342 Elastic Testimonials

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  • "We were quite happy with Elastic Cloud, but ECE gave us all of those same features in a way that also allowed us to have full management control over the entire server and underlying software. That was what made us pick ECE."

  • "Before we adopted Elastic Site Search, we never would have considered having localized content or versions of the Asian Food Network website. With our previous solution, there were too many technical challenges. Elastic Site Search has ended those technical challenges, and the only challenge now is localizing content."

  • "The Elastic Stack’s unified platform to search, analyze, visualize and secure our data has helped us identify new opportunities to manage and reduce risk and to lower costs. These added benefits that Elastic brings to the Ministry of the Armed Forces are advantages that our legacy infrastructure could not offer."

  • “As we get more and more customers, it's going to get really hard to manage because you always have to grow your own team of engineers at the same rate as you get customers because you get so many more clusters — there's so much manual configuration. And that’s not going to work in the long run."

  • "At Zurich Insurance, we want to exceed customer expectations and support their increasingly digital lifestyles. That is why we moved to Elastic Cloud on Kubernetes. With Elastic, we can stay focused on customer needs, drive innovation, and simplify our IT environment."

  • "By consolidating customer data and making it easily searchable through Elasticsearch, Zurich Insurance claims agents get accurate information in real time and respond to customer inquiries faster. That saves anywhere from a few seconds to a few minutes on each call — which can really add up and make a significant difference in customer satisfaction."

  • "Moving to Elastic Cloud on Kubernetes running on Microsoft Azure enables us to seek new use cases for the business, including application performance monitoring (APM), security information and event management (SIEM), and machine learning for anomaly detection."

  • "Search plays a critical role in our efforts to boost listener growth and retention. It points subscribers not just to their favorite episodes, but to new content based on search intent and preferences."

  • "While our previous workflows delivered a satisfactory outcome, we needed a faster, more unified observability solution that aggregated data at a central location and could also be accessed by security teams across the business."

  • "Moving to the cloud is a complex undertaking but the Elastic Consulting team took time to understand our goals and worked closely with Booking.com engineers to complete the migration to the satisfaction of our stakeholders."

  • "Looking back at the amount of time we spent maintaining, debugging, and fixing problems with our previous solution, the value we’re now getting from Elastic is saving us in both time and cost."

  • "The key is that from ingest onward, everything is multi-tenanted, so each client has their own segregated data. Even when the information is sent to Elasticsearch, we use Datastreams to keep the data physically separate, with each item tagged to a firm ID. Elasticsearch aliases allow us to slice and dice any search whilst security is maintained in our middleware and API gateway to the front end. Elastic is our central search engine that allows all this to happen."

  • "In just one hour we may need to handle half a million search-related requests to our systems, but Elastic Enterprise Search easily scales to handle this workload."

  • "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 it was quite obvious that it would make sense to further extend it to meet the needs of the sub-departments as well and to get even more value out of it. And that's how the Big Data team was born, two and a half years ago."

  • "We encourage people to disconnect from screens by using AI agents that direct them to social events, local clubs, and communities."