Push: ETL, Reorganizations & Migrations
Fastest DB unload
Speed up data acquisition
FACT accelerates Unloads up to 7x faster with parallel query technology. Performance scales linearly, allowing you to extract billions of rows in minutes.
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Many DBs, one unloader
FACT works with Oracle, MySQL, DB2 UDB, Sybase, SQL Server and others. Create simple job scripts manually or automatically in the GUI of the IRI Workbench, which is based on Eclipse™.
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Data ready for all
FACT generates flat files that any application can use. You can append and feed ETL operations and offline reorganizations, archive your data, your Migrate databases and much more.
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References
FACT Use Cases
Unloading Oracle
„We've been using FACT for 10 years to speed up the unloading of Oracle tables. Many alternatives were tested – none could beat FACT's extraction speed!“
Faster data movement
„FACT helps us efficiently transfer data between massive DB sources and targets. We see FACT as an integral part of our data warehousing operations.“
The Big „E“ in ETL
„FACT is an essential component of our banking application because it runs faster and more affordably than any traditional ETL technology when used with CoSort.“
Do you need FACT? Find out!
Consider FACT if you:
Are you a Data Warehouse ETL/ELT Architect or DBA needing faster extractions?
Are you having trouble unloading, querying, or loading data from large transaction tables?
Are you responsible for database archiving, replication, migration, or subset operations?
Upgrade or move from Oracle, DB2, Sybase, MySQL, SQL Server, Altibase or Tibero?
Are you noticing slower query response times due to disorganized rows or a fragmented tablespace?
Accelerating multiple databases and applications
Fast Table Extraction from:
Oracle
DB2 UDB
Sybase
MySQL
SQL Server
Altibase
Greenplum
Teradata
Tibero
FACT plays a crucial role in:
Data archive
Data migration
Data protection
Data replication
DW ETL
DW ELT
ODS
Offline reorgs
Offline Reporting
Learn more about FACT
Brochure
Summary
Eclipse GUI
Features
Advantages
Price
What others read
Unload Big Data from Oracle
Speed, scalability, and simplicity are among the key considerations for companies that need to migrate large volumes of data from Oracle, DB2, Sybase, and SQL Server.
ETL vs. ELT
Transformation inside or outside a DB? Check speed, support & costs
Database Reorganizations – Why They Are Important
Over time, data in large RDBMS tables may become fragmented. Reorganizations can save table storage space and improve query performance.