"We get insights into the Elastic roadmap which helps us anticipate the deployment of new features. Elastic also listens to our plans and adapts where possible to support our needs."

“We started pulling in all kinds of logs: web server logs, application logs, system logs, load balancer logs. What we soon realized was all the analytics that we could get with this. No longer did we look at servers individually, but we looked at the system.”

"We desperately wanted to get rid of as much legacy code as possible. We needed better performance, and a search engine that was easier to manage. We needed Elasticsearch."

"With Elastic’s Kibana Lens, our customers can get from data to insights in just a few clicks with no prior experience using Kibana. They can also use the Discover tool to quickly find one specific record out of a billion. In my opinion, there’s nothing else on the market like …

"Search is the core of our websites, if there's an outage we basically stop working. That’s why we chose Elastic."

"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."

"Tools like the Elastic Stack are making the difference for the company and for the consumers. We don't need to roll out a secret plan to gain an edge over the competition. Being able to see problems in the system and take care of them in seconds instead of hours …

"I've been interested in using the tool called Curator. And I just spent 20 minutes with the guy who developed it, Aaron. He's been super helpful."

"Elastic Cloud has enabled us to move to a streamlined operational expenditure model. The cost is very reasonable and predictable based on our data use. I'm responsible for a large portion of the IT budget so this makes my life a lot easier."

"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 …

“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 …

"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 …

"User experience is the most important thing for us, and Elasticsearch has helped improve it greatly. Our users had wishes that we could not actually achieve before, because the search engine was outdated, but we are now able to fulfill those requests with Elasticsearch."