Fivetran vs IBM Cloud Pak for Integration comparison

Fivetran and IBM are both solutions in the Cloud Data Integration category. Fivetran is ranked #9 with an average rating of 8.7, while IBM is ranked #20 with an average rating of 8.0. Fivetran holds a 3.9% mindshare in CDI, compared to IBM’s 1.2% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Fivetran

Read 29 Fivetran reviews

8,099 Views
2,916 Comparison Views

90% willing to recommend

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

2,500 Views
900 Comparison Views

100% willing to recommend

Fivetran

IBM Cloud Pak for Integration

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Executive SummaryUpdated on Dec 3, 2024

Fivetran and IBM Cloud Pak for Integration compete in the data integration space. Fivetran stands out for its simplicity and ease of setup, while IBM Cloud Pak for Integration is favored for its comprehensive feature set, making it more suitable for complex environments.

Features: Fivetran offers automated data connectors, seamless ETL processes, and an intuitive user interface, making data integration easy and rapid. IBM Cloud Pak for Integration includes advanced API management, messaging, and event streaming, which cater to complex enterprise requirements. Fivetran focuses on streamlined data consolidation, whereas IBM provides extensive integration capabilities for broader infrastructure needs.

Room for Improvement: Fivetran could enhance its data filtering capabilities, offer more flexibility in deployment options, and improve integration with certain platforms. IBM Cloud Pak for Integration could benefit from simplifying its deployment process, improving initial setup times, and providing clearer pricing structures.

Ease of Deployment and Customer Service: Fivetran provides a cloud-based deployment known for quick setup and minimal maintenance with efficient customer service. IBM Cloud Pak for Integration offers flexible deployment options, including on-premise, cloud, or hybrid systems, catering to various enterprise needs but potentially involving longer setup processes. The difference lies in Fivetran’s straightforward deployment versus IBM’s adaptable and intricate options.

Pricing and ROI: Fivetran features a transparent pricing model with lower initial costs, offering quick ROI through swift deployment and reduced operational overhead. IBM Cloud Pak for Integration involves higher setup costs but emphasizes long-term ROI by supporting complex infrastructure integration capabilities. The primary difference is Fivetran’s cost-efficiency for simpler setups versus IBM’s investment value in extensive integration solutions.

To learn more, read our detailed Fivetran vs. IBM Cloud Pak for Integration Report (Updated: August 2026).

Buyer's Guide

Fivetran vs. IBM Cloud Pak for Integration

August 2026

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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 Cloud Data Integration

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (14th), Data Replication (3rd)

IBM Cloud Pak for Integration

Ranking in Cloud Data Integration

20th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (29th)

Mindshare comparison

As of August 2026, in the Cloud Data Integration category, the mindshare of Fivetran is 3.9%, down from 5.6% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 1.2%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	3.9%
IBM Cloud Pak for Integration	1.2%
Other	94.9%

Cloud Data Integration

Featured Reviews

Hafiz Usman

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.

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Igor Khalitov

Owner/Full Stack Software Engineer at Maraphonic, Inc.

Manages APIs and integrates microservices with redirection feature

IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Additionally, it supports incremental deployments, allowing you to shift traffic to a new version of an API gradually. For example, you can start by directing 10% of traffic to the new version while the rest continue using the legacy version. If everything works as expected, you can gradually increase the traffic to the new version over time. IBM Cloud Pak for Integration has a client base that includes numerous organizations using AI and machine learning technologies. We leverage an open-source machine learning framework and integrate it with Kafka to help create and manage various products and data retrieval processes. For companies with private data, the framework first retrieves relevant data from a GitHub database, which is then combined with the final request before being sent to a language model like GPT. This ensures that the language model uses your specific data to generate responses. Kafka plays a key role by streaming real-time data from file systems and databases like Oracle and Microsoft SQL. This data is published to Kafka topics, then vectorized and used with artificial intelligence to enhance the overall process. It's like an old-fashioned approach. The best way is to redesign it with products such as Kafka. Overall, I rate the solution an eight out of ten.

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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

"SysTrack load is the best feature."

"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."

"HVR Software's most valuable features are that it's simple to use and allows us to use the command line to quickly complete the entire universal replicative setup."

"The portal is very intuitive and easy to use."

"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 offers native connectivity with Sybase"

"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."

"The compare feature is the most valuable piece of it."

More Fivetran pros

"It is a stable solution."

"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."

"In general, the solution works very, very well."

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

Cons

"The connections with SAP must be improved."

"This solution needs to improve its real-time data and transformation availability."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"The experience of using SDK connectors can be improved, as it lacks computational power, which is an area that needs enhancement."

"Fivetran could improve in the area of customization, especially in how they socialize their tools."

"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."

"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

More Fivetran cons

"Enterprise bots are needed to balance products like Kafka and Confluent."

"The initial setup is not easy."

"The pricing can be improved."

"Its queuing and messaging features need improvement."

"What needs to be improved is the restriction that they have on the product."

"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."

Pricing and Cost Advice

"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 solution is affordable."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"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."

"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

More Fivetran pricing and cost advice

"The solution's pricing model is very flexible."

"It is an expensive solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

13%

Manufacturing Company

12%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

No data available

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...

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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 ...

See all answers

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...

See all answers

What needs improvement with IBM Cloud Pak for Integration?

Enterprise bots are needed to balance products like Kafka and Confluent.

See all answers

What is your primary use case for IBM Cloud Pak for Integration?

It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...

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What advice do you have for others considering IBM Cloud Pak for Integration?

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Comparisons

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Compared 5% of the time

Denodo vs Fivetran

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Fivetran

Compared 3% of the time

AWS Database Migration Service vs Fivetran

Compared 3% of the time

Oracle GoldenGate vs Fivetran

Compared 3% of the time

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AWS Glue vs IBM Cloud Pak for Integration

Compared 12% of the time

AVAP Sphere vs IBM Cloud Pak for Integration

Compared 10% of the time

IBM App Connect vs IBM Cloud Pak for Integration

Compared 9% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 9% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 7% of the time

More IBM Cloud Pak for Integration Competitors

Product Reports

Buyer's Guide

Fivetran

August 2026

Download Fivetran product report

Buyer's Guide

API Management

August 2026

Download IBM Cloud Pak for Integration product report

Overview

Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.

Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.

What are the key features of Fivetran?

Ease of Use: Intuitive platform minimizing setup complexity
Scalability: Adapt to growing data needs efficiently
Powerful Connectors: Seamless integration with diverse data sources
Real-Time Synchronization: Instant data updates supporting timely insights
DBT Integration: Simplifies transformations within ETL workflows
Transparent Logging: Provides clear visibility into operations

Which benefits can users expect in reviews?

Cost-Effective Scalability: Manage increased data without significant financial impact
Minimal Coding: Reduces technical barriers enhancing accessibility
Comprehensive Data Management: Centralizes diverse data streams effectively
Timely Analytics: Real-time updates foster actionable insights
Streamlined Workflow Management: Efficiently handles complex ETL processes

In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.

Fivetran

IBM Cloud Pak for Integration offers multi-cloud management and automation, focusing on connecting core systems for seamless integration using advanced technologies and efficient API management.

IBM Cloud Pak for Integration provides flexibility, automation, and accounting tools on the OpenShift Container Platform, easing license and management. Among its notable features are effective streaming capabilities, simplified policy implementation via JCP, and enhanced control with redirection, particularly beneficial for microservices management. Its stability and practical container management are major advantages. However, limitations include exclusive IBM product deployment over OpenShift and complex initial setup. Users seek better pricing, enhanced streaming features, improved queuing and messaging, and integration with monitoring tools. Enhanced enterprise bots are needed for balance with Kafka and Confluent.

What are IBM Cloud Pak for Integration's key features?

Flexibility: Supports multi-cloud management and automation for seamless integration.
Streaming: Effective streaming feature for data processing and policy implementation.
Redirection: Enhances control and access for microservices management.
OpenShift Platform: Simplifies licensing and management with container technology.

What benefits should users look for in reviews?

Efficiency: Simplified policy implementation and automation reduce operational challenges.
Control: Enhanced management of microservices and APIs for streamlined operations.
Stability: Robust container management for consistent performance.
Integration: Supports integration with multiple technologies like Kafka and DataPower.

Implemented across industries like travel and banking, IBM Cloud Pak for Integration aids in connecting core systems and enables effective automation and API management. It supports data conversion, format alterations, and comprehensive management of numerous APIs, providing deployment options based on specific needs.

IBM

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

CVS Health Corporation

Buyer's Guide

Fivetran vs. IBM Cloud Pak for Integration

August 2026

Free Report: Fivetran vs. IBM Cloud Pak for Integration

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