Delphix vs IBM InfoSphere DataStage comparison

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Delphix Logo
1,880 views|1,114 comparisons
80% willing to recommend
IBM Logo
11,157 views|9,214 comparisons
82% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Test Data Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Delphix vs. IBM InfoSphere DataStage Report (Updated: January 2020).
768,578 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
"Data being available anytime is a life changer.""It's really easy to install.""The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market.""Delphix interfaces are simple to use and very user friendly.""The most valuable aspect is the product is easy to manage, with a good dashboard. We can easily configure it on the front end and back end.""Delphix's technical support is fairly knowledgeable.""It is a stable solution.""Delphix's data distribution is powerful. It's easy to distribute data with this solution. The main advantage of Delphix is that it generates copies of data."

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"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage.""The solution is very easy to use.""The most valuable feature is the ability to transfer information via notes.""When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""The concept of integration is a valuable feature of the product.""I am impressed with the tool's ETL tracing.""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."

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Cons
"Delphix needs better partnerships from a customer perspective. It's how they sell it, not what they're selling.""Delphix could be improved with better usability and an agentless option.""One thing I would like to see improved is the unusual error messages we receive and some slowness we have while we are updating.""GUI could be improved.""Delphix is quite expensive.""The solution’s self-service portal must be more interactive and user-friendly.""As a commercial model, it's very good. However, maybe it would be nice for Delphix to integrate with some other platforms.""When it comes to unstructured and structured data, if Delphix can comply with the requirements for most of the structured data, it would be good, especially if it can include the data scanning part."

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"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.""The troubleshooting guide is very bad.""The solution can be a bit more user-friendly, similar to Informatica.""It would be useful to provide support for Python, AR, and Java.""Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere.""The graphical user interface (GUI) feels a lot like the interfaces from the 1980s.""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.""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."

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Pricing and Cost Advice
  • "The cost is $370K annually for the Delphix Masking Engine and Delphix Virtualization Engine."
  • "Delphix's pricing is affordable."
  • "I would say the price is a little high but affordable for our needs."
  • "It is an expensive solution."
  • "The product is a little bit expensive."
  • "I rate the product price seven to eight on a scale of one to ten, where one is the low price, and ten is the high price."
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  • "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
    Top Answer:The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market.
    Top Answer:My company purchased Delphix since it met our budgetary requirements. The product is not cheap, but I can say that it is a good product for the functionalities it provides. I rate the product price… more »
    Top Answer:When it comes to unstructured and structured data, if Delphix can comply with the requirements for most of the structured data, it would be good, especially if it can include the data scanning part… more »
    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 »
    Ranking
    1st
    Views
    1,880
    Comparisons
    1,114
    Reviews
    8
    Average Words per Review
    369
    Rating
    8.0
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    Comparisons
    Learn More
    Overview

    Delphix is a software company that specializes in data virtualization and data management solutions. The company's primary product is the Delphix Dynamic Data Platform, which enables organizations to streamline data operations and accelerate application development.

    Delphix focuses on solving data challenges faced by enterprises, such as data provisioning, data masking, data integration, and data versioning. The platform works by creating virtual copies of data, known as "data pods," which are lightweight and can be easily accessed and shared across various environments, such as development, testing, and analytics.

    Delphix Features:

    • Data Virtualization: Create virtual data copies without physical copies, reducing storage needs.
    • Data Masking: Secure sensitive data with realistic yet fictional information for privacy and compliance.
    • Data Integration: Streamline data integration and provisioning across various sources and platforms.
    • Data Versioning: Manage multiple data versions for rollbacks, comparisons, and compliance.
    • Self-Service Data Management: Empower users to access and refresh data copies independently, boosting productivity.
    • DataOps Automation: Automate data operations for faster application development and streamlined workflows.

    Delphix is used by organizations across various industries, including financial services, healthcare, retail, and technology, to accelerate software development, improve data security, and enhance data management practices.

    Delphix Benefits:

    • Data agility: Rapid provisioning of virtual data copies speeds up application development.
    • Storage efficiency: Lightweight virtual copies reduce storage needs and infrastructure costs.
    • Data security and compliance: Robust data masking ensures privacy and regulatory compliance.
    • Enhanced collaboration: Simultaneous access to data promotes teamwork and knowledge sharing.
    • Faster data integration: Seamless integration with various sources improves accessibility and insights.
    • Improved data governance: Centralized control enforces consistency and supports compliance.
    • Reduced risk and resilience: Data versioning allows easy rollbacks and recovery.
    • Operational efficiency: Automation streamlines processes and improves resource allocation.
    • Cost savings: Optimized storage and streamlined workflows lead to reduced expenses.

    Reviews from Real Users

    PeerSpot user, Product Owner & Scrum master at a financial services firm, says that "Delphix's data distribution is powerful. It's easy to distribute data with this solution. The main advantage of Delphix is that it generates copies of data."

    Niaz Aziz, Projects Team Lead at Azeemi Technologies, states that Delphix “Has good scalability and works efficiently for data visualization”

    Another PeerSpot user, DevOps ERP Engineer at a tech services company, writes that Delphix has “Excellent working environment, with continuous updates and affordable pricing”

    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
    Alberta Blue Cross, Fastweb, SABMiller, California Insurance Guarantee Association (CIGA), Molina Healthcare, AT&T, Nike, Facebook, eBay, Comcast, IBM, HP, Intel, Avaya, BNP Paribas, P&B, Toyota, Walmart, Best Western, Directv, JPMorganChase, Verizon, Bank of the West, Fannie Mae
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    REVIEWERS
    Healthcare Company33%
    Financial Services Firm22%
    Computer Software Company22%
    University11%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company11%
    Insurance Company9%
    Manufacturing Company7%
    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%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    Delphix vs. IBM InfoSphere DataStage
    January 2020
    Find out what your peers are saying about Delphix vs. IBM InfoSphere DataStage and other solutions. Updated: January 2020.
    768,578 professionals have used our research since 2012.

    Delphix is ranked 1st in Test Data Management with 15 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Delphix is rated 8.0, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Delphix writes "Handles large volumes of data with ease, but the self-service portal must be more user-friendly". 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". Delphix is most compared with Informatica Test Data Management (TDM), Denodo, Broadcom Test Data Manager, IBM InfoSphere Optim Test Data Management (TDM) and Actifio, 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 Delphix vs. IBM InfoSphere DataStage report.

    We monitor all Test Data Management 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.