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 ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"Search is really powerful."
"Implementing the main requirements regarding my support portal."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"The solution has good security features. I have been happy with the dashboards and interface."
"The solution has great scalability."
"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."
"The interface is really user-friendly."
"The virtualization tool is useful."
"Great features available in one tool."
"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."
"It's scalable."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"There are some features lacking in ELK Elasticsearch."
"The GUI is the part of the program which has the most room for improvement."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"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."
"I would rate the stability a seven out of ten. We faced a few issues."
"Difficult to receive data from external sources."
"If you want to create new models on specific data sets, computing that is quite costly."
"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."
"Cost of this solution is quite high."
"The workflow could be improved."
"Some error messages can be very cryptic."
"The frontend capabilities of Palantir Foundry could be improved."
"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."
Elastic Search is ranked 9th 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.
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