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 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."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"It helps us to analyse the logs based on the location, user, and other log parameters."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"Dashboard is very customizable."
"Implementing the main requirements regarding my support portal."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"It's scalable."
"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 data lineage is great."
"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."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The virtualization tool is useful."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"The metadata gets stored along with indexes and isn't queryable."
"Elastic Enterprise Search's tech support is good but it could be improved."
"The reports could improve."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"I would like to see more integration for the solution with different platforms."
"We'd like more user-friendly integrations."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"The workflow could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"If you want to create new models on specific data sets, computing that is quite costly."
"The frontend capabilities of Palantir Foundry could be improved."
"The solution could use more online documentation for new users."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"Some error messages can be very cryptic."
"Cost of this solution is quite high."
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, Pinecone, Azure Search 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.
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