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."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"The tool's stability and performance are good."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"The most valuable features are its user-friendly interface and seamless navigation."
"The solution has great scalability."
"The solution offers good stability."
"The most valuable feature of the solution is its utility and usefulness."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"I think they could improve the analytics view."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"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."
"We have an issue with the volume of data that we can handle."
"They could improve some of the platform's infrastructure management capabilities."
"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."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
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.
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.