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 forced merge and forced resonate features reduce the data size increasing reliability."
"The most valuable feature is the out of the box Kibana."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The solution is valuable for log analytics."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"The AI-based attribute tagging is a valuable feature."
"The search speed is most valuable and important."
"I think they could improve the analytics view."
"I would like to be able to do correlations between multiple indexes."
"I would rate the stability a seven out of ten. We faced a few issues."
"We'd like more user-friendly integrations."
"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 pricing of this product needs to be more clear because I cannot understand it when I review the website."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"The solution must provide AI integrations."
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.