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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:
 

ROI

Sentiment score
9.1
Evanios improved event visibility, reduced IT hours, increased system reliability, and provided over 100% ROI with up to 90% noise reduction.
Sentiment score
5.1
Users report time and cost savings with Palantir Foundry, but quantifying ROI and financial specifics remains challenging.
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
Data Engineering Specialist at LTM
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
Consultant at a tech vendor with 1,001-5,000 employees
One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Customer Service

Sentiment score
8.9
Evanios offers exceptional customer service and technical support, known for rapid, knowledgeable assistance and a proactive, friendly approach.
Sentiment score
6.2
Palantir Foundry's customer service is competent and proactive, though experiences vary based on contract and user needs.
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
Enterprise Architect at a mining and metals company with 10,001+ employees
When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.
Data Analyst at BP Exploration Caspian Sea Ltd
The support staff are extremely knowledgeable and good at what they are doing.
Operations And Integration Chief at a aerospace/defense firm with 10,001+ employees
 

Scalability Issues

Sentiment score
8.6
Evanios is highly scalable, effectively handling diverse applications through flexible rules and configurations despite occasional bottlenecks.
Sentiment score
6.1
Palantir Foundry is praised for scalability, flexibility, and adaptability across business sizes, despite cloud cost concerns.
We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
For scalability, I would rate it ten out of ten because you have a lot of flexibility.
Associate Vice President at a insurance company with 10,001+ employees
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
Data Engineering Specialist at LTM
 

Stability Issues

Sentiment score
8.7
Users praise Evanios for its stability and reliability, marking significant improvement over previous platforms with no reported issues.
Sentiment score
7.7
Palantir Foundry is stable and reliable, with minor issues quickly resolved, though some suggest marketing may overstate capabilities.
Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.
Product Manager
I get more technical support from Palantir.
Data Development Manager at a healthcare company with 5,001-10,000 employees
Palantir Foundry has been a stable and reliable enterprise platform.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Room For Improvement

Evanios needs better alert management, integration, and cost efficiency, leading users to consider alternatives like PagerDuty for added features.
Palantir Foundry needs enhanced training, cost-efficiency, ease of use, integration, automation, and AI for improved user experience.
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.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.
Principal Architect at HCLTech
An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.
Engineer, Data Engineering at GlobalFoundries
 

Setup Cost

Palantir Foundry's high cost is justified for enterprises by reduced development needs and centralized capabilities despite complex licensing.
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
Enterprise Architect at a mining and metals company with 10,001+ employees
In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.
Data Development Manager at a healthcare company with 5,001-10,000 employees
We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.
Principal Architect at HCLTech
 

Valuable Features

Evanios offers powerful, flexible event processing with seamless ServiceNow integration, user-friendly rule types, and adaptable JavaScript manipulation.
Palantir Foundry enhances data-driven decisions with strong AI, user-friendly tools, robust security, and seamless integration for all users.
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.
Architect at L&T Technology Services
The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.
Associate Vice President at a insurance company with 10,001+ employees
The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.
Consultant at a tech vendor with 1,001-5,000 employees
 

Categories and Ranking

Evanios
Ranking in IT Operations Analytics
17th
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Event Monitoring (16th), IT Infrastructure Monitoring (64th)
Palantir Foundry
Ranking in IT Operations Analytics
4th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
62
Ranking in other categories
Data Integration (3rd), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of August 2026, in the IT Operations Analytics category, the mindshare of Evanios is 3.2%, up from 0.6% compared to the previous year. The mindshare of Palantir Foundry is 3.8%, down from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Operations Analytics Mindshare Distribution
ProductMindshare (%)
Palantir Foundry3.8%
Evanios3.2%
Other93.0%
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.
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.
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
14%
Financial Services Firm
10%
Government
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise50
 

Questions from the Community

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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...
 

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: August 2026.
909,725 professionals have used our research since 2012.