Speed ETL, Reorgs & Migration
Very Fast Database Unloading
Accelerate Data Acquisition
FACT speeds unloads up to 7x with parallel query technology. Performance scales linearly in volume, 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, et al. Create simple job scripts by hand, or automatically in the IRI Workbench GUI, built on Eclipse™.
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Data Ready for Everyone
FACT produces flat files that any application can use. Plug into and feed ETL operations and offline reorgs, archive your data, migrate your databases, and more.
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References
FACT Use Cases
Unloading Oracle
"We have used FACT for almost 10 years to speed Oracle table unloads. We tried multiple alternatives and nothing could beat FACT's extraction speed."
Faster Data Movement
"FACT helps us move data between massive DB sources and targets efficiently. We see FACT as an integral performance piece of our data warehousing operations."
The Big E in ETL
"FACT is an essential component of our banking application because it, along with CoSort, runs faster and cheaper than any legacy ETL technology can."
Do You Need FACT? Find Out!
Consider FACT if you are ...
- Are you a data warehouse ETL / ELT architect, or DBA needing faster extraction?
- Do you experience unload, query, or load bottlenecks with large transaction tables?
- Are you responsible for DB archive, replication, migration, or subsetting operations?
- Upgrading or leaving Oracle, DB2, Sybase, MySQL, SQL Server, Altibase, or Tibero?
- Noticing slower query response times from unordered rows or fragmented table space?
Speed Multiple Databases and Applications
Fast Extract Tables from:
Oracle
DB2 UDB
Sybase
MySQL
SQL Server
Altibase
Greenplum
Teradata
Tibero
FACT is Critical for:
Data Archive
Data Migration
Data Protection
Data Replication
DW ETL
DW ELT
ODS
Offline Reorgs
Offline Reporting
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What Others Are Reading
Unload Big Data from Oracle
Among the key issues for companies who need to unload big data from Oracle, DB2, Sybase and SQL Server are speed, scalability, and simplicity.
DB Reorgs - Why They Matter
Over time, data in large RDBMS tables eventually become fragmented. Reorgs can save table space and improve query performance.
ETL vs. ELT: We Posit, You Judge
The decision to transform data inside or outside the database has significant speed, support, and spend consequences.