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IBM DataStage

IBM DataStage
Formerly InfoSphere DataStage

Overview

What is IBM DataStage?

IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns.…

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Recent Reviews

DATASTAGE -ETL

10 out of 10
January 31, 2019
Incentivized
  • DS is one of the most powerful ETL tools on the market. Its connectors to different bases plus the pack make it a solid tool, and …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Simple transformations (9)
    9.8
    98%
  • Connect to traditional data sources (9)
    9.5
    95%
  • Complex transformations (9)
    9.3
    93%
  • Collaboration (9)
    9.0
    90%
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Pricing

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N/A
Unavailable

What is IBM DataStage?

IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

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Unavailable
What is SolarWinds Task Factory?

According to the vendor, SolarWinds Task Factory saves time managing tedious ELT/ETL tasks with high-performing SQL Server Integration Services (SSIS) components that can be used within the Visual Studio environment to connect to nearly any data source. Task Factory’s components and tasks have been…

What is Skyvia?

Skyvia is a cloud platform for no-coding data integration (both ELT and ETL), automating workflows, cloud to cloud backup, data management with SQL, CSV import/export, creating OData services, etc. The vendor says it supports all major cloud apps and databases, and requires no software except a web…

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Features

Data Source Connection

Ability to connect to multiple data sources

9.1
Avg 8.3

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

9.5
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

9
Avg 8.1

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

8.9
Avg 8.2
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Product Details

What is IBM DataStage?

IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.


IBM DataStage Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating Systems,
Mobile ApplicationNo

Frequently Asked Questions

IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.

Reviewers rate Simple transformations highest, with a score of 9.8.

The most common users of IBM DataStage are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(34)

Attribute Ratings

Reviews

(1-9 of 9)
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niman goli | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
100%
10.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
100%
10.0
Data Transformations (2)
100%
10.0
Simple transformations
100%
10.0
Complex transformations
100%
10.0
Data Modeling (5)
100%
10.0
Data model creation
100%
10.0
Metadata management
100%
10.0
Business rules and workflow
100%
10.0
Collaboration
100%
10.0
Testing and debugging
100%
10.0
Data Governance (2)
100%
10.0
Integration with data quality tools
100%
10.0
Integration with MDM tools
100%
10.0
Edger Loredo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
90%
9.0
Connecto to Big Data and NoSQL
90%
9.0
Data Transformations (2)
90%
9.0
Simple transformations
90%
9.0
Complex transformations
90%
9.0
Data Modeling (5)
90%
9.0
Data model creation
90%
9.0
Metadata management
90%
9.0
Business rules and workflow
90%
9.0
Collaboration
90%
9.0
Testing and debugging
90%
9.0
Data Governance (2)
85%
8.5
Integration with data quality tools
80%
8.0
Integration with MDM tools
90%
9.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
100%
10.0
Simple transformations
100%
10.0
Complex transformations
100%
10.0
Data Modeling (5)
44%
4.4
Data model creation
N/A
N/A
Metadata management
N/A
N/A
Business rules and workflow
50%
5.0
Collaboration
70%
7.0
Testing and debugging
100%
10.0
Data Governance (2)
90%
9.0
Integration with data quality tools
100%
10.0
Integration with MDM tools
80%
8.0
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
85%
8.5
Connect to traditional data sources
90%
9.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
90%
9.0
Simple transformations
100%
10.0
Complex transformations
80%
8.0
Data Modeling (5)
86%
8.6
Data model creation
90%
9.0
Metadata management
70%
7.0
Business rules and workflow
80%
8.0
Collaboration
100%
10.0
Testing and debugging
90%
9.0
Data Governance (2)
80%
8.0
Integration with data quality tools
70%
7.0
Integration with MDM tools
90%
9.0
Filippo Orlando | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
55%
5.5
Connect to traditional data sources
80%
8.0
Connecto to Big Data and NoSQL
30%
3.0
Data Transformations (2)
75%
7.5
Simple transformations
80%
8.0
Complex transformations
70%
7.0
Data Modeling (5)
58%
5.8
Data model creation
70%
7.0
Metadata management
50%
5.0
Business rules and workflow
70%
7.0
Collaboration
60%
6.0
Testing and debugging
40%
4.0
Data Governance (2)
50%
5.0
Integration with data quality tools
50%
5.0
Integration with MDM tools
50%
5.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
75%
7.5
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
50%
5.0
Data Transformations (2)
95%
9.5
Simple transformations
100%
10.0
Complex transformations
90%
9.0
Data Modeling (5)
68%
6.8
Data model creation
50%
5.0
Metadata management
60%
6.0
Business rules and workflow
90%
9.0
Collaboration
50%
5.0
Testing and debugging
90%
9.0
Data Governance (2)
70%
7.0
Integration with data quality tools
90%
9.0
Integration with MDM tools
50%
5.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (1)
80%
8.0
Connect to traditional data sources
80%
8.0
Data Transformations (2)
95%
9.5
Simple transformations
100%
10.0
Complex transformations
90%
9.0
Data Modeling (4)
72.5%
7.3
Metadata management
80%
8.0
Business rules and workflow
90%
9.0
Collaboration
40%
4.0
Testing and debugging
80%
8.0
Data Governance
N/A
N/A
January 31, 2019

DATASTAGE -ETL

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
100%
10.0
Simple transformations
100%
10.0
Complex transformations
100%
10.0
Data Modeling (5)
80%
8.0
Data model creation
80%
8.0
Metadata management
80%
8.0
Business rules and workflow
80%
8.0
Collaboration
90%
9.0
Testing and debugging
70%
7.0
Data Governance (2)
95%
9.5
Integration with data quality tools
100%
10.0
Integration with MDM tools
90%
9.0
Gonzalo Angeleri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
ResellerIncentivized
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
95%
9.5
Simple transformations
100%
10.0
Complex transformations
90%
9.0
Data Modeling (3)
66.66666666666667%
6.7
Metadata management
70%
7.0
Collaboration
70%
7.0
Testing and debugging
60%
6.0
Data Governance (2)
85%
8.5
Integration with data quality tools
90%
9.0
Integration with MDM tools
80%
8.0
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