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Palantir Foundry vs Seeq 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

Palantir Foundry
Ranking in Data and Analytics Service Providers
1st
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (14th), IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (12th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st)
Seeq
Ranking in Data and Analytics Service Providers
2nd
Average Rating
8.2
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data and Analytics Service Providers category, the mindshare of Palantir Foundry is 11.4%, down from 16.1% compared to the previous year. The mindshare of Seeq is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data and Analytics Service Providers
 

Featured Reviews

Rama Subba Reddy Thavva - PeerSpot reviewer
A low-code/no-code platform with a user-friendly UI
We couldn't implement or use some of the latest functionalities, like Spark. Palantir Foundry is scalable, but it is costly compared to other cloud providers. The solution is more suitable for small and medium businesses. It might be difficult for large enterprises. I rate the solution’s scalability a seven out of ten.
Pravin Kuchhadiya - PeerSpot reviewer
Effective predictive part and good technology integration with automation
I have a couple of suggestions for the organization, and I've told them as well. Nowadays, time-series analysis for manufacturing units is a primary need. What they're looking for is the incorporation of artificial intelligence and machine learning into these tools and then getting some insights out of it, which is closed-loop. Till now, we have been facing open-loop solutions. But how to apply these insights or inferences into my manufacturing unit, which is running 24/7? Being an engineer and a person who comes from the industry, I would rather believe in first principles than a data science model. To break the ice, they need to come up with more of the predictive part of it using machine learning techniques, which can be closed-loop solutions, which can help operators and automation engineers to apply these insights into the units rather than keeping it open-loop.

Quotes from Members

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

Pros

"The solution offers very good end-to-end capabilities."
"The interface is really user-friendly."
"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."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"It's scalable."
"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."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"I love how easy Seeq is to use and how quickly you can build an analysis. I've worked in the manufacturing industry for over 30 years, setting up data collection systems to record historical data. Usually, we were trending that data, which isn't very valuable. Being able actually to find value in historical data with Seeq has been great. It's quick and easy to set up monitoring and eliminate nuisance alarms. For example, process alarms typically go off mid-batch when adding materials, causing things to go out of spec. This used to create hundreds of nuisance alarms, but the tool reduces it to just the important ones."
"The tool's most valuable feature is connectivity and visualization. Seeq is a very good product for analyzing time series data using its time intelligence and time performance features."
"The tool is user-friendly."
"The product is stable."
"The solution's most valuable feature is the prediction model."
"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."
"It's an analytical tool, so it supports all the analytical problems. That is the reason we chose Seeq."
"The solution is very scalable."
 

Cons

"The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users."
"Cost of this solution is quite high."
"The solution's visualization and analysis could be improved."
"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 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."
"Difficult to receive data from external sources."
"The frontend capabilities of Palantir Foundry could be improved."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Seeq could work on the reporting format and dashboard."
"The technical support services need improvement."
"Seeq could incorporate more closed-loop solutions."
"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."
"We face a bit of an issue if there are any server issues or upgrades from Seeq."
"Regarding AI, I wish Seeq had AI capabilities. For instance, if Seeq could analyze graphs and offer recommendations, it would be advantageous. Currently, there is no AI feature in Seeq. In terms of improvements, it would be great if Seeq could enhance its data export features and possibly integrate more functionalities to reduce the need for multiple software tools. I would like a specific feature related to predictive analysis, which Seeq currently lacks."
"Sometimes, we face a performance issue in Seeq."
"It would be wonderful if a time series model could be built with the thermodynamic package."
 

Pricing and Cost Advice

"It's expensive."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"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
13%
Financial Services Firm
9%
Computer Software Company
8%
Government
7%
Healthcare Company
15%
Manufacturing Company
11%
Pharma/Biotech Company
11%
Real Estate/Law Firm
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Palantir Foundry?
Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.
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 needs improvement with Seeq?
The technical support services need improvement.
What is your primary use case for Seeq?
I primarily use Seeq to monitor various process tags and notify me when they are outside the expected parameters. The software allows me to analyze substantial amounts of data, which I find quite i...
What advice do you have for others considering Seeq?
Seeq is accessible to anyone, although some prior experience in data analysis can be beneficial for more complex tasks. The predictive analytics features have been instrumental in catching excursio...
 

Comparisons

 

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: July 2025.
865,384 professionals have used our research since 2012.