"Thanks to Elasticsearch, we are able to search for categories very quickly and directly map offers to products."
"We went from being stuck to being thrilled. With our new Elastic platform, we no longer have to grit our teeth and hope it works. With Elastic, we know it’s going to work and keep working."
"As we were building out with the Elastic Stack, we found that we were able to detect fraud a lot easier. And as we were adding more and more datasets to the Elastic platform, we got a view of our data that we really were never able to look at before. Because of our use of Elastic, we created a new branch to combat fraud — the Fraud Intelligence section. Now we're not only able to detect fraud that was occurring, but also detect it before it happens."
"Elasticsearch is a lifesaver, It gives users the ability to search all the content on Parleys. They can find whatever they are looking for."
"Elastic is my Swiss army knife. It’s a full stack that supports log aggregation, data analytics, and machine learning. Searchable snapshots are also hugely impressive. The ability to retrieve data from frozen tiers has streamlined our information lifecycle management while reducing the cost of storage hardware."
"With Found’s hosted Elasticsearch service, HotelTonight is able to personalize and scale out a real-time search experience without expensive operations infrastructure."
"A standard architecture based on the Elastic Stack has been implemented for optimized processing of vast volumes of data in real time. This system has greatly improved the responsiveness of the teams by allowing for cross-functional analysis of activities and detection of incidents as early as possible to anticipate and better prevent service interruptions or deterioration."
"The Elastic Stack is very well integrated with our IS. The Stack has allowed us to reclaim log files and obtain real-time visibility on our security platforms, as well as carry out our Threat Hunting activities within the SOC."
"Thanks to Alerting, we have made gains in terms of responsiveness, especially with regard to atypical response times and HTTP error codes from log files. Depending on the problem identified, the tool automatically sends details of the malfunction to the teams in charge. It also makes it possible to measure performance during scaling through a comprehensive diagnostic provided to the relevant services to improve link chains."
"After operating for more than a year in a “cluster on demand” mode, we plan to deploy ECE into production during the first quarter of 2019 to offer a complete and identical service for all within the Group and to centralize the management of future app developments on this common management platform, while gradually migrating existing deployments."
“By combining a strong ingestion capability with machine learning analytics, we knew we could deliver new experiences to our users and help teams to collectively improve their analytics capability and quality of service. Elastic Observability provided a powerful and scalable solution to monitor all our data and get value quickly."
"Using Elasticsearch queries, we can quickly see every action the user has done - this is a great way to see whether an account has been stolen, hijacked, or whether the user has done something naughty."
“It didn’t work very well for our use case. Once we moved everything to Elasticsearch and used its histogram facet queries, everything worked really well.”
"Beyond enhancing search results, we use Elasticsearch to ensure data quality."
"We used Elasticsearch support during development to help us validate our ideas as well as understand how we could do things even better. That was key to us scaling quickly."