IBM InfoSphere DataStage vs Unifi comparison

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11,053 views|9,113 comparisons
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and Unifi based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table.""It works with multiple servers and offers high availability.""I am impressed with the tool's ETL tracing.""The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms""The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""Finding logs is very easy on the solution."

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"It's easy to manage and support the user, our guests, and our customers if they have a problem.""The controller makes it easy to control everything from one platform. The management is easy."

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Cons
"The initial setup could be more straightforward.""The setup is extremely difficult.""Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data.""Currently lacking virtualization ability.""The interface needs improvement. It is really too technical. That is the main problem.""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.""I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera.""The response time from support is slow and needs to be improved."

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"It's stable, but it depends on the office and location.""There are issues with certain Apple devices."

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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 →

  • "There is no license. The solution is free."
  • More Unifi Pricing and Cost Advice →

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    Questions from the Community
    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 »
    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 »
    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 »
    Top Answer:The controller makes it easy to control everything from one platform. The management is easy.
    Top Answer:In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this… more »
    Ranking
    7th
    out of 94 in Data Integration
    Views
    11,053
    Comparisons
    9,113
    Reviews
    14
    Average Words per Review
    439
    Rating
    7.9
    45th
    out of 94 in Data Integration
    Views
    280
    Comparisons
    235
    Reviews
    1
    Average Words per Review
    484
    Rating
    7.0
    Comparisons
    Learn More
    Overview

    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.

    The Unifi Data Platform breaks down the barriers of operational data silos and democratizes information across the enterprise. At the heart of the platform is a comprehensive suite of self-service data discovery and preparation tools to empower business users. Employing machine learning and artificial intelligence technologies, and optimized for the cloud, Unifi predicts what the business user wants to visualize and then connects the resulting data natively to the BI tool for fast, accurate results.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
    Top Industries
    REVIEWERS
    Computer Software Company54%
    Transportation Company8%
    Healthcare Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company11%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Real Estate/Law Firm14%
    Manufacturing Company13%
    Computer Software Company13%
    Company Size
    REVIEWERS
    Small Business46%
    Midsize Enterprise7%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise8%
    Large Enterprise63%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 36 reviews while Unifi is ranked 45th in Data Integration with 2 reviews. IBM InfoSphere DataStage is rated 7.8, while Unifi is rated 8.0. 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". On the other hand, the top reviewer of Unifi writes "Good management and pricing but not great for enterprise environments". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Unifi is most compared with SSIS, Informatica Enterprise Data Catalog and Alteryx.

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    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.