"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."

"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."

"Some technologies do not translate well in the world of virtualized machines and network drives. But setting up Elasticsearch on Azure was a breeze, performance is excellent and the system very stable."

"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 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.”

"In the start-up world, survival and success depends on your ability to adapt rapidly, while focusing resources on innovation. We needed to find a blend of business platforms and technologies that were affordable, flexible, and highly scalable - and that's where Elastic just fits."

"AI and semantic search features in Elastic and Google go far beyond simple keyword searches and enable Apna to better understand the intent of both candidates and employers."

“When we started using Elasticsearch, we recognized its promise. We could see that this would be part of our future. Our engineers were able to get the full stack up and running in just thirty minutes. It was simple. It was well thought out.”

“We were trying to fit a square peg in a round hole. We’d been using the relational system for data that is not relational.”

“When I first tried Elasticsearch, I was blown away. I ran a search on a billion rows in just one second, whereas other products took 30 minutes. I honestly don’t know how we managed without it.”

"I thought, there's no way a small team can handle this."

"Thanks to Elasticsearch, we managed to reduce that time from an average of 2 seconds to 100 milliseconds."

"Compared to the multi-million dollar investment of other systems, which can take months to implement and years to return value, the Elastic Stack delivered a stable implementation, with very little upfront risk and at a fraction of the cost, from day one, minute one."

"What Google did for the Internet, the Elastic Stack does for Sprint's machine data."