Try our new research platform with insights from 80,000+ expert users

Fivetran vs IBM Cloud Pak for Data 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

Fivetran
Ranking in Data Integration
12th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
27
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (6th)
IBM Cloud Pak for Data
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
13
Ranking in other categories
Data Virtualization (3rd)
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Fivetran is 2.3%, up from 2.0% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 2.0%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Mediha Šiljić - PeerSpot reviewer
Built-in connectors offer extensive data source integration and time savings
Fivetran could improve by adapting more for technical users and by providing more options for such users. There should be more adaptability in terms of new features. If a specific feature is required, it should be integrated promptly. Improvement in existing connectors with new features is desirable. Enhancements around customer-focused product adaptation are also suggested.
Michelle Leslie - PeerSpot reviewer
Starts strong with data management capabilities but needs a demo database
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. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

Quotes from Members

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

Pros

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."
"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."
"Fivetran is an easy-to-deploy solution for organizations looking at integrating a wide variety of data sources."
"Overall, I would rate Fivetran nine out of ten."
"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."
"The simplicity and scalability are the strongest features of Fivetran."
"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."
"Its data preparation capabilities are highly valuable."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."
"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."
"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."
 

Cons

"I would like to see an improvement in the support offered by Fivetran."
"An in-line data quality checking capability is missing"
"In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option."
"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"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."
"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's user experience is an area that has room for improvement."
"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."
"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."
"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 catalog searching or map search needs to be improved."
 

Pricing and Cost Advice

"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."
"The solution is affordable."
"Fivetran is very expensive, and its database-driven pricing model is outdated."
"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
"The pricing model is okay and mid to large companies will not have an issue with it."
"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."
"The product is reasonably expensive"
"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."
"Cloud Pak's cost is a little high."
"The solution's pricing is competitive with that of other vendors."
"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."
"It's quite expensive."
"I think that this product is too expensive for smaller companies."
"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 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."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
861,481 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
10%
Educational Organization
8%
Financial Services Firm
30%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What's the deal with the HVR software acquisition?
As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...
Does HVR Software provide reliable insights?
I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...
How much traffic can HVR Software handle?
As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...
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 setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem.
What needs improvement with IBM Cloud Pak for Data?
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. There are so many components to data...
 

Also Known As

No data available
Cloud Pak for Data
 

Overview

 

Sample Customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Find out what your peers are saying about Fivetran vs. IBM Cloud Pak for Data and other solutions. Updated: July 2025.
861,481 professionals have used our research since 2012.