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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 8.2

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

(1-1 of 1)
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January 31, 2019

DATASTAGE -ETL

Score 10 out of 10
Vetted Review
Verified User
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 complete. It has a great number of functions, and the work with a big amount of data with DS is not complex (as long as you have the knowledge and know how to handle the partitioning algorithms, etc).
  • DataStage has improved over time. It has improved its connectors, added functionalities, making easier the programming and the maintenance of the development.
  • Connectivity.
  • Handling large numbers of records.
  • Varied partitioning algorithms.
  • Complementary packages of connectivity to applications, SAP, etc.
  • You must understand and know the algorithms, since the wrong use of them generates more time in processing.
  • Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.
Recommend for:
Small and large data volumes
For development and processing of complex data (functions / routines)
File management
Migrating Data from a Database to other
When you need to track all the data loaded, because you can have all the information about the transformation, the derivation, and where it was used
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
  • The connection with SAP has allowed us to extract useful data, allowing us to set aside costly processes such as ABAP, etc.
  • DataStage can load data wherever the data is . This gives you the facility to integrate data, create a DW with all the integrity that you need.
Compared to other ETL tools, the connectors really work, and makes the developments less complex because they facilitate the development of the processes. The maintenance of the processes is simple, since it is a very visual tool, and you can count on the technical documentation given by the tool.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records.
It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
Because it is robust, and it is being continuously improved.
DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
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