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Fivetran vs IBM Cloud Pak for Data comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.6
Fivetran offers significant time and cost-saving benefits, simplifying data integration and maintenance while reducing reliance on data engineers.
Sentiment score
5.1
Users see improved efficiency and ROI with IBM Cloud Pak for Data, streamlining management and boosting compliance and satisfaction.
Fivetran provides time savings, cost reductions, and improvements in data quality.
Team Lead Data Engineer at Data Pilot
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
Lead Data Engineer at Sensilab
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
It has given my teams an edge in data management through automation while adhering to compliance regulations.
Sr. Data Engineer at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.0
Fivetran customer support is efficient yet sometimes slow, rated 7-9, with calls for improved critical issue communication.
Sentiment score
7.1
IBM Cloud Pak for Data's support is responsive, rated highly, and cost-effective, but lacks local language options and has occasional delays.
If they could provide support more quickly, that would be great.
Manager at InfoCepts
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Lead Data Engineer at Sensilab
Customer support from Fivetran is quite good; it's really nice and responsive.
Team Lead Data Engineer at Data Pilot
I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.
Manager at teshama
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
 

Scalability Issues

Sentiment score
7.1
Fivetran scales well for various businesses, accommodating data needs but can be costly and complex for smaller enterprises.
Sentiment score
6.6
IBM Cloud Pak for Data is scalable, efficiently managing growth and large data, with high resource use noted.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
Team Lead Data Engineer at Data Pilot
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.
Manager at teshama
 

Stability Issues

Sentiment score
8.0
Users generally express high satisfaction with Fivetran's stable reliability, despite occasional issues with API connections and custom setups.
Sentiment score
7.8
IBM Cloud Pak for Data is stable with positive performance and integration, though scalability improvements are desired by some users.
They have 99.9% accuracy on the data load and they maintain transparency.
Manager at InfoCepts
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
Team Lead Data Engineer at Data Pilot
During the duration of the time that we used Fivetran, it was highly stable.
Founder at a marketing services firm with 1-10 employees
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
IBM Cloud Pak for Data is stable.
Sr. Data Engineer at a tech vendor with 10,001+ employees
 

Room For Improvement

Fivetran needs improvements in connectors, real-time processing, user interface, pricing, support, documentation, and integration capabilities.
IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader adoption.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Founder at a marketing services firm with 1-10 employees
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Team Lead Data Engineer at Data Pilot
Fivetran could improve by adapting more for technical users and by providing more options for such users.
Lead Data Engineer at Sensilab
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
 

Setup Cost

Fivetran's pricing is high, favoring larger enterprises with discounts available; smaller companies may find it prohibitive.
IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.
Our current yearly contract for Fivetran is approximately $70,000.
Lead Data Engineer at Sensilab
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
 

Valuable Features

Fivetran is valued for seamless data replication, user-friendly interface, scalability, and minimal coding, enabling efficient data handling.
IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across hybrid and multi-cloud environments.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
Lead Data Engineer at Sensilab
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Manager at InfoCepts
The ability to seamlessly integrate with a large variety of data sources is valuable.
Founder at a marketing services firm with 1-10 employees
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
 

Categories and Ranking

Fivetran
Ranking in Data Integration
13th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (9th)
IBM Cloud Pak for Data
Ranking in Data Integration
15th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
22
Ranking in other categories
Data Virtualization (3rd)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Fivetran is 1.8%, down from 2.3% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.1%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Fivetran1.8%
IBM Cloud Pak for Data1.1%
Other97.1%
Data Integration
 

Featured Reviews

Hafiz Usman - PeerSpot reviewer
Team Lead Data Engineer at Data Pilot
Has accelerated data integration workflows and supports seamless development of custom connectors
I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.
Raman Shihan - PeerSpot reviewer
Sr. Data Engineer at a tech vendor with 10,001+ employees
Unified data workflows have transformed how I manage sensitive analytics and end-to-end AI
One of the things that IBM Cloud Pak for Data does well is the data privacy and security that it offers. Since most of my data is very sensitive, IBM privacy framework helps me secure it very conveniently. In my experience, some of the best features that I encounter in IBM Cloud Pak for Data are the AI and Watson Assistant, which is very good. The analytics dashboard featuring all the recent history is very good with IBM. Searching for data through the unified search option is super cool. Among those features, the artificial intelligence that solves everything automatically stands out as most valuable in my day-to-day work, saving a lot of time. I can also store my data in many clouds with all the desired data. The customer service system is excellent and always willing to help. I would also add that the project analytics dashboard, ability to manage data across different cloud platforms, and end-to-end AI lifecycle are very great. IBM Cloud Pak for Data has positively impacted my organization by helping me see some return on investments. I have the ability to access all my data much quicker through the unified search option. It has also improved data security and governance in my organization very well. I've seen a 30% increase in productivity through the introduction of AI with IBM Cloud Pak for Data, which has really simplified a lot of operations that were manually tackled.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
 

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 is your experience regarding pricing and costs for IBM Cloud Pak for Data?
My experience with pricing, setup cost, and licensing is that the cost of the product can be a bit higher, especially for a company working on a tight budget.
What needs improvement with IBM Cloud Pak for Data?
One of the improvements I think should be made to IBM Cloud Pak for Data is that the cost of the product is a bit higher. Besides cost, I think something that is needed for improvement is that more...
What is your primary use case for IBM Cloud Pak for Data?
My main use case for IBM Cloud Pak for Data is that it is fully scalable and a scalable platform for data. I use it to provide data solutions for my customers. I also use it to provide various indu...
 

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: June 2026.
900,747 professionals have used our research since 2012.