Try our new research platform with insights from 80,000+ expert users

Elastic Search vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

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

Elastic Search
Ranking in Cloud Data Integration
9th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (3rd)
Palantir Foundry
Ranking in Cloud Data Integration
11th
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), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of July 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.1%, up from 0.6% compared to the previous year. The mindshare of Palantir Foundry is 5.6%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.
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.

Quotes from Members

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

Pros

"The most valuable feature of the solution is its utility and usefulness."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"The most valuable feature is the out of the box Kibana."
"X-Pack provides good features, like authorization and alerts."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"I find the solution to be fast."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"I like the data onboarding to Palantir Foundry and ETL creation."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"I rate Palantir Foundry a ten out of ten."
"Great features available in one tool."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The solution offers very good end-to-end capabilities."
"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."
 

Cons

"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"Elastic Enterprise Search's tech support is good but it could be improved."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"Machine learning on search needs improvement."
"There should be more stability."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"The documentation regarding customization could be better."
"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."
"The solution's visualization and analysis could be improved."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"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 solution’s data security could be improved."
"Cost of this solution is quite high."
"Difficult to receive data from external sources."
 

Pricing and Cost Advice

"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"​The pricing and license model are clear: node-based model."
"The tool is not expensive. Its licensing costs are yearly."
"The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive."
"The solution is affordable."
"We are paying $1,500 a month to use the solution. If you want to have endpoint protection you need to pay more."
"An X-Pack license is more affordable than Splunk."
"The price could be better."
"The solution’s pricing is high."
"Palantir Foundry is an expensive solution."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
861,524 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
9%
Government
9%
Manufacturing Company
14%
Financial Services Firm
10%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
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...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Elastic Search vs. Palantir Foundry and other solutions. Updated: July 2025.
861,524 professionals have used our research since 2012.