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 solution has good security features. I have been happy with the dashboards and interface."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"It is stable."
"The tool's stability and performance are good."
"Implementing the main requirements regarding my support portal."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"The interface is really user-friendly."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"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."
"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 provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The virtualization tool is useful."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"Elastic Enterprise Search's tech support is good but it could be improved."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"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."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"The UI point of view is not very powerful because it is dependent on Kibana."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"If you want to create new models on specific data sets, computing that is quite costly."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The solution could use more online documentation for new users."
"The frontend capabilities of Palantir Foundry could be improved."
"The workflow could be improved."
Elastic Search is ranked 9th in Cloud Data Integration with 59 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 13 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, Azure Search, Pinecone and Amazon Kendra, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer. 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.
