We performed a comparison between Elastic Search and Pinecone based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases."The solution has good security features. I have been happy with the dashboards and interface."
"The solution has great scalability."
"The solution is valuable for log analytics."
"The AI-based attribute tagging is a valuable feature."
"The most valuable feature is the out of the box Kibana."
"Search is really powerful."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"The UI is very nice, and performance wise it's quite good too."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"We chose Pinecone because it covers most of the use cases."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx)."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"They could improve some of the platform's infrastructure management capabilities."
"Could have more open source tools and testing."
"The GUI is the part of the program which has the most room for improvement."
"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release."
"The product fails to offer a serverless type of storage capacity."
"Onboarding could be better and smoother."
Elastic Search is ranked 1st in Vector Databases with 59 reviews while Pinecone is ranked 5th in Vector Databases with 2 reviews. Elastic Search is rated 8.2, while Pinecone is rated 8.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Pinecone writes "A reliable cloud solution for building an ERP dashboard". Elastic Search is most compared with Faiss, Milvus, Azure Search, Amazon Kendra and OpenText IDOL, whereas Pinecone is most compared with OpenSearch, Faiss, Qdrant, Redis and LanceDB.
See our list of best Vector Databases vendors.
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