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Description
The Easy Way to Remove Duplicate Salesforce Records DataGroomr uses Machine Learning to automatically detect duplicate Salesforce records. Duplicate Salesforce records are automatically loaded into a queue so users can compare them side-by-side and decide which values to keep, add new values, or merge. DataGroomr provides everything you need to locate, merge, and get rid off dupes. DataGroomr's Machine Learning algorithms take care of the rest. You can merge duplicate records in one click or en masse from within the app. You can select field values to create a master record, or you can use inline editing for new values. You don't want to see duplicates across the entire organization. You can define your own data by industry, region, or any Salesforce field. The import wizard allows you to merge, deduplicate and append records while importing Salesforce. Automated duplication reports and mass merging tasks can be set up at a time that suits your schedule.
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.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Adabas & Natural
No
Apache Hive
No
HP-UX
No
IBM AIX
No
IBM Db2
No
IRI Data Manager
No
IRI Fast Extract (FACT)
No
IRI FieldShield
No
IRI NextForm
No
IRI RowGen
No
Integrations
Adabas & Natural
Yes
Apache Hive
Yes
HP-UX
Yes
IBM AIX
Yes
IBM Db2
Yes
IRI Data Manager
Yes
IRI Fast Extract (FACT)
Yes
IRI FieldShield
Yes
IRI NextForm
Yes
IRI RowGen
Yes
Pricing Details
$99 per user per year
Free Trial
Yes
Free Version
No
Pricing Details
$4,000 perpetual use
Ranges from $4K-40K per hostname depending on hardware configuration
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
DataGroomr
Founded
2019
Country
United States
Website
datagroomr.com
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/cosort
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
Yes
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
Yes
Machine Learning
Yes
Visual User Interface
Yes
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
No
Master Data Management
Yes
Match & Merge
Yes
Metadata Management
No
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
Yes
Templates
Yes
Data Preparation
Collaboration Tools
Yes
Data Access
Yes
Data Blending
Yes
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
Yes
Data Modeling
Yes
Data Transformation
Yes
Machine Learning
No
Visual User Interface
No
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
Yes
Data Profililng
Yes
Master Data Management
Yes
Match & Merge
Yes
Metadata Management
Yes
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes