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."The product is pretty resilient."
"Creates indexers to get data from different data sources."
"The amount of flexibility and agility is really assuring."
"Azure Search is well-documented, making it easy to understand and implement."
"The search functionality time has been reduced to a few milliseconds."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The solution's initial setup is straightforward."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The solution has great scalability."
"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 the solution is its utility and usefulness."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"Implementing the main requirements regarding my support portal."
"The product is scalable with good performance."
"The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"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 SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The initial setup is not as easy as it should be."
"The after-hour services are slow."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"Could have more open source tools and testing."
"Better dashboards or a better configuration system would be very good."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"The different applications need to be individually deployed."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
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, Algolia and Solr, 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.