We performed a comparison between Elastic Search and Palantir Foundry based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The special text processing features in this solution are very important for me."
"The solution has good security features. I have been happy with the dashboards and interface."
"It is easy to scale with the cluster node model."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"The products comes with REST APIs."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Great features available in one tool."
"The AI engine that comes with Palantir Foundry is quite interesting."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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 solution offers very good end-to-end capabilities."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"I would like to see more integration for the solution with different platforms."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"The different applications need to be individually deployed."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"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."
"Kibana should be more friendly, especially when building dashboards."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Cost of this solution is quite high."
"Difficult to receive data from external sources."
"If you want to create new models on specific data sets, computing that is quite costly."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
"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."
Elastic Search is ranked 10th in Cloud Data Integration with 59 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 14 reviews. Elastic Search is rated 8.2, while Palantir Foundry is rated 7.6. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Denodo. See our Elastic Search vs. Palantir Foundry report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration 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.
