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Evanios vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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

Evanios
Ranking in IT Operations Analytics
19th
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Event Monitoring (17th), IT Infrastructure Monitoring (66th)
Palantir Foundry
Ranking in IT Operations Analytics
10th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (12th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of January 2026, in the IT Operations Analytics category, the mindshare of Evanios is 1.9%, up from 0.7% compared to the previous year. The mindshare of Palantir Foundry is 4.0%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Operations Analytics Market Share Distribution
ProductMarket Share (%)
Palantir Foundry4.0%
Evanios1.9%
Other94.1%
IT Operations Analytics
 

Featured Reviews

DM
Director at a tech vendor with 1,001-5,000 employees
Customizable solution that provides the ability to ingest alerts from different systems
The price could be cheaper. That was one reason why we switched to PagerDuty. We wanted to switch to something that provided the same features but at a lower cost. We also switched because PagerDuty provided other features like integration with ServiceNow and the scheduling of engineers. Evanios was only for event integration. Evanios created too much noise. For every alert, it would create an incident. We received too many alerts and incidents from monitoring. It wasn't able to intelligently ingest alerts. It created 4,000 incident tickets in a month, which didn't reflect what was happening. If we received an alert, the synthetic monitoring and volume drop would give us the same alert. Evanios should include alert ingestion and de-duplication of alerts and noise reduction. We couldn't have people resolving each and every incident. PagerDuty gives us reports on how many alerts are being ingested, how many are noise, how many have bigger incidents, and which of the alerts are creating noise. It would be helpful if Evanios had metrics on the amount of alerts and types of the alerts to show which ones were serious incidents and which ones were just noise.
SR
Architect at L&T Technology Services
Finds security and customization features impressive, although cost concerns persist
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms. Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use. The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable. I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security. The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database. 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. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.

Quotes from Members

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

Pros

"Provided up to a 90% noise reduction in some our noisy monitoring tools."
"The most valuable feature is the integration with various alert-generating systems because you might have synthetic alerts or monitoring alerts for volume drops."
"The ability to manipulate events via JavaScript getting the exact data that we want."
"Great features available in one tool."
"I rate Palantir Foundry a ten out of ten."
"The solution offers very good end-to-end capabilities."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"I like the data onboarding to Palantir Foundry and ETL creation."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The AI engine that comes with Palantir Foundry is quite interesting."
 

Cons

"We would like the ability to have an "exit" option for events when they are being processed."
"More complex correlation rules would be nice. The ability to clearly define a parent event in a correlation and nested correlations, specifically."
"The price could be cheaper."
"Cost of this solution is quite high."
"The solution's visualization and analysis could be improved."
"The solution’s data security could be improved."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"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."
"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."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Difficult to receive data from external sources."
 

Pricing and Cost Advice

Information not available
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

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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 advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
 

Overview

 

Sample Customers

Greenville Health System, Land O’Lakes, AstraZeneca
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Evanios vs. Palantir Foundry and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.