"We believed that Elastic was well-suited for our needs, especially when it came to feeding data into a centralized repository and then visualizing the information. Elastic's performance, responsiveness, and user interface, as well as its ability to handle large volumes of data were critical to our decision, given recent executive …

“With Elastic, we’re helping our internal users observe services and therefore operate them through providing tools for logging, for metrics, and for alerting.”

"One of our new developers was able to get up and running with Elasticsearch in a couple of hours and fix a bug."

“With ESRE and Azure OpenAI-powered search experiences, we aim to reduce what may take our customers months during an investigation to hours.”

"I think it was a good decision to make the change, since I became hopeful that we could make enhancements for users after trying Elasticsearch."

"Users are most satisfied with the speed of the system, which allows documents to be searchable almost immediately after they have been indexed."

"The technology behind Citadel Group’s go-to-market strategy, and our drive to expand globally, significantly leverages Elastic’s observability and security solutions. Elastic Security is crucial for the SecOps team to function properly and fulfill its role of protecting Citadel and its customers from cyber threats. Elastic Observability capabilities are crucial for …

"Citadel has confidence in Elastic to be a critical component of the technology stack for the solutions and services we are providing our customers to observe and protect their environments."

"Before Elasticsearch, we used Solr, we had a lot of trouble scaling Solr, configuring it and making it work. We would outgrow one Solr instance very quickly. It was hard for us to manage that growth with Solr."

"To simplify performance monitoring, which was becoming ever more complex due to the increasing number of information systems and applications, we centralized our servers' logs in a data lake, from which we were then able to derive specific indicators. This system quickly proved hugely valuable for the technical team, and …

"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 …

"Elastic is at the heart of our architecture, acting as a holding zone for data that we need to interface or transmit between different automation systems. It’s the glue that holds all of them together."

"Elastic's machine learning and other advanced capabilities have made these once complex concepts practical for regular users."

"There are so many logs that we have to collect, from the overall infrastructure, to how users are clicking within the platform, or how requests are made to different APIs."