• Home
  • Ab Initio Co>Operating System vs. IBM InfoSphere DataStage

Ab Initio Co>Operating System vs IBM InfoSphere DataStage comparison

Cancel
You must select at least 2 products to compare!
Ab Initio Logo

Ab Initio Co>Operating System

Read 2 Ab Initio Co>Operating System reviews
2,206 views|1,092 comparisons
66% willing to recommend
IBM Logo

IBM InfoSphere DataStage

Read 37 IBM InfoSphere DataStage reviews
11,157 views|9,214 comparisons
82% willing to recommend
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Ab Initio Co>Operating System vs. IBM InfoSphere DataStage
March 2024
Executive Summary

We performed a comparison between Ab Initio Co>Operating System and IBM InfoSphere DataStage based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Ab Initio Co>Operating System vs. IBM InfoSphere DataStage Report (Updated: March 2024).
Download the complete report
768,578 professionals have used our research since 2012.
Featured Review
Alejandro Mosso
High performance and flexible solution for companies with large amounts of data
Murali B
Facilitated our peak data integration projects, offers good GUI and availability of connectors is strong
DataStage facilitated our peak data integration projects. For example, big data integrations have happened, particularly when we worked with... Read more →
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Co>Operating System's most valuable feature is its ability to process bulk data effectively.""Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

More Ab Initio Co>Operating System Pros →

"We like the flexibility of modeling.""We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions.""DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.""Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good.""The most valuable feature is the data integration for data warehousing.""It works with multiple servers and offers high availability.""Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job.""The solution is stable."

More IBM InfoSphere DataStage Pros →

Cons
"Co>Operating System would be improved with more integrations for less well-known technologies.""An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

More Ab Initio Co>Operating System Cons →

"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component.""Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions.""The interface needs work to be more user-friendly.""The template mapping could be easier.""I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers.""The setup is extremely difficult.""There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for.""We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."

More IBM InfoSphere DataStage Cons →

Pricing and Cost Advice
  • "Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."

    • More Ab Initio Co>Operating System Pricing and Cost Advice →

  • "High-cost of ownership: They could take a page from open source software."
  • "Pricing varies based on use, and it is not as costly as some competing enterprise solutions."
  • "Small and medium-sized companies cannot afford to pay for this solution."
  • "The cost is too high."
  • "It's very expensive."
  • "Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
  • "The price is expensive but there are no licensing fees."
  • "It is quite expensive."

    • More IBM InfoSphere DataStage Pricing and Cost Advice →

    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
    See Recommendations
    768,578 professionals have used our research since 2012.
    Questions from the Community
    What do you like most about Ab Initio Co>Operating System?
    Top Answer:Co>Operating System's most valuable feature is its ability to process bulk data effectively.
    Read all 2 answers   →
    What needs improvement with Ab Initio Co>Operating System?
    Top Answer:Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governance side… more »
    Read all 2 answers   →
    What is your primary use case for Ab Initio Co>Operating System?
    Top Answer:My primary use of this solution is in the banking sector to process financial movements and generate reports. I also use it in the risk area of banking to detect thefts and risky behaviors.
    Would you upgrade to more premium versions of IBM InfoSphere DataStage?
    Top Answer: My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For the… more »
    Read all 2 answers   →
    Is IBM InfoSphere DataStage more difficult to use compared to other tools...
    Top Answer: I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work… more »
    Read all 2 answers   →
    Do you rely on IBM Cloud Paks for your data? Have you utilized this produ...
    Top Answer:IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands… more »
    Read all 2 answers   →
    Ranking
    28th
    out of 100 in Data Integration
    Views
    2,206
    Comparisons
    1,092
    Reviews
    2
    Average Words per Review
    243
    Rating
    9.5
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    Comparisons
    Also Known As
    Co>Operating System
    Learn More
    Ab Initio
    Video Not Available
    IBM
    Overview
    The Co>Operating System is an environment for building, integrating, and running enterprise business applications. The Co>Operating System is the foundation for all of Ab Initio's technologies. These technologies provide a complete and seamless application development and execution environment.

    IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.

    The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.

    The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:

    • Designing data flows to extract information from multiple sources, transform the data, and deliver it to target databases or applications.

    • Delivery of relevant and accurate data through direct connections to enterprise applications.

    • Reduction of development time and improvement of consistency through prebuilt functions.

    • Utilization of InfoSphere Information Server tools for accelerating the project delivery cycle.

    IBM InfoSphere DataStage can be deployed in various ways, including:

    • As a service: The tool can be accessed from a subscription model, where its capabilities are a part of IBM DataStage on IBM Cloud Park for Data as a Service. This option offers full management on IBM Cloud.

    • On premises or in any cloud: The two editions - IBM DataStage Enterprise and IBM DataStage Enterprise Plus - can run workloads on premises or in any cloud when added to IBM DataStage on IBM Cloud Pak for Data as a Service.

    • On premises: The basic jobs of the tool can be run on premises using IBM DataStage.

    IBM InfoSphere DataStage Features

    The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:

    • AI services: The tool offers services such as data science, event messaging, data warehousing, and data virtualization. It accelerates processes through artificial intelligence (AI) and offers a connection with IBM Cloud Paks - the cloud-native insight platform of the solution.

    • Parallel engine: Through this feature, ETL performance can be optimized to process data at scale. This is achieved through parallel engine and load balancing, which maximizes throughput.

    • Metadata support: This feature of the product uses the IBM Watson Knowledge Catalog to protect companies' sensitive data and monitor who can access it and at what levels.

    • Automated delivery pipelines: IBM InfoSphere DataStage reduces costs by automating continuous integration and delivery of pipelines.

    • Prebuilt connectors: The feature for prebuilt connectivity and stages allows users to move data between multiple cloud sources and data warehouses, including IBM native products.

    • IBM DataStage Flow Designer: This feature offers assistance through machine learning design. The product offers its clients a user-friendly interface which facilitates the work process.

    • IBM InfoSphere QualityStage: The tool provides a feature that automatically resolves data quality issues and increases the reliability of the delivered data.

    • Automated failure detection: Through this feature, companies can reduce infrastructure management efforts, relying on the automated detection that the tool offers.

    • Distributed data processing: Cloud runtimes can be executed remotely through this feature while maintaining its sovereignty and decreasing costs.

    IBM InfoSphere DataStage Benefits

    This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:

    • Increased speed of workload execution due to better balancing and a parallel engine.

    • Reduction of data movement costs through integrations and seamless design of jobs.

    • Modernization of data integration by extending the capabilities of companies' data.

    • Delivery of reliable data through IBM Cloud Pak for Data.

    • Utilization of a drag-and-drop interface which assists in the delivery of data without the need for code.

    • Effective data manipulation allows data to be merged before being mapped and transformed.

    • Creating easier access of users to their data by providing visual maps of the process and the delivered data.

    Reviews from Real Users

    A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.

    Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.

    Sample Customers
    A multinational transportation company
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm41%
    Computer Software Company9%
    Insurance Company6%
    Educational Organization6%
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise81%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    Ab Initio Co>Operating System vs. IBM InfoSphere DataStage
    March 2024
    Free Report: Ab Initio Co>Operating System vs. IBM InfoSphere DataStage
    Find out what your peers are saying about Ab Initio Co>Operating System vs. IBM InfoSphere DataStage and other solutions. Updated: March 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 28th in Data Integration with 2 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Ab Initio Co>Operating System is rated 9.6, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Ab Initio Co>Operating System writes "High performance and flexible solution for companies with large amounts of data". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Informatica Cloud Data Integration and AWS Database Migration Service, whereas IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Ab Initio Co>Operating System vs. IBM InfoSphere DataStage report.

    See our list of best Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.