Average Ratings 0 Ratings
Average Ratings 2 Ratings
Description
For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort.
CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows.
CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort.
In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.
Description
Rapidminer Monarch is a Siemens self-service data preparation platform that enables business users and data teams to extract, clean, transform, and export data without coding. It is built to work with a wide range of sources, including complex PDFs, Excel files, spreadsheets, text reports, databases, and other enterprise systems. The software helps organizations convert unstructured or difficult-to-use information into structured data that can support reporting, analytics, machine learning, and business operations. Rapidminer Monarch is especially useful for teams that regularly reconcile reports, audit data, migrate legacy information, or prepare data from non-tabular files. Its no-code environment allows users to build repeatable workflows through drag-and-drop tools, reducing dependence on manual cleanup and IT support. The platform increases trust by maintaining data lineage, reconciliation configuration, and change histories for every transformation. Users can also access thousands of pre-built apps for systems such as ADP, Dayforce, Fiserv, Visa, Meditech, and SAP. Rapidminer Monarch Server helps centralize, govern, and operationalize data preparation workflows for enterprise-scale deployments. By automating repetitive preparation tasks, Rapidminer Monarch helps teams improve accuracy, speed up analytics, and make better use of data from across the business.
API Access
Has API
API Access
Has API
Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
Pricing Details
$4,000 perpetual use
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/cosort
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/monarch/
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control