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Fivetran vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 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
11th
Ranking in Cloud Data Integration
8th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd)
Palantir Foundry
Ranking in Data Integration
12th
Ranking in Cloud Data Integration
11th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (10th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Fivetran is 1.9%, down from 2.1% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Fivetran1.9%
Palantir Foundry2.1%
Other96.0%
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.
BA
Associate Vice President at a insurance company with 10,001+ employees
Unified data workflows have empowered collaborative analytics and streamlined AI development
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

Quotes from Members

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

Pros

"Overall, I would rate Fivetran nine out of ten."
"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."
"You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."
"Fivetran's most valuable feature is replication."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"Fivetran can perform data migration incredibly fast, depending on the source and target."
"Fivetran provides time savings, cost reductions, and improvements in data quality, and when the time investment decreases, fewer developers are needed, which means significant savings."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Great features available in one tool."
"The interface is really user-friendly."
"The AI engine that comes with Palantir Foundry is quite interesting."
"The virtualization tool is useful."
"It's scalable."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
 

Cons

"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."
"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."
"This solution needs to improve its real-time data and transformation availability."
"More connectors are needed for exotic, popular, and rising star portals."
"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."
"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."
"It should have a few more monitoring functionalities."
"If Fivetran can build in more transformations, that would be really helpful in my opinion."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Cost of this solution is quite high."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The solution's visualization and analysis could be improved."
 

Pricing and Cost Advice

"The product is reasonably expensive"
"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."
"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."
"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."
"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 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."
"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."
"Fivetran is very expensive, and its database-driven pricing model is outdated."
"Palantir Foundry is an expensive solution."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"The solution’s pricing is high."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Financial Services Firm
10%
Manufacturing Company
9%
Retailer
6%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
University
7%
 

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 Business4
Midsize Enterprise5
Large Enterprise9
 

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 needs improvement with Palantir Foundry?
Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything out...
What is your primary use case for Palantir Foundry?
One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves hig...
What advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
 

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
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Fivetran vs. Palantir Foundry and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.