IBM Cloud Pak for Data vs Talend Open Studio comparison

Cancel
You must select at least 2 products to compare!
IBM Logo
4,083 views|2,669 comparisons
84% willing to recommend
Talend Logo
12,831 views|9,729 comparisons
97% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Cloud Pak for Data and Talend Open Studio 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 IBM Cloud Pak for Data vs. Talend Open Studio Report (Updated: March 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
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance.""The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources.""Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF.""DataStage allows me to connect to different data sources.""Scalability-wise, I rate the solution a nine or ten out of ten.""It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten.""The most valuable features are data virtualization and reporting.""You can model the data there, connect the data models with the business processes and create data lineage processes."

More IBM Cloud Pak for Data Pros →

"The most valuable feature for me when it comes to this solution is that it's easy to use.""Open Studio's best features are that it's user-friendly, even for beginners, and very easy to implement.""The most interesting aspect of the solution for us is that Talend Open Studio has a good balance between the features and the cost of the data management platform.""I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool.""The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily.""The rapidity of integration with data may be one of the valuable features.""We're sold on the customization part of the solution.""Talend Studio has the ability to use it to ensure data quality."

More Talend Open Studio Pros →

Cons
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve.""One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios.""The solution could have more connectors.""The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one.""The product must improve its performance.""The technical support could be a little better.""There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement.""One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

More IBM Cloud Pak for Data Cons →

"he overall marketing and documentation of this product need to improve a lot.""In version 6.2 we did encounter issues with the job servers and specifically with ESB. Version 6.3 is better but large jobs can cause the MDM server to fall over, requiring a reboot.""It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them.""The technical support and documentation need a lot of work to come up to standard.""The solution should offer better integration with other products.""Talend should improve the log and error handling to better track the errors you find during development. Sometimes it's challenging to see what's causing an issue, and tracking that on Talend is complicated.""We need more components to be more efficient. We use a lot of components, such as Salesforce, and it's not easy to use. There's are minor bugs and it's not easy to use some of the features.""The security features could be improved."

More Talend Open Studio Cons →

Pricing and Cost Advice
  • "I think that this product is too expensive for smaller companies."
  • "I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
  • "Cloud Pak's cost is a little high."
  • "IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
  • "For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
  • "It's quite expensive."
  • "The solution is expensive."
  • More IBM Cloud Pak for Data Pricing and Cost Advice →

  • "Pricing and licensing are fairly straightforward. It is reasonably priced and managed."
  • "Talend is free and you can download it."
  • "The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
  • "Price could be lower. It is getting too expensive when compared to some other solutions, which is actually a little bit concerning."
  • "There are many versions available and one is open-sourced which is free."
  • "The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
  • "It does the job well for nothing — without cost. That's the advantage of this product."
  • "Talend Open Studio is priced too high."
  • More Talend Open Studio Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
    767,847 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:DataStage allows me to connect to different data sources.
    Top Answer:The product must improve its performance. We see typical cloud-related issues in the solution. IBM can still focus more on keeping the performance up and keeping it 100% available all the time.
    Top Answer:We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in… more »
    Top Answer:It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The… more »
    Top Answer:The product’s pricing is reasonable. It has an annual subscription.
    Ranking
    15th
    out of 100 in Data Integration
    Views
    4,083
    Comparisons
    2,669
    Reviews
    10
    Average Words per Review
    546
    Rating
    8.3
    5th
    out of 100 in Data Integration
    Views
    12,831
    Comparisons
    9,729
    Reviews
    15
    Average Words per Review
    559
    Rating
    7.9
    Comparisons
    Also Known As
    Cloud Pak for Data
    Open Studio
    Learn More
    Overview

    IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

    Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

    Talend Open Studio is a free, open source ETL tool for data integration and Big Data. The solution enables you to extract diverse datasets and normalize and transform them into a consistent format which can be loaded into a number of third-party databases and applications.

    Talend Open Studio Features

    Talend Open Studio has many valuable key features. Some of the most useful ones include:

    • Automatic identification of data types and potential errors
    • tMap module
    • Graphical conversion tools
    • Charts
    • Database SCD Tools
    • Business intelligence formats (Jasper, OLAP, SPSS, Splunk)
    • ETL and ELT support
    • Eclipse-based development tooling
    • Versioning
    • Large library of connectors
    • Data flow orchestration
    • File management without scripting
    • Data transformations

    Talend Open Studio Benefits

    There are several benefits to implementing Talend Open Studio. Some of the biggest advantages the solution offers include:

    • Reduces the time taken to develop the integration.
    • Provides a wide selection of source and target connectors.
    • Monitor and manage problematic deployments with ease.
    • Allows developers to have the lowest cost of ownership for any solution.
    • Improves collaboration between different teams who need access to data.
    • Automated data integration process synchronizes the data and eases real time and periodic reporting, which would be time-consuming if done manually.
    • Achieve better data quality because data matures and improves over time.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Talend Open Studio solution.

    Elio B., Data Integration Specialist/CTO at Asset messages, says, "The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."

    A Practice Head, Analytics at a tech services company mentions, “The data integration aspect of the solution is excellent. The product's data preparation features are very good. There's very useful data stewardship within the product. From a technical standpoint, the solution itself is pretty good. There are very good pre-built connectors in Talend, which is good for many clients or businesses, as, in most cases, companies are dealing with multiple data sources from multiple technologies. That is where a tool like Talend is extremely helpful.”

    Prerna T., Senior System Executive at a tech services company, comments, “The best thing I have found with Talend Open Studio is their major support for the lookups. With Salesforce, when we want to relate our child objects to their parent object, we need to create them via IDs. Then the upsert operation, which will allow you to relate a child object to the event, will have an external ID. That is the best thing which keeps it very sorted. I like that.”

    An Implementation Specialist, Individual Contributor at a computer software company, states, “I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields.” He also adds, “It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool.”

    PeerSpot user Badrakh V., Information System Architect at Astvision, explains, "The most valuable features are the ETL tools."

    Sample Customers
    Qatar Development Bank, GuideWell, Skanderborg Music Festival
    Almerys, BF&M, Findus
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company11%
    Government8%
    Manufacturing Company8%
    REVIEWERS
    Computer Software Company29%
    Insurance Company12%
    Financial Services Firm12%
    University12%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company7%
    Government6%
    Company Size
    REVIEWERS
    Small Business46%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise7%
    Large Enterprise76%
    REVIEWERS
    Small Business42%
    Midsize Enterprise25%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    IBM Cloud Pak for Data vs. Talend Open Studio
    March 2024
    Find out what your peers are saying about IBM Cloud Pak for Data vs. Talend Open Studio and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    IBM Cloud Pak for Data is ranked 15th in Data Integration with 11 reviews while Talend Open Studio is ranked 5th in Data Integration with 47 reviews. IBM Cloud Pak for Data is rated 8.0, while Talend Open Studio is rated 8.0. The top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". On the other hand, the top reviewer of Talend Open Studio writes "An open-source ETL tool, when deployed on-premises, requiring an easy installation phase". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Talend Open Studio is most compared with SSIS, IBM InfoSphere DataStage, Talend Data Fabric, AWS Glue and Talend Data Management Platform. See our IBM Cloud Pak for Data vs. Talend Open Studio 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.