342 Elastic Testimonials

"At the time, we were one of a few companies in our space that used LLMs and AI summarization features on top of a search engine."

"The Elasticsearch team has been phenomenal in helping us. They are always available. And it is not just a random support person who is available. The experts are available. We have been extremely happy with the service we have been getting from Elasticsearch."

"You cannot understand a process if you do not visualize it. I realized that we needed to marry all the systems together, pull the main parameters from the process systems, databases, and other sources, and see them together in one place."

"With insights from Elastic Observability, we can undertake small, targeted deployments of our software and send feedback directly to our engineers so that they can iterate faster and make the changes needed for the software to work in production."

"We chose Elastic Enterprise Search running on Elastic Cloud because it is so easy to scale and add nodes when needed. Now, rather than spending time on day-to-day infrastructure management, our technical team can focus on pushing the boundaries of our AI technology and other proprietary services."

"Elastic gives us the power to analyze social media accounts in enormous detail. If we are looking for a fitness influencer who meets certain criteria to align with a brand campaign, we can find accounts that post images from the gym, determine their age and expertise, and examine their posting captions including the use of emojis."

"When we looked at other technologies, none of them had all the elements that we needed. From scalability to search, Elastic was the obvious choice."

"We see great promise for the application of Elastic machine learning across the estate, in a range of use cases. In fact, it is already helping us greatly with service management logging — identifying novel problems inside content delivery and streaming services that might otherwise be hidden. These hidden problems can damage our image so, being able to identify these tiny issues with in real time with Elasticsearch means we are far more responsive, the content delivery services perform well and our reputation for quality is maintained."

"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."

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

"In the previous system, it could take a minute or two for query results to come back. We are getting sub second response times with Elasticsearch."

"We have worked with several investment banks that share a common problem of having to support legacy applications on disparate but related data."

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

"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 orders that require us to search back through up to two years' worth of data."

"Responding to public health emergencies is all about time. And every minute, every second, every day that goes by where you don’t have visibility on the response is time you lose and it’s lives lost. So, the call center application, the data team, all the people in the responding agencies are really hooked into this application and used this data to drive decision making and drive Ebola out of these three countries."