"Before Elasticsearch enabled The Guardian to develop Ophan, we used a traditional analytics package which had a fourhour lag, Trying to get data out of it was horrendous. It was painfully slow. So the ability to see the results of what we did, to have any clue at all, just …

"Following our smooth migration to Elastic Site Search, our new website gained additional search functionalities, looked really attractive and, as a consequence, our traffic has increased dramatically. We’re now confident that when we offer new content choices and features, visitors will find it as we continue to scale with Elastic …

"Nothing can destroy usability faster than slow performance. When our customers public-facing websites rely on Elastic search, we rely on Elastic search to respond within milliseconds."

"We chose Elasticsearch because of its performance, as well as features that enable us to productionize vector embeddings and explore the potential of generative AI."

"The velocity achieved at Nativo would not be possible without the metrics that Elastic Stack provides."

“The fact that we only have to do fairly light amounts of optimization to be able to do fairly complex faceting is a big advantage. We can query over 360 million documents without having to spend enormous amounts of time optimizing – and Elasticsearch has enabled us to do that …

“Influence Health was starting to make some bold moves, innovating very quickly. They had just moved all of their code from TFS to GitHub. They started using Node.js to supplement their C# infrastructure. I could see that things were changing. It was the type of place I wanted to be.”

"With Elastic Observability, we have a much better understanding of systems behavior and accelerated detection of issues. Resolution is also faster and more effective, which helps increase overall operating efficiencies."

"With Elastic, we got a centralized solution for application tracing and performance analysis that worked perfectly with our vision. With their deployment agent, it integrated easily with our Kubernetes environment, which was crucial for managing NexSIS 18-112."

"Our primary focus is to champion responsible AI and deliver these solutions effectively to our clients. We ensure they not only understand the technology but also possess the proper framework to implement it successfully."

"Instead of us having to do the heavy lifting of rolling up that data, we are using Elasticsearch."

"If a consumer wants something, he or she is going to go to that search bar and ask for it. And they're going to expect to get the results they asked for."

"We would raise questions around whether we should create a cluster per data center, whether we could create cross-data center clusters, checking what features were or were not backward-compatible before upgrading if memory utilization was increasing or we saw some issues that we monitored in our logs, we would work …

“We’re responsible for keeping everything running, while also building for the future."

"Our developers loved the simplicity of the Elastic Stack and the fact that it just worked."