solutions for database acceleration problems

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