"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 …

"We were really struck by the comprehensive data collection and transformation features that Elastic Security offers. The API integrations were also a massive improvement from our previous solution and were a big factor in our decision to go with Elastic."

"Mailgun already had a system in place before I joined the company, making email logs available, but it was a custom-made solution that was very hard to search through, We needed to replace it. That is why we turned to Elasticsearch."

“We felt we had enough operational experience with Elasticsearch in-house [that] we felt we could do it.”

"I think many people would be interested to find out how much data we can write per month and how fast we are with PHP, because I think most people only know PHP and MySQL. If more companies knew what they could do with PHP and Elasticsearch, I think a …

“In terms of the overall effort, leverage your Elastic team. They are extremely helpful. We've had a very close partnership and very frequent calls, a completely open line of communication around all the updates, you will get stuck, use them for that. That's really what they're good at.”

“We have never missed an incident yet. We chose Elastic because of its resilience.”

“These systems started to fail. Our telemetry systems started requiring more time to manage than the infrastructure it was intended to monitor.”

"Thanks to Elasticsearch, we are able to search for categories very quickly and directly map offers to products."

"We are in the comparing business and with Elasticsearch we have a lot less hassle and lot more flexibility compared to what we had previously."

"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."

“We snapshot onto the Gluster, we take the data off the Gluster, put it in HPSS. If we need to restore, we pull from HPSS back onto the Gluster, then take that and restore it back in using Elastic[search].”

“The whole idea of the data collect was to make sure that we had one location that had everything. One location, one access method, so that you weren’t doing a SQL query from here, a flat file look-up from here, and something else from there, and trying to get it …

"All the end users are unanimous about the performance and the functional maturity of ADNS since its implementation. Its availability is close to 100%, and major changes can be made within the application without any downtime. While the agile development strategy involving a panel of customers was critical to our …

"When we looked at the market, similar solutions were quadrupled in cost and complicated to use. Elastic is much more cost effective and much easier to scale and manage. We can upgrade the stack at the press of a button and it’s simpler to get engineers up to speed compared …