We performed a comparison between Algolia and Elastic Search based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service."The Algolia solution really helped us to improve our conversion rate and click through rate."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"The solution is stable and reliable."
"The search speed is most valuable and important."
"Dashboard is very customizable."
"The solution has great scalability."
"The products comes with REST APIs."
"Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10."
"It is stable."
"I think they could improve the analytics view."
"The UI point of view is not very powerful because it is dependent on Kibana."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"Kibana should be more friendly, especially when building dashboards."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"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."
"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."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
Algolia is ranked 7th in Search as a Service with 1 review while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Algolia is rated 9.0, while Elastic Search is rated 8.2. The top reviewer of Algolia writes "Focused capabilities, specialists in what they do, with consistent stability". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Algolia is most compared with Amazon AWS CloudSearch, Amazon Kendra, Azure Search and Solr, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Athena.
See our list of best Search as a Service vendors.
We monitor all Search as a Service 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.