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."Creates indexers to get data from different data sources."
"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 product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The product is pretty resilient."
"The solution's initial setup is straightforward."
"The customer engagement was good."
"It provides good access capabilities to various platforms."
"The solution is stable and reliable."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"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."
"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 solution is valuable for log analytics."
"The initial installation and setup were straightforward."
"The initial setup is very easy for small environments."
"X-Pack provides good features, like authorization and alerts."
"It would be good if the site found a better way to filter things based on subscription."
"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."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The initial setup is not as easy as it should be."
"The pricing is room for improvement."
"The solution's stability could be better."
"The after-hour services are slow."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"I would rate the stability a seven out of ten. We faced a few issues."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"They could improve some of the platform's infrastructure management capabilities."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"We'd like more user-friendly integrations."
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.
