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's scalable. It can be scaled massively."
"I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"The product is scalable with good performance."
"The most valuable features are the detection and correlation features."
"Search is really powerful."
"Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"The documentation regarding customization could be better."
"There is an index issue in which the data starts to crash as it increases."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Elastic Enterprise Search's tech support is good but it could be improved."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"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."
Algolia is ranked 7th in Search as a Service with 2 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Algolia is rated 8.6, while Elastic Search is rated 8.2. The top reviewer of Algolia writes "Documentation is the best part and worth the money if the search is the core feature of your product". 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.