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Actian Pervasive Data Integrator [EOL] vs IBM InfoSphere DataStage comparison

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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between Actian Pervasive Data Integrator [EOL] and IBM InfoSphere DataStage 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).
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768,578 professionals have used our research since 2012.
Featured Review
Edwin Manaay
You can use it to send data back and forth between Salesforce.com and JD Edwards.
The solution provides the ability to integrate data bi-directionally from various platforms.
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
"There were no concerns with the stability. This product is very good from a stability perspective."

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"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes.""As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables.""When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""We can view what we want to do. We can transform data and put them on tables.""ETL is the most valuable feature.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""It works with multiple servers and offers high availability.""The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"

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Cons
"I am not sure if there are various connectors available in the recent version of Pervasive DI to support the wide range of sources available (e.g., big data, cloud, EME)."

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"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies.""The error messaging needs to be improved.""There could be more customization options for the product.""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.""I want the tool to continue with the on-prem version, not the cloud one.""The response time from support is slow and needs to be improved.""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.""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."

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Pricing and Cost Advice
Information Not Available
  • "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 →

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    Questions from the Community
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    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
    Unranked
    In Data Integration
    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
    Pervasive Data Integrator, PDI
    Learn More
    Actian
    IBM
    Overview
    Pervasive's Data Integrator platform is a robust enterprise data integration software solution that enables you to quickly build powerful and frictionless connections between any kind of data source and application.

    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
    Pediatrix Medical Group
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    No Data Available
    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
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    Data Integration
    April 2024
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    Actian Pervasive Data Integrator [EOL] doesn't meet the minimum requirements to be ranked in Data Integration while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Actian Pervasive Data Integrator [EOL] is rated 5.8, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Actian Pervasive Data Integrator [EOL] writes "You can use it to send data back and forth between Salesforce.com and JD Edwards". 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". Actian Pervasive Data Integrator [EOL] is most compared with , 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 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.