Fivetran vs IBM Cloud Pak for Integration comparison

Cancel
You must select at least 2 products to compare!
Fivetran Logo
2,536 views|1,730 comparisons
86% willing to recommend
IBM Logo
837 views|583 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Fivetran and IBM Cloud Pak for Integration based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Fivetran vs. IBM Cloud Pak for Integration Report (Updated: March 2024).
770,394 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The simplicity of the solution is its valuable feature.""Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors.""Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly.""The solution is stable. We've never faced any stability issues.""The compare feature is the most valuable piece of it.""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.""The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."

More Fivetran Pros →

"Cloud Pak for Integration is definitely scalable. That is the most important criteria.""It is a stable solution.""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.""The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

More IBM Cloud Pak for Integration Pros →

Cons
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly.""The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums.""Fivetran should add more connectors because its competitors, like Airbyte, have more connectors.""HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed.""It should have a few more monitoring functionalities.""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.""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.""Fivetran would be improved by adding the ability to integrate the data from third-party APIs."

More Fivetran Cons →

"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.""The initial setup is not easy.""Its queuing and messaging features need improvement.""The pricing can be improved."

More IBM Cloud Pak for Integration Cons →

Pricing and Cost Advice
  • "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."
  • "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."
  • "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."
  • "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."
  • "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."
  • "The pricing model is okay and mid to large companies will not have an issue with it."
  • "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."
  • More Fivetran Pricing and Cost Advice →

  • "The solution's pricing model is very flexible."
  • "It is an expensive solution."
  • More IBM Cloud Pak for Integration Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
    770,394 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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 some… more »
    Top Answer: 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… more »
    Top Answer: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 Software… more »
    Top Answer: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… more »
    Top Answer:The use cases involve connecting and converting data from one system to another, often involving alterations in the data's format or structure.
    Ranking
    6th
    Views
    2,536
    Comparisons
    1,730
    Reviews
    15
    Average Words per Review
    603
    Rating
    8.0
    14th
    Views
    837
    Comparisons
    583
    Reviews
    1
    Average Words per Review
    498
    Rating
    9.0
    Comparisons
    Learn More
    Overview

    Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections. 

    Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and resources.

    IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.

    Sample Customers
    DocuSign, Oldcastle Infrastructure, Crossmedia, Talkdesk, Chubbies, Brandwatch
    CVS Health Corporation
    Top Industries
    REVIEWERS
    Manufacturing Company42%
    Outsourcing Company17%
    Transportation Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Educational Organization24%
    Computer Software Company12%
    Financial Services Firm11%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Manufacturing Company7%
    Government7%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise25%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise30%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Buyer's Guide
    Fivetran vs. IBM Cloud Pak for Integration
    March 2024
    Find out what your peers are saying about Fivetran vs. IBM Cloud Pak for Integration and other solutions. Updated: March 2024.
    770,394 professionals have used our research since 2012.

    Fivetran is ranked 6th in Cloud Data Integration with 19 reviews while IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews. Fivetran is rated 8.0, while IBM Cloud Pak for Integration is rated 8.6. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Microsoft Azure API Management. See our Fivetran vs. IBM Cloud Pak for Integration report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.