IRI CoSortIRI, The CoSort Company
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Tagit Linen CountTagit RFID Solutions
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Related Products
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About
What is CoSort?
IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools.
What does CoSort do?
CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs.
Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.
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About
Laundry is the most important section of the hospitality industry and managing the laundry activity is more difficult especially if you are doing it with an old-school method. Counting and sorting each linen with pen and ledger is not the efficient way. Tagit comes with an app which is designed & developed to streamline laundry operation in hospitality sector by tracking the IN and Out linen movement, sorting, measuring linen wash cycle and measure performance. With RFID technology & Tagit Linen Count, the laundry sector will be saving time, money & effort while carrying the operation. Tagit Linen Count is designed for fitness centers, hotels and laundromats to manage movements of In/Out of laundry items. The app logs wash cycles and keeps a record of all reports. Reports can be emailed and dowloaded in excel. Multi-user and multiple device scanning is supported for faster operations.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
DW/BI and big data architects, mainframe sort, COBOL and data migrators
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Audience
Laundry and dry cleaning businesses looking for a point-of-sale system solution for walk-in and drop-off customers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$4,000 perpetual use
Free Version
Free Trial
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Pricing
$500 per year
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationIRI, The CoSort Company
Founded: 1978
United States
www.iri.com/products/cosort
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Company InformationTagit RFID Solutions
Founded: 2009
United Arab Emirates
www.tagitglobal.com/news/tagit-linen-count-with-rfid-scanner
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Categories |
Categories |
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
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Dry Cleaning Features
Barcoded Garments
Customer Accounts
Email Marketing
Employee Management
Point of Sale (POS)
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Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
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Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
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