We performed a comparison between Azure Search and Elastic Search based on real PeerSpot user reviews.
Find out in this report how the two Search as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It provides good access capabilities to various platforms."
"The solution's initial setup is straightforward."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The amount of flexibility and agility is really assuring."
"The product is pretty resilient."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"Azure Search is well-documented, making it easy to understand and implement."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The initial installation and setup were straightforward."
"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 search speed is most valuable and important."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"The most valuable feature is the out of the box Kibana."
"Dashboard is very customizable."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The pricing is room for improvement."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"It would be good if the site found a better way to filter things based on subscription."
"The solution's stability could be better."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The after-hour services are slow."
"The initial setup is not as easy as it should be."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"The reports could improve."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"They could improve some of the platform's infrastructure management capabilities."
"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."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"Machine learning on search needs improvement."
"Could have more open source tools and testing."
Azure Search is ranked 6th in Search as a Service with 8 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Azure Search is rated 7.4, while Elastic Search is rated 8.2. The top reviewer of Azure Search writes "Good performance for standard faceted search and full-text search". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Azure Search is most compared with Amazon Kendra, Amazon Athena, Amazon AWS CloudSearch, Solr and Algolia, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Amazon Kendra and Qdrant. See our Azure Search vs. Elastic Search report.
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.
