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 solution's initial setup is straightforward."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The customer engagement was good."
"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."
"The search functionality time has been reduced to a few milliseconds."
"It provides good access capabilities to various platforms."
"Creates indexers to get data from different data sources."
"A nonstructured database that can manage large amounts of nonstructured data."
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The solution offers good stability."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"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."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The solution's stability could be better."
"The after-hour services are slow."
"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."
"It would be good if the site found a better way to filter things based on subscription."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The initial setup is not as easy as it should be."
"The pricing is room for improvement."
"Ratio aggregation is not supported in this solution."
"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."
"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."
"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."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"The one area that can use improvement is the automapping of fields."
"Improving machine learning capabilities would be beneficial."
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.