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Palantir Foundry vs Seeq comparison

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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

Palantir Foundry
Ranking in Data and Analytics Service Providers
1st
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
62
Ranking in other categories
Data Integration (2nd), IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st)
Seeq
Ranking in Data and Analytics Service Providers
2nd
Average Rating
8.2
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Data and Analytics Service Providers category, the mindshare of Palantir Foundry is 9.3%, down from 10.9% compared to the previous year. The mindshare of Seeq is 1.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data and Analytics Service Providers Mindshare Distribution
ProductMindshare (%)
Palantir Foundry9.3%
Seeq1.5%
Other89.2%
Data and Analytics Service Providers
 

Featured Reviews

reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
Suradech Kongkiatpaiboon - PeerSpot reviewer
Senior Process Engineer at Chevron
Centralized analytics has transformed time series optimization and collaboration across teams
In my opinion, the best feature Seeq offers is the ability to visualize time series data in an efficient way. If we code it by ourselves, it will take a very long time or require a lot of server capacity, and you cannot simply plot a time series of, say, 100,000 records on your own simply because it takes a lot of effort to do that. Analyzing it when we apply any formula or algorithm takes more time to finalize everything. Seeq does this through drag and drop and point and click actions. So, it is much easier to do it by using this tool. Seeq has positively impacted my organization because I see many people using it, compared to the past five years when we had only PI Vision for visualizing time series data. Manipulating time series data was such a critical task that not many people were familiar with and were afraid to do. This task remains a core critical function for everyone to do it efficiently in order to complete anything. Process optimization and reliability analysis would address all failure modes.

Quotes from Members

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

Pros

"Palantir Foundry has improved with the generation of AI, and I think the governance and security are both good things to have in Palantir Foundry."
"I rate Palantir Foundry a ten out of ten."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"Palantir Foundry has positively impacted my organization with over 200 projects completed efficiently and effectively, and they are very complex projects."
"Combining data sources and hosting models in Palantir Foundry has helped my work because it is convenient to work in one environment rather than moving from one application to another, as Palantir Foundry allows for that one-stop shop where I can accomplish much of the work."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"With Palantir Foundry, it helps us have better benefits and better return on investment, and also accelerates the right decision in the market."
"Palantir Foundry has positively impacted my organization by saving time in creating agents and dashboards and definitely enhancing collaboration."
"I have seen a return on investment as I saved a lot of millions of dollars for my business unit since we started using Seeq."
"AI is great in Seeq. You have a good feature that allows you to convert a Python algorithm built in Seeq Data Lab into a user-friendly interface."
"The product is stable."
"Prior to switching, the same amount of work that takes three to four hours on Seeq would have taken a day or two on PI Vision, representing significant manpower reduction, with one person able to oversee fifty to sixty assets at once, compared to needing four or five people for the same job with other tools."
"This resulted in a net savings of approximately one million dollars of extra product per year."
"Seeq helps me with building those prediction models by making the process much faster, and its pre-processing capabilities are exactly what I need, making it a comprehensive platform for doing everything I need to do in data analytics."
"I've used the prediction part to create different inferences in my industry."
"I love how easy Seeq is to use and how quickly you can build an analysis."
 

Cons

"Palantir Foundry's stability is sometimes good and sometimes not; there are blunders and issues."
"However, a disadvantage is the challenge of connecting data to and from Palantir, which requires coordination with data engineers."
"The widgets are pretty limited."
"Difficult to receive data from external sources."
"From an organizational perspective, it is advisable to note that initially, the cost may be low, but as time passes, cost can be a significant factor in deciding whether to continue using Palantir Foundry or not, so those considerations should be taken into account."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"In my use of Palantir Foundry, many people can go in there and create datasets, save datasets, and share datasets. However, if many people make datasets of low quality or if they are using the same name for datasets, it can get very confusing."
"For example, exporting data from Palantir Foundry is very difficult and has many limitations."
"However, the downsides are that it still requires a certain level of expertise to use the tools effectively, and it seems to be built for someone more devoted to the applications."
"However, the product is challenging to use given the multitude of features, and not everyone can immediately start using it, particularly on the administration side."
"In terms of needed improvements, for machine monitoring, we used to create our own software to conduct monitoring."
"Seeq could incorporate more closed-loop solutions."
"The technical support services need improvement."
"I have noticed that Seeq sometimes struggles with connectivity issues, leading to data gaps. This is an area that needs improvement. While connecting to data, sometimes, due to connection loss or issues with the tool itself, the tags may not display any trends, resulting in missing information."
"I have noticed that Seeq sometimes struggles with connectivity issues, leading to data gaps."
"But customers who purchase Seeq and expect its dashboarding feature to be competitive with Power BI and Grafana might be disappointed."
 

Pricing and Cost Advice

"It's expensive."
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"The solution's pricing is comparable to other products."
"The pricing is average."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
10%
Government
7%
Comms Service Provider
6%
Manufacturing Company
28%
Energy/Utilities Company
12%
Construction Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise51
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise20
 

Questions from the Community

What needs improvement with Palantir Foundry?
The Workshop application could be improved because it is not very customizable, but it is still very strong. We also have the React OSK apps, but it does not allow the inbuilt applications such as ...
What is your primary use case for Palantir Foundry?
My main use case for Palantir Foundry is to solve business problems, such as in healthcare. I also worked on a project for a law firm where thousands of PDFs were coming in, and we needed to check ...
What advice do you have for others considering Palantir Foundry?
I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples...
What needs improvement with Seeq?
I believe Seeq can be improved because report rollouts on similar pieces of equipment can be challenging. If Seeq had an easier way to modify our tag structure, then duplicating reports onto simila...
What is your primary use case for Seeq?
My main use case for Seeq is incident investigations. Upon unexpected quality results, incident investigations can start to determine where the incident first began occurring. Seeq allows the retro...
What advice do you have for others considering Seeq?
My advice to others looking into using Seeq is to pursue it. There are more opportunities with your own equipment than you know without examining them through the lens of Seeq. I would rate this pr...
 

Overview

 

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Information Not Available
Find out what your peers are saying about Palantir Foundry vs. Seeq and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.