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Fivetran vs Palantir Gotham comparison

 

Comparison Buyer's Guide

Executive Summary

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
14th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (9th)
Palantir Gotham
Ranking in Data Integration
52nd
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 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 Palantir Gotham is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Fivetran1.8%
Palantir Gotham0.8%
Other97.4%
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.
WH
Manager at a tech services company with 201-500 employees
A seamless all-in-one solution
This solution is seamless. From one platform, we can do just about anything. With other solutions, you'll need a separate platform for data ingestion, manipulation, etc. Then you'll need another tool for reporting. Palantir Gotham literally does it all. It generates a report regardless of the format. It can seamlessly generate it after the data has been collected.

Quotes from Members

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

Pros

"The ease of usability is the most valuable feature. It's very easy and quick to set up. It also has a central hub as opposed to GoldenGate which is one direct interface. For GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."
"The user interface is mostly UI-based, eliminating the need for a lot of coding."
"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 can perform data migration incredibly fast, depending on the source and target."
"We would have to hire multiple data engineers to do what Fivetran does and each would cost us about $200,000 a year."
"The most valuable feature of Fivetran so far is the data replication; 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."
"The solution is stable, and we've never faced any stability issues."
"This solution is seamless. From one platform, we can do just about anything."
"This solution is seamless; from one platform, we can do just about anything."
 

Cons

"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."
"It should have a few more monitoring functionalities."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"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."
"The interface needs to be more user-friendly."
"Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
 

Pricing and Cost Advice

"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 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."
"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"
"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."
"Fivetran is very expensive, and its database-driven pricing model is outdated."
"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."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
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...
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...
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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
Team Rubicon, CGI
Find out what your peers are saying about Informatica, Microsoft, Qlik and others in Data Integration. Updated: May 2026.
892,646 professionals have used our research since 2012.