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Average Ratings 0 Ratings

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ease
features
design
support

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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

Singer outlines the interaction between data extraction scripts, known as "taps," and data loading scripts referred to as "targets," facilitating their use in various combinations for transferring data from multiple sources to diverse destinations. This enables seamless data movement across databases, web APIs, files, queues, and virtually any other medium imaginable. The simplicity of Singer taps and targets is evident as they are designed as straightforward applications that utilize pipes—eliminating the need for complex daemons or plugins. Communication between Singer applications occurs through JSON, which enhances compatibility and ease of implementation across different programming languages. Additionally, Singer incorporates JSON Schema to ensure robust data types and structured organization when necessary. Another advantage of Singer is its ability to easily maintain state during consecutive runs, thereby enabling efficient incremental data extraction. This makes Singer not only versatile but also a powerful tool in the realm of data integration.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Db2
MySQL
AppsFlyer
BigCommerce
Clubspeed
GitHub
Google Ads
Google Cloud BigQuery
Meta Ads
Oracle Responsys
Pendo
Pepperjam
Recharge
SQL Server
Salesforce
Shippo
Slack
Toggl Track
data.world

Integrations

IBM Db2
MySQL
AppsFlyer
BigCommerce
Clubspeed
GitHub
Google Ads
Google Cloud BigQuery
Meta Ads
Oracle Responsys
Pendo
Pepperjam
Recharge
SQL Server
Salesforce
Shippo
Slack
Toggl Track
data.world

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IRI, The CoSort Company

Founded

1978

Country

United States

Website

www.iri.com/products/fact

Vendor Details

Company Name

Singer

Website

www.singer.io

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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