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."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"Creates indexers to get data from different data sources."
"The product is pretty resilient."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The customer engagement was good."
"The search functionality time has been reduced to a few milliseconds."
"The amount of flexibility and agility is really assuring."
"A nonstructured database that can manage large amounts of nonstructured data."
"Implementing the main requirements regarding my support portal."
"The product is scalable with good performance."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"It is easy to scale with the cluster node model."
"The UI is very nice, and performance wise it's quite good too."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"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."
"It would be good if the site found a better way to filter things based on subscription."
"The initial setup is not as easy as it should be."
"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."
"The after-hour services are slow."
"The solution's stability could be better."
"The pricing is room for improvement."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"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."
"Technical support should be faster."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"I would like to be able to do correlations between multiple indexes."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"There is an index issue in which the data starts to crash as it increases."
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 OpenText IDOL. 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.