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."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"Data indexing of historical data is the most beneficial feature of the product."
"The initial setup is very easy for small environments."
"The most valuable features are the ease and speed of the setup."
"The most valuable features are the data store and the X-pack extension."
"The solution is quite scalable and this is one of its advantages."
"The search speed is most valuable and important."
"I think they could improve the analytics view."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"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."
"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."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"Could have more open source tools and testing."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"The documentation regarding customization could be better."
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, Azure Search, Pinecone and Amazon AWS CloudSearch.
See our list of best Search as a Service vendors.
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