Fivetran vs Palantir Foundry comparison

Fivetran and Palantir are both solutions in the Data Integration category. Fivetran is ranked #14 with an average rating of 8.3, while Palantir is ranked #13 with an average rating of 8.0. Fivetran holds a 1.8% mindshare in DI, compared to Palantir’s 2.1% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 88% of Palantir users who would recommend it.

Fivetran

Read 29 Fivetran reviews

6,307 Views
3,973 Comparison Views

90% willing to recommend

Palantir Foundry

Read 18 Palantir Foundry reviews

11,675 Views
4,904 Comparison Views

88% willing to recommend

Fivetran

Palantir Foundry

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 3, 2024

Palantir Foundry and Fivetran are competitive solutions in the data integration and management sector. Palantir Foundry holds the upper hand in offering a comprehensive analytics platform with advanced data handling capabilities, while Fivetran appeals to businesses prioritizing simplicity and speed.

Features: Palantir Foundry offers robust data modeling with complex data processing, comprehensive analytics capabilities, and supports high customization and scalability for large enterprises. Fivetran provides automated, no-code data pipeline creation, extensive pre-built connectors for seamless data source integration, and simplicity with fast deployment.

Room for Improvement: Palantir Foundry could improve by reducing setup complexity, enhancing user-friendliness, and lowering initial investment requirements. Fivetran can expand its customization options, offer more complex data processing capabilities, and improve integration flexibility for larger enterprises.

Ease of Deployment and Customer Service: Palantir Foundry requires significant setup, offering extensive support for tailored solutions, contrasting Fivetran’s plug-and-play model that reduces initial setup time with straightforward documentation and reliable customer support.

Pricing and ROI: Palantir Foundry involves higher upfront costs due to its extensive features, offering long-term ROI for complex enterprise needs. Fivetran provides a cost-effective solution with competitive pricing, offering rapid ROI with lower implementation costs, appealing especially to smaller businesses.

To learn more, read our detailed Fivetran vs. Palantir Foundry Report (Updated: May 2026).

Buyer's Guide

Fivetran vs. Palantir Foundry

May 2026

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Helped 893,438 peers since 2012

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

Ranking in Cloud Data Integration

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd)

Palantir Foundry

Ranking in Data Integration

13th

Ranking in Cloud Data Integration

10th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

IT Operations Analytics (8th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

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 Foundry is 2.1%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	2.1%
Fivetran	1.8%
Other	96.1%

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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Sai Arun Bandhakavi

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.

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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

"The general data ingestion is valuable; it's used for a lot of data and provides about 90% of the data we use in our data warehouse without needing data engineering."

"Fivetran can perform data migration incredibly fast, depending on the source and target."

"The simplicity of the solution is its valuable feature."

"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."

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

"It is not like a traditional ETL, but it gives quite a lot of flexibility."

"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 solution is stable. We've never faced any stability issues."

More Fivetran pros

"Live video sessions enhance the available documentation and allow you to ask questions directly."

"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."

"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."

"I like the data onboarding to Palantir Foundry and ETL creation."

"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."

"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."

"I rate Palantir Foundry a ten out of ten."

"The data lineage is great."

More Palantir Foundry pros

Cons

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

"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."

"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."

"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."

"I would like for them to incorporate additional transformations."

"Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

"The interface needs to be more user-friendly."

"The environment must be more development-friendly."

More Fivetran cons

"The one area where improvement could be made is the cost of the solution which is quite expensive."

"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."

"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."

"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."

"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."

"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."

"It requires a lot of manual work and is very time-consuming to get to a functional point."

"The solution’s data security could be improved."

More Palantir Foundry cons

Pricing and Cost Advice

"The product is reasonably expensive"

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

"The solution is affordable."

"The pricing model is okay and mid to large companies will not have an issue with it."

"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."

"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."

More Fivetran pricing and cost advice

"The solution’s pricing is high."

"Palantir Foundry has different pricing models that can be negotiated."

"Palantir Foundry is an expensive solution."

"It's expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Manufacturing Company

13%

Financial Services Firm

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	5
Large Enterprise	13

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 Palantir Foundry?

See all answers

What is your primary use case for Palantir Foundry?

There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...

See all answers

What advice do you have for others considering Palantir Foundry?

The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...

See all answers

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Product Reports

Buyer's Guide

Fivetran

May 2026

Download Fivetran product report

Buyer's Guide

Palantir Foundry

April 2026

Download Palantir Foundry 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

Palantir Foundry offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.

Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.

What are the key features of Palantir Foundry?

User-friendly interface enabling easy data governance and automation.
Real-time integration with strong data analysis and collaboration tools.
Low-code/no-code development to widen accessibility.
Digital twin capabilities for bi-directional process integration.
Strong data lineage, predictive analytics, and visualization tools.
Flexibility and customization options.

What benefits and ROI could reviews highlight?

Improved decision-making through enhanced data visibility.
Increased efficiency with automated data processes.
Broader accessibility to data insights via low-code options.
Enhanced collaboration and integration between departments.
Potential cost savings through streamlined operations.

In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.

Palantir

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

Buyer's Guide

Fivetran vs. Palantir Foundry

May 2026

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