"The Elastic Stack immediately gave the sales reps the ability they needed to analyse data and as the proof of concept came to an end there was a real push from the business to put it into production. We chose to subscribe to Elastic at that point, as we needed …

"As a cloud-based business, availability and visibility of systems data is critical for rapid incident detection and resolution. Without data, the source of an anomaly can be lost before there is a chance to investigate it."

"Elasticsearch is a means of delivering on the promise of providing better, more professional tools to scientists. We are building this environment where people can store, manage, and share all of this content, but in order for them to want to use OSF, it must be a desirable environment to …

"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 …

"According to the customer survey that we conduct every quarter, search is the most important feature on our platform."

"We had problems with real-time indexing Users would post changes to their profile, and it would take in the worst case up to 50 minutes before anyone could search for the new content. We needed to find something that was faster and offered better search results. That was the reason …

"The key to attracting millions of loyal followers is providing the best possible customer experience. Intelligent search is an essential component to creating that experience."

“With so many ways of expressing words in patient records, there was a risk that we couldn’t keep track of basic information such as how many people were infected with the virus, how sick they were and what treatments they were on.”

“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.”

"Elasticsearch has been evolutionary for our business. We’ve saved hundreds of hours of development time. Lexer can easily mine massive volumes of data in real-time, and using Elasticsearch’s aggregations has helped us to build a platform that provides critical predictive insights."

"Our goal is to get medicines to patients rapidly and safely. Faster and more accurate data searches that Elastic enables, help us reduce the overall time that it takes to bring new products to market."

"Elastic's machine learning and other advanced capabilities have made these once complex concepts practical for regular users."

"Before Elasticsearch, we used Solr, we had a lot of trouble scaling Solr, configuring it and making it work. We would outgrow one Solr instance very quickly. It was hard for us to manage that growth with Solr."