IBM InfoSphere DataStage vs SAS Access comparison

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11,157 views|9,214 comparisons
82% willing to recommend
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372 views|307 comparisons
100% willing to recommend
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Executive Summary

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

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
767,847 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
"We can view what we want to do. We can transform data and put them on tables.""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.""Offers great flexibility.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""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 solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""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.""The solution is very easy to use."

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"The most valuable aspect of the solution is the ease of access to the data in those databases.""The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment.""The most valuable feature is you have native access to the external databases."

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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.""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.""What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well.""The interface needs improvement.""In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations.""The documentation and in-application help for this solution need to be improved, especially for new features.""Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface.""The solution can be a bit more user-friendly, similar to Informatica."

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"The pricing model needs to be reconsidered and adjusted.""The solution can provide access to the newer databases that come out sooner.""I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."

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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 →

  • "The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
  • "The solution's pricing and licensing are expensive."
  • More SAS Access 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 most valuable feature is you have native access to the external databases.
    Top Answer:The solution's pricing and licensing are expensive. It is not the cheapest software. However, SAS systems are solutions that customers use over decades of time and you can rely on the solution being… more »
    Top Answer:The solution can provide access to the newer databases that come out sooner.
    Ranking
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    42nd
    out of 100 in Data Integration
    Views
    372
    Comparisons
    307
    Reviews
    1
    Average Words per Review
    316
    Rating
    8.0
    Comparisons
    Also Known As
    SAS/Access
    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.

    SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.
    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
    Top Industries
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company11%
    Insurance Company10%
    Government8%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise5%
    Large Enterprise73%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SAS Access is ranked 42nd in Data Integration with 3 reviews. IBM InfoSphere DataStage is rated 7.8, while SAS Access is rated 9.0. 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 SAS Access writes "The solution is stable, scalable, and flexible". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas SAS Access is most compared with Delphix, SSIS, Zapier and Toad Data Point.

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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.