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 customer engagement was good."
"It provides good access capabilities to various platforms."
"The solution's initial setup is straightforward."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"The amount of flexibility and agility is really assuring."
"The product is pretty resilient."
"The search functionality time has been reduced to a few milliseconds."
"Creates indexers to get data from different data sources."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The initial setup is very easy for small environments."
"Data indexing of historical data is the most beneficial feature of the product."
"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."
"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."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"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 of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"The initial setup is not as easy as it should be."
"It would be good if the site found a better way to filter things based on subscription."
"The after-hour services are slow."
"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."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The pricing is room for improvement."
"Technical support should be faster."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"The metadata gets stored along with indexes and isn't queryable."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"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."
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.