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Average Ratings 0 Ratings
Description
A fast extract step can be a critical component of:
database archive and replication
database reorgs and migrations
data warehouse ETL, ELT, and ODS operations
offline reporting and bulk data protection
IRI Fast Extract (FACT™) is a parallel unload utility for very large database (VLDB) tables in:
Oracle DB2 UDB MS SQL Server
Sybase MySQL Greenplum
Teradata Altibase Tibero
FACT uses simple job scripts (supported in a familiar Eclipse GUI) to rapidly create portable flat files. FACT's speed comes from native connection protocols and proprietary split query logic that unloads billions of rows in minutes.
Although FACT is a standalone, application-independent utility, it can also work nicely with other programs and platforms. For example, FACT optionally creates metadata for data definition files (.DDF) that IRI CoSort and its compatible data management and protection tools can use to manipulate the flat files. FACT also automatically creates database load utility configuration files for the same source.
FACT is also an optional, seamlessly integrated component in the IRI Voracity ETL and data management platform.
The automatic metadata creation -- and coexistence of other IRI software in the same IDE --
Description
Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.
API Access
Has API
No
API Access
Has API
Yes
Integrations
IBM Db2
Yes
MySQL
Yes
SQL Server
Yes
Active Directory
No
AtScale
No
Azure Data Lake
No
Data Virtuality
No
Denodo
No
Google Cloud Platform
No
IRI CoSort
Yes
Integrations
IBM Db2
Yes
MySQL
Yes
SQL Server
Yes
Active Directory
Yes
AtScale
Yes
Azure Data Lake
Yes
Data Virtuality
Yes
Denodo
Yes
Google Cloud Platform
Yes
IRI CoSort
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/fact
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
powerquery.microsoft.com/en-us/
Product Features
Data Extraction
Disparate Data Collection
Yes
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
No
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No