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IBM Cloud Pak for Data vs Qlik Replicate comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
18th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
13
Ranking in other categories
Data Virtualization (3rd)
Qlik Replicate
Ranking in Data Integration
14th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, up from 1.6% compared to the previous year. The mindshare of Qlik Replicate is 3.1%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Murali B - PeerSpot reviewer
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.
KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.

Quotes from Members

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

Pros

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."
"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 is a very, very, very good system."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"Its data preparation capabilities are highly valuable."
"DataStage allows me to connect to different data sources."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"The system is basically user-driven, mostly operating as a local platform."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."
"It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change."
"From a technical perspective, this is an excellent product."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data applications."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
 

Cons

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."
"The product must improve its performance."
"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."
"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."
"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 solution's catalog searching or map search needs to be improved."
"Support-wise, this solution is in need of improvement."
"It would be better if the solution’s pricing were more obvious."
"In the next release, I would like to see closer integration with data catalyst."
"We'd like better connectivity."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
"Some features on the graphical user interface are clunky."
"There is complexity involved in the licensing part of this system."
"The UI and data version control can be improved."
 

Pricing and Cost Advice

"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."
"I think that this product is too expensive for smaller companies."
"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."
"The solution's pricing is competitive with that of other vendors."
"Cloud Pak's cost is a little high."
"It's quite expensive."
"The solution is expensive."
"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."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
"Pricing for this solution is very reasonable."
"Qlik Replicate is not expensive, compared to GoldenGate."
"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Cloud Pak for Data?
DataStage allows me to connect to different data sources.
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.
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...
What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
Some features on the graphical user interface are clunky. Accessing certain functions like replicating from a table after a specific date requires obscure key combinations, which could be made more...
What is your primary use case for Qlik Replicate?
The primary use case is using Qlik Replicate to interface with DB2, allowing for efficient data replication from various sources into a common one or other destinations. It is particularly benefici...
 

Also Known As

Cloud Pak for Data
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about IBM Cloud Pak for Data vs. Qlik Replicate and other solutions. Updated: January 2025.
832,138 professionals have used our research since 2012.