"I wanted to stay on the 'real' version of Elastic for several reasons, including compatibility, management tools, documentation, access to community support, and planned new features."

"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."

"Having a hypothesis is good if you’re solving for something in the future. But if you’re trying to proactively stop an incident from happening, a hypothesis is wasted time not solving the problem. You need data now."

“We have never missed an incident yet. We chose Elastic because of its resilience.”

"We went from being stuck to being thrilled. With our new Elastic platform, we no longer have to grit our teeth and hope it works. With Elastic, we know it’s going to work and keep working."

"The amount of foresight built into Elastic is unparalleled. Whatever we dream up is possible. It gives us an opportunity to get smarter and more creative with what we’re building."

"As a job site, we enable job seekers to find the right career opportunities. Elasticsearch puts the search in our job search. It powers TheLadders user experience."

"We wanted to be more proactive in our efforts to detect issues and ensure they were fixed before they impacted end users."

"Thanks to Elasticsearch, we managed to reduce that time from an average of 2 seconds to 100 milliseconds."

“These are the guys that built Elasticsearch. This is their bread and butter. This is what they do. They offer all this support plus machine learning and security — all these things that we didn’t want to have to deal with developing and Amazon doesn’t offer.”

“Every time we had an issue or anything, it was promptly resolved. It’s great — working with Elastic feels like a business partnership, not just a pure provider/client relationship.”

“The first step to making better use of data for energy companies is to standardize and centralize their data. There is a big emphasis on data analytics to assess performance and provide real-time access to that analysis. Predictive analytics is also gaining importance. There is a clear advantage in being …

"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."

“We snapshot onto the Gluster, we take the data off the Gluster, put it in HPSS. If we need to restore, we pull from HPSS back onto the Gluster, then take that and restore it back in using Elastic[search].”

“The whole idea of the data collect was to make sure that we had one location that had everything. One location, one access method, so that you weren’t doing a SQL query from here, a flat file look-up from here, and something else from there, and trying to get it …