IBM Cloud Pak for Data vs Talend Data Fabric comparison

IBM and Talend are both solutions in the Data Integration category. IBM is ranked #19 with an average rating of 8.3, while Talend is ranked #29 with an average rating of 9.0. IBM holds a 1.7% mindshare in DI, compared to Talend’s 1.5% mindshare. Additionally, 85% of IBM users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

3,325 Views
2,309 Comparison Views

85% willing to recommend

Talend Data Fabric

Read 5 Talend Data Fabric reviews

2,179 Views
1,777 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Talend Data Fabric

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Talend Data Fabric and IBM Cloud Pak for Data are both prominent players in the data integration and management category. While Talend Data Fabric highlights pricing and deployment simplicity, IBM Cloud Pak for Data stands out with its comprehensive platform and feature set, justifying a higher investment.

Features: Talend Data Fabric provides an open-source integration platform with notable data quality and governance capabilities. It supports multi-cloud purposes, allowing data orchestration across various platforms. Additionally, it offers valuable data connection, business queries, and schema management. IBM Cloud Pak for Data features data virtualization and reporting, containerization for cloud flexibility, and the Watson Knowledge Catalog for data governance. It integrates with IBM MQ and other tools, offering a robust modeler flows feature for graphical model development.

Room for Improvement: Talend Data Fabric could enhance its user interface to streamline data workflows and extend support for real-time data integration. There is also a need for better documentation to aid new users in maximizing the platform's capabilities. Additionally, expanding its library of connectors could further improve integration processes. IBM Cloud Pak for Data would benefit from simplifying its deployment architecture to reduce complexity and improve initial user orientation. Enhancing the ease of configuration and providing more intuitive user interfaces could improve usability. It could also streamline its AI-driven analytics to make it more accessible.

Ease of Deployment and Customer Service: Talend Data Fabric is recognized for its straightforward deployment and flexible integration options which make implementation processes easier. Its customer service is efficient and supports rapid issue resolution. IBM Cloud Pak for Data, with its extensive architecture, can present a more complex deployment scenario but offers comprehensive customer support to navigate these complexities and provide guided implementations.

Pricing and ROI: Talend Data Fabric is appreciated for its cost-effective pricing model, offering predictable costs and minimizing initial setup expenses, resulting in a significant ROI. IBM Cloud Pak for Data requires a larger upfront investment but delivers substantial ROI through its comprehensive data solutions and extensive AI capabilities over time, making it an effective investment for organizations targeting in-depth data analysis.

To learn more, read our detailed IBM Cloud Pak for Data vs. Talend Data Fabric Report (Updated: December 2024).

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Fabric

December 2024

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Categories and Ranking

IBM Cloud Pak for Data

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Talend Data Fabric

Ranking in Data Integration

29th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, down from 1.8% compared to the previous year. The mindshare of Talend Data Fabric is 1.5%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Murali B

Associate Manager at Ernst & Young

Provides IBM Watson Catalog and data pipelines, but catalog searching needs to be improved

If people are with the existing stuff, I would definitely suggest they go with IBM Cloud Pak for Data. I usually recommend the solution for the financial sector, where I worked for about ten years. I worked with IBM for almost eight years. Unless they want to migrate to a new product completely, I recommend IBM Cloud Pak for Data to explore current business. It is easy to integrate the tool with other solutions. Except for metadata queries, metadata validations, and metadata integrations, I don't see any issues with the solution. I would recommend the solution to other users if it supports their existing infrastructure. Some people don't want to put their data in the cloud because they are concerned about how the data is secured with encryption and decryption. For such cases, we have listed out all the pros and cons of the solution to suggest them to users. Overall, I rate the solution a seven out of ten.

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KrishnaBaddam

Presales Manager at Artha Solutions

Supports API integrations and enables users to handle data management

Informatica is a well-established product known for its stability. Hardware and configuration can affect its performance, and it's not a lightweight tool that will fail quickly. When purchasing Informatica, you have options based on your needs. A simple data ingestion or integration license is relatively affordable, but the full Data Fabric suite is expensive. The Data Fabric suite includes integration, data quality, API management, big data processing, and real-time capabilities. For those who don't need the entire suite, purchasing individual components, such as data integration or data quality, it is a more cost-effective option. These individual licenses are generally less expensive than the complete Data Fabric suite, offering a more flexible and budget-friendly choice than Informatica's flagship.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"Its data preparation capabilities are highly valuable."

"The most valuable features are data virtualization and reporting."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

"DataStage allows me to connect to different data sources."

More IBM Cloud Pak for Data pros

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

"We've had no issues with the stability so far."

"The Talend data integration has been one of the most valuable features."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

"The initial setup is very easy."

Cons

"The solution's catalog searching or map search needs to be improved."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"The product must improve its performance."

"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."

"The solution could have more connectors."

"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."

"The solution's user experience is an area that has room for improvement."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

More IBM Cloud Pak for Data cons

"I would like to see better integration with other tools."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

Pricing and Cost Advice

"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."

"The solution is expensive."

"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."

"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."

"The solution's pricing is competitive with that of other vendors."

"I think that this product is too expensive for smaller companies."

"It's quite expensive."

"There are no additional licensing fees when you scale"

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

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Top Industries

By visitors reading reviews

Financial Services Firm

29%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

20%

Computer Software Company

16%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

See all answers

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The solution's pricing is competitive with that of other vendors. The pricing also depends on the number of users.

See all answers

What needs improvement with IBM Cloud Pak for Data?

Previously, we used to extract the information in the DSX and the XML formats. IBM Cloud Pak for Data exports information mostly on the ISX, which is an encrypted format. The only challenge with th...

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What do you like most about Talend Data Fabric?

The initial setup is very easy.

See all answers

What needs improvement with Talend Data Fabric?

Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup. With Talend, multiple servers and components need to be properl...

See all answers

What is your primary use case for Talend Data Fabric?

Talend Data Fabric is more than just a typical integration tool; it's a comprehensive suite of tools that includes Talend Data Integration. It supports API integrations, transferring data through A...

See all answers

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 20% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 16% of the time

Denodo vs IBM Cloud Pak for Data

Compared 8% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 5% of the time

More IBM Cloud Pak for Data Competitors

Talend Open Studio vs Talend Data Fabric

Compared 31% of the time

Azure Data Factory vs Talend Data Fabric

Compared 26% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 18% of the time

Alteryx Designer vs Talend Data Fabric

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Fabric

Compared 6% of the time

More Talend Data Fabric Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

December 2024

Download IBM Cloud Pak for Data product report

Buyer's Guide

Data Integration

December 2024

Download Talend Data Fabric product report

Also Known As

Cloud Pak for Data

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IBM

Talend

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, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Information Not Available

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Fabric

December 2024

Free Report: IBM Cloud Pak for Data vs. Talend Data Fabric

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