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What is IRI CoSort?

For over forty years, IRI CoSort has established itself as a leader in the realm of big data sorting and transformation technologies. With its sophisticated algorithms, automatic memory management, multi-core utilization, and I/O optimization, CoSort stands as the most reliable choice for production data processing. Pioneering the field, CoSort was the first commercial sorting package made available for open systems, debuting on CP/M in 1980, followed by MS-DOS in 1982, Unix in 1985, and Windows in 1995. It has been consistently recognized as the fastest commercial-grade sorting solution for Unix systems and was hailed by PC Week as the "top performing" sort tool for Windows environments. Originally launched for CP/M in 1978 and subsequently for DOS, Unix, and Windows, CoSort earned a readership award from DM Review magazine in 2000 for its exceptional performance. Initially created as a file sorting utility, it has since expanded to include interfaces that replace or convert sort program parameters used in a variety of platforms such as IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort introduced additional manipulation capabilities through a control language interface modeled after the VMS sort utility syntax, which has been refined over the years to support structured data integration and staging for both flat files and relational databases, resulting in a suite of spinoff products that enhance its versatility and utility. In this way, CoSort continues to adapt to the evolving needs of data processing in a rapidly changing technological landscape.

What is IBM Databand?

Monitor the health of your data and the efficiency of your pipelines diligently. Gain thorough visibility into your data flows by leveraging cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability solution is tailored specifically for Data Engineers. As data engineering challenges grow due to heightened expectations from business stakeholders, Databand provides a valuable resource to help you manage these demands effectively. With the surge in the number of pipelines, the complexity of data infrastructure has also risen significantly. Data engineers are now faced with navigating more sophisticated systems than ever while striving for faster deployment cycles. This landscape makes it increasingly challenging to identify the root causes of process failures, delays, and the effects of changes on data quality. As a result, data consumers frequently encounter frustrations stemming from inconsistent outputs, inadequate model performance, and sluggish data delivery. The absence of transparency regarding the provided data and the sources of errors perpetuates a cycle of mistrust. Moreover, pipeline logs, error messages, and data quality indicators are frequently collected and stored in distinct silos, which further complicates troubleshooting efforts. To effectively tackle these challenges, adopting a cohesive observability strategy is crucial for building trust and enhancing the overall performance of data operations, ultimately leading to better outcomes for all stakeholders involved.

Media

Media

Integrations Supported

PostgreSQL
Adabas & Natural
Amazon EMR
Amazon Redshift
Amazon S3
Apache Spark
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Composer
IBM AIX
IBM Db2
IRI RowGen
MLflow
Microsoft Azure
MySQL
Oracle Database
Oracle Solaris
Python
SAP HANA
SQL Server

Integrations Supported

PostgreSQL
Adabas & Natural
Amazon EMR
Amazon Redshift
Amazon S3
Apache Spark
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Composer
IBM AIX
IBM Db2
IRI RowGen
MLflow
Microsoft Azure
MySQL
Oracle Database
Oracle Solaris
Python
SAP HANA
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

$4,000 perpetual use
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IRI, The CoSort Company

Date Founded

1978

Company Location

United States

Company Website

www.iri.com/products/cosort

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/databand

Categories and 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

Categories and Features

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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