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IBM DataStage VS Qlik Compose

Compare IBM DataStage VS Qlik Compose and see what are their differences

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IBM DataStage logo IBM DataStage

Extract, transfer and load ETL data across multiple systems, with support forextended metadata management and big data enterprise connectivity.

Qlik Compose logo Qlik Compose

Improve the return on your data lake investment and simplify the ETL process by automating manual and repetitive aspects of data warehouse automation with Attunity Compose.
  • IBM DataStage Landing page
    Landing page //
    2023-07-15
  • Qlik Compose Landing page
    Landing page //
    2022-08-04

IBM DataStage features and specs

  • Scalability
    IBM DataStage provides robust scalability, allowing organizations to process and transform large volumes of data efficiently. This makes it suitable for enterprises with extensive data integration needs.
  • Integration Capabilities
    DataStage offers comprehensive integration capabilities with a wide range of data sources and targets, including cloud-based and on-premises systems, facilitating seamless data movement and transformation.
  • High Performance
    The platform is optimized for high performance, supporting parallel processing and workload management, which helps in processing large datasets quickly and effectively.
  • User-Friendly Interface
    IBM DataStage provides an intuitive graphical interface that simplifies the design and management of data integration tasks, making it accessible to both technical and non-technical users.
  • Comprehensive Metadata Management
    It offers robust metadata management features, helping users maintain, analyze, and govern their data assets effectively, which enhances data quality and compliance.

Possible disadvantages of IBM DataStage

  • High Cost
    The licensing and operational costs of IBM DataStage can be relatively high, making it a less viable option for smaller businesses or organizations with budget constraints.
  • Complex Setup
    Setting up DataStage can be complex and time-consuming, requiring significant technical expertise, which might be challenging for organizations without skilled IT staff.
  • Steep Learning Curve
    Despite its user-friendly interface, mastering the full capabilities of DataStage can take time, and users may need extensive training to utilize all features effectively.
  • Resource Intensive
    The platform can be resource-intensive, demanding considerable hardware and system resources to perform optimally, which might not be feasible for all organizations.
  • Dependency on IBM Ecosystem
    Organizations heavily investing in IBM DataStage might find themselves increasingly reliant on IBM's ecosystem, which could limit flexibility in choosing other solutions without significant migration efforts.

Qlik Compose features and specs

No features have been listed yet.

IBM DataStage videos

+ Add

IBM InfoSphere DataStage Skill Builder Part 1: How to build and run a DataStage parallel job

Qlik Compose videos

+ Add

Building a Cloud Based Data Warehouse on Google Big Query Using Qlik Compose

More videos:

  • Review - Agile Data Warehouse Automation with Qlik Compose
  • Review - Talk to Experts Tuesday - Qlik Compose

Category Popularity

0-100% (relative to IBM DataStage and Qlik Compose)

IBM DataStage

Qlik Compose

Data Integration
72 72%
Data Integration
28% 28
ETL
72 72%
ETL
28% 28
Backup & Sync
100 100%
Backup & Sync
0% 0
Data Pipelines
0 0%
Data Pipelines
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IBM DataStage and Qlik Compose

IBM DataStage Reviews

Best ETL Tools: A Curated List
IBM InfoSphere DataStage is an enterprise-level ETL tool that is part of the IBM InfoSphere suite. It is engineered for high-performance data integration and can manage large data volumes across diverse platforms. With its parallel processing architecture and comprehensive set of features, DataStage is ideal for organizations with complex data environments and stringent data...
Source: estuary.dev
10 Best ETL Tools (October 2023)
IBM DataStage is an excellent data integration tool that is focused on a client-server design. It extracts, transforms, and loads data from a source to a target. These sources can include files, archives, business apps, and more.
Source: www.unite.ai
A List of The 16 Best ETL Tools And Why To Choose Them
Infosphere Datastage is an ETL tool offered by IBM as part of its Infosphere Information Server ecosystem. With its graphical framework, users can design data pipelines that extract data from multiple sources, perform complex transformations, and deliver the data to target applications.
Source: www.datacamp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
DataStage is an IBM proprietary tool that extracts, transforms, and loads data from a source to the destination storage. It is suitable for on-premises deployment and use in hybrid or multi-cloud environments. Data sources that DataStage is compatible with include sequential files, indexed files, relational databases, external data sources, archives, enterprise applications,...
Source: visual-flow.com

Qlik Compose Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Qlik Compose is a data warehousing solution that automatically designs data warehouses and generates ETL code. This tool automates tedious and error-prone ETL development and maintenance. This‌ shortens the lead time of data warehousing projects.
Source: www.datacamp.com

What are some alternatives?

When comparing IBM DataStage and Qlik Compose, you can also consider the following products

Azure Data Factory - Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

AWS Glue - Fully managed extract, transform, and load (ETL) service

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

Pentaho Data Integration - Hitachi Vantara brings Pentaho Data Integration, an end-to-end platform for all data integration challenges, that simplifies creation of data pipelines and provides big data processing.

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