342 Elastic Testimonials

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

  • "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 develop our search APIs very quickly and easily with Elasticsearch."

  • "The Elastic Stack is very well integrated with our IS. The Stack has allowed us to reclaim log files and obtain real-time visibility on our security platforms, as well as carry out our Threat Hunting activities within the SOC."

  • "Thanks to Alerting, we have made gains in terms of responsiveness, especially with regard to atypical response times and HTTP error codes from log files. Depending on the problem identified, the tool automatically sends details of the malfunction to the teams in charge. It also makes it possible to measure …

  • "After operating for more than a year in a “cluster on demand” mode, we plan to deploy ECE into production during the first quarter of 2019 to offer a complete and identical service for all within the Group and to centralize the management of future app developments on this common …

  • “By combining a strong ingestion capability with machine learning analytics, we knew we could deliver new experiences to our users and help teams to collectively improve their analytics capability and quality of service. Elastic Observability provided a powerful and scalable solution to monitor all our data and get value quickly."

  • "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."

  • "Prior to Elasticsearch, we were using Sphinx for search. We started to hit a wall in a few ways. First, we could not keep Sphinx live with the data, which is a big deal when a teacher creates a set that students need to find immediately."

  • “Cisco teams used different technologies for enterprise search. The experience was fragmented and information findability was a real problem. There was no one way to find info across the enterprise. Relevancy was bad, and federated search never worked.”

  • “To put it simply, we didn’t have a single tool or platform to manage customers’ assets and their entitlements. Without full visibility into what the customer owns and what they are using, organizations could face significant legal, financial, and operational issues.”

  • "Elastic is a feature-rich environment for creating a variety of search solutions. The ability to combine semantic search aspects into solutions is key for search evolution and Elastic is well-positioned for it."

  • "Many of our external and internal facing search workloads are built on top of Elasticsearch. The resilience and scalability of Elasticsearch will ensure their strong foundation for years to come with a manageable TOC. The native AI capabilities released recently by Elastic are also impressive. It provides opportunities for us …

  • “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."