342 Elastic Testimonials

"Wherever an organization stores its data, we make it accessible to their stakeholders including developers, data analysts, and business users."

"Many of our external and internal facing search workloads are built on top of Elasticsearch. The resilience and scalability of Elasticsearch will ensure their strong foundation for years to come with a manageable TOC. The native AI capabilities released recently by Elastic are also impressive. It provides opportunities for us to further streamline our integration and AIOps."

"Before we adopted Elastic Site Search, we never would have considered having localized content or versions of the Asian Food Network website. With our previous solution, there were too many technical challenges. Elastic Site Search has ended those technical challenges, and the only challenge now is localizing content."

“There were pockets where logging was managed extremely well, but there was no consistent approach, making it impossible to unlock the value in our data.”

“Elastic is more like a partner than a vendor. We can bounce ideas around with them, and they always listen carefully to our objectives before they offer any guidance. It gives us confidence that we can help the Met Office to deliver ever more innovative and reliable services into the future.”

“Without this information in Elasticsearch, in our catalog. It’s not possible. The user has to [make] assumptions.”

"We've been able to create our own instant search for our users. Kiln searches as fast as our users can type or as fast as they can think. That's made search a hallmark of the Kiln experience."

"In a fast paced business, you need real time data to understand your business and make informed decisions. My morning routine involves reviewing my Kibana dashboards, and every day meetings involve ad-hoc queries to get the insights we need. With the Elasticsearch Service we also get the stability and performance we need in a service that is maintenance-free. I wish all cloud services were as cost effective and seamless."

"We had thousands of logs coming in every second and needed a centralised and scalable solution that would allow us to search across these very quickly. With the Elastic Stack we had all those pain points answered."

“It is very difficult to scale a business when you’re restricted by on-premise systems. The freedom and flexibility that came with moving to the cloud, and ultimately becoming cloud-native, really launched our developer-led culture and allowed us to scale up very quickly.”

"Responding to public health emergencies is all about time. And every minute, every second, every day that goes by where you don’t have visibility on the response is time you lose and it’s lives lost. So, the call center application, the data team, all the people in the responding agencies are really hooked into this application and used this data to drive decision making and drive Ebola out of these three countries."

“[The Elastic Stack] was the seed to plant. But it isn’t going to be something that grows into (just) a walled (off) garden. It will work with all the other stuff.”

"The Elastic Stack immediately gave the sales reps the ability they needed to analyse data and as the proof of concept came to an end there was a real push from the business to put it into production. We chose to subscribe to Elastic at that point, as we needed their support to meet the aggressive timeline we had to bring the solution into production."

"We are now able to cross-compare data, like log data or metric data with application trace data. This was previously impossible when the data was isolated in different platforms. Before Elastic, our developers were required to check each data system individually. With Elastic, we have everything collected in a single place. They can go there, and they can see how any changes are affecting performance. They can also correlate any changes with the machine learning that’s provided in the platform. It's transforming our organization and making the lives of our developers so much easier.”

"Our strategic objective is to ingest and normalize logs from all our environments and get a complete picture of the risks facing the enterprise. This includes logs from endpoints, applications, and all security controls."