Palantir Foundry vs Seeq comparison

Why PeerSpot?

Palantir and Seeq Corporation are both solutions in the Data and Analytics Service Providers category. Palantir is ranked #1 with an average rating of 8.2, while Seeq Corporation is ranked #2 with an average rating of 8.4. Palantir holds a 9.9% mindshare in DaAS, compared to Seeq Corporation’s 1.5% mindshare. Additionally, 93% of Palantir users are willing to recommend the solution, compared to 100% of Seeq Corporation users who would recommend it.

Palantir Foundry

Read 62 Palantir Foundry reviews

18,809 Views
3,009 Comparison Views

93% willing to recommend

Seeq

Read 26 Seeq reviews

1,325 Views
1,312 Comparison Views

100% willing to recommend

Palantir Foundry

Seeq

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Palantir Foundry and Seeq based on real PeerSpot user reviews.

Find out in this report how the two Data and Analytics Service Providers solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

Palantir Foundry vs. Seeq

September 2026

Download the complete report

Helped 915,287 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

Palantir Foundry

Ranking in Data and Analytics Service Providers

1st

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Data and Analytics Service Providers category, the mindshare of Palantir Foundry is 9.9%, down from 10.7% compared to the previous year. The mindshare of Seeq is 1.5%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data and Analytics Service Providers Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	9.9%
Seeq	1.5%
Other	88.6%

Data and Analytics Service Providers

Featured Reviews

reviewer2846265

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.

Read full review

Suradech Kongkiatpaiboon

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.

Read full review

Quotes from Members

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

Pros

"The best features Palantir Foundry offers for my work include that building the ontology is very easy and it is easy to use."

"Palantir Foundry has positively impacted my organization, especially Airbus, as we are dependent on Palantir Foundry for processing the data."

"Palantir Foundry is one of the most advanced tools right now, in my opinion, and it would take over the world very soon."

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

"Based on my experience, Palantir Foundry is extremely easy to learn and adjust to since it is primarily a closed system, meaning that all the functions for data ingestion, data cleaning, machine learning, and related tasks can be performed from within the same system."

"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."

"The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries."

"Palantir Foundry is not just a data platform; it actually connects data engineering, analytics, operations, and decision-making all into one ecosystem."

More Palantir Foundry pros

"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."

"The predictive analytics features have been instrumental in catching excursions early, allowing us to monitor conditions proactively and prevent issues from escalating."

"Seeq has positively impacted my organization by making work more effective, as it used to take months to collect data, model, and filter, but now Seeq saves time, allowing us to complete tasks in a week or less."

"Of course, when data is processed correctly, all three outcomes—saving time, reducing downtime, and improving efficiency—are achievable."

"I've used the prediction part to create different inferences in my industry."

"It's an analytical tool, so it supports all the analytical problems. That is the reason we chose Seeq."

"The product is stable."

"Seeq has positively impacted my organization, and I can share a specific outcome where we have found a new metric on an important piece of equipment to raise the flag when it is underperforming."

More Seeq pros

Cons

"I cannot advise someone to use Palantir Foundry due to cost efficiency and the complexity it introduces in handling large amounts of data."

"The widgets are pretty limited."

"However, a disadvantage is the challenge of connecting data to and from Palantir, which requires coordination with data engineers."

"The Workshop application could be improved because it is not very customizable, but it is still very strong."

"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."

"There are still a lot of changes required in Palantir Foundry to make it more usable or easy to use."

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

"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."

More Palantir Foundry cons

"It would be wonderful if a time series model could be built with the thermodynamic package."

"Seeq could incorporate more closed-loop solutions."

"Sometimes the software would be a bit slow to respond, and that may be because there were too many users at once."

"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."

"I think Seeq could improve by including a section that has SQL-type visualizations to visualize tables of data and not reference them to the timestamp, as that has caused us some problems at times."

"In Seeq Organizer, we've realized that process engineers want dashboards with more drag-and-drop features, like Power BI."

"We face a bit of an issue if there are any server issues or upgrades from Seeq."

"I believe Seeq can be improved because report rollouts on similar pieces of equipment can be challenging."

More Seeq cons

Pricing and Cost Advice

"Palantir Foundry is an expensive solution."

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

"The solution’s pricing is high."

"It's expensive."

"The pricing is average."

"The solution's pricing is comparable to other products."

See which vendors are best for you

Use our free recommendation engine to learn which Data and Analytics Service Providers solutions are best for your needs.

See recommendations

915,287 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

10%

Government

Comms Service Provider

Manufacturing Company

28%

Energy/Utilities Company

12%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	7
Large Enterprise	51

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	20

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 ...

See all answers

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 ...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Accenture AI services vs Palantir Foundry

Compared 6% of the time

Databricks vs Palantir Foundry

Compared 4% of the time

Cognizant AI & Analytics vs Palantir Foundry

Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

Confluent vs Palantir Foundry

Compared 3% of the time

More Palantir Foundry Competitors

HCL Digital & Analytics Services vs Seeq

Compared 31% of the time

Fabric Data vs Seeq

Compared 18% of the time

TigerGraph vs Seeq

Compared 18% of the time

Genpact Augmented Intelligence vs Seeq

Compared 16% of the time

More Seeq Competitors

Product Reports

Buyer's Guide

Palantir Foundry

September 2026

Download Palantir Foundry product report

Buyer's Guide

Seeq

September 2026

Download Seeq product report

Overview

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

Seeq is a powerful platform designed to enhance the connectivity and visualization of industrial data, facilitating seamless workflows and intuitive user interactions. It excels in handling large datasets while enabling predictive models and real-time monitoring without requiring extensive coding skills.

Seeq's ease of use and user-friendly features make it a go-to choice for professionals seeking effective time series data analysis. It supports a wide array of industries including oil and gas by offering comprehensive capabilities like workflow automation, real-time data processing, and predictive analytics. Its flexibility and robust security enhance its appeal, although users note room for growth in areas like dashboard functionality and AI integration. Performance challenges related to server load are also common, highlighting the need for upgraded technical support services.

What are the key features of Seeq?

Connectivity and Visualization: Simplifies integration with diverse data sources, offering intuitive visual dashboards.
Automated Workflows: Streamlines repetitive tasks to enhance efficiency.
Predictive Models: Facilitates quick deployment and monitoring for proactive decision-making.
Large Dataset Handling: Efficiently processes and analyzes extensive data volumes.
Real-Time Monitoring: Enables immediate insights into operational metrics.

What benefits do users report from using Seeq?

Flexibility: Accommodates various data needs and scales with business growth.
Ease of Use: Allows users to leverage features with minimal technical expertise.
Cost Savings: Reduces downtime and prevents failure through predictive insights.
Security and Analytics: Provides robust tools for secure and detailed data analysis.

Industries like oil and gas utilize Seeq for monitoring remote equipment such as compressors and turbines, enabling the analysis of crucial parameters to prevent equipment failures. The platform supports trend visualization, statistical analysis, and facilitates efficient workflow creation, contributing to process optimization and significant cost savings. Its integration capabilities with various data sources enhance its utility for predicting equipment failures and managing downtime effectively.

Seeq Corporation

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense

Information Not Available

Buyer's Guide

Palantir Foundry vs. Seeq

September 2026

Free Report: Palantir Foundry vs. Seeq

Find out what your peers are saying about Palantir Foundry vs. Seeq and other solutions. Updated: September 2026.

DOWNLOAD NOW

915,287 professionals have used our research since 2012.

See our Palantir Foundry vs. Seeq report.

See our list of best Data and Analytics Service Providers vendors.

We monitor all Data and Analytics Service Providers reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.