Commercetools - Customer Case Study

"From a development point of view, Elasticsearch enables us to add features very quickly for our customers," Eichler concludes. "We can add new features every few days or as often as more than one per day. Delivering these new features is crucial to show the customers that we are agile to adapt to their needs."

Wajam - Customer Case Study

As Wajam's data scaled from 200 million to 10 billion documents in less than two years, they've needed to make the right decisions quickly about how best to scale their Elasticsearch deployment. So they tapped Elasticsearch Development Support to help them plan and execute the right architectural decisions.

Yatego - Customer Case Study

Yatego specializes in hosting small- to medium-sized merchants, and many of them provide data to Yatego manually, so the data quality can vary widely depending on the merchant. While some merchants provide very good quality data, others input data that is not always accurate. For example, delivery times can be incorrect, or there may be typo errors in the product descriptions. Elasticsearch Facets enable Yatego to easily search the data, check the consistency, and identify and correct any typos or other mistakes in the merchant data.

Elastic stack for Root Cause Analysis at Teradata

Zendesk - Customer Case Study

DigitalOcean - Customer Case Study

Green Man Gaming - Customer Case Study

Initially, they tried utilizing CouchDB, but found its query ability limited to building MapReduce views, which didn't provide the flexibility needed to run their ad-hoc queries. It also lacked the ability to display results in a visual format that everyone in the company could understand and utilize.

Thomson Reuters -

Elasticsearch Stands Up To Comparison At Compare Group

Microsoft - Customer Case Study

SoundCloud - Customer Case Study

Gild - Customer Case Study

"Beyond enhancing search results, we use Elasticsearch to ensure data quality," Laurita concludes. "We need to gather data fast, and that data has to be checked against 8 million profiles. Elasticsearch enables us to accomplish this quickly and accurately."

Xoom - Customer Case Study

Risk processing is mission-critical to Xoom's viability, and Elasticsearch delivers the necessary performance, scalability, and flexibility the company needs to maintain its industry leadership position.

OpenCrowd - Customer Case Study

"Elasticsearch has a much lower cost of ownership because a developer can easily set up a cluster. It is very simple to get Elasticsearch up and running. So the cost of putting Elasticsearch into your environment is relatively low. In addition, we've built a REST-based service on top of Elasticsearch to account for specific client customization requirements around data integrity, security, data masking and scalability."

IBM - Customer Case Study

Verizon - Customer Case Study

Verizon - Customer Case Study

USAA - Customer Case Study

USAA - Customer Case Study

Tango - Customer Case Study

FICO - Customer Case Study

Fog Creek Software - Customer Case Study

Fog Creek Software’s mission is "to help the world’s best developers create better software.” The company’s Kiln product was built from the ground up to support and simplify development workflow, helping more than 50,000 developers manage their development process.

Deezer - Customer Case Study

The music catalog is updated all the time as Deezer continuously receives new material from record companies. Rapid updating of the data is also a mission-critical capability at Deezer, to keep the music catalog up to date at all times. "Our catalog evolves all the time, so we need to be able to update in real time, and Elasticsearch delivers perfectly for our needs," Sinton confirms.

How Elasticsearch Helped Orange to Build Out Their Website Search

Parleys - Customer Case Study

The technical dashboard displays logs from every component in the infrastructure, used to diagnose performance issues. Parleys has a large development team, and in the past they did not have adequate visibility into system health. The company has separate client-side and server-side development teams. If a developer from the client-side had to investigate a performance issue on the server-side, they had great difficulty accessing the necessary data. For example, they would need to become an admin on the server in order to access the logs, which would often result in security glitches.

U.S. Geological Survey - Customer Case Study

SEEK - Customer Case Study

Browser London - Customer Case Study

"For product data – be it on a large e-commerce website like Amazon or an asset management tool like Allsort – the complexity of the data can grow quite easily," adds James Blizzard, Developer, Browser London. "You're no longer just searching for part of a product name. You need to filter in far more detail – colors, brands, sizes, office locations, the list goes on. A key aspect to any asset management tool is the ease at which any given user can find the items they need. Using tools like Elasticsearch allows Browser London to build products that make finding information easy. This saves the end user time and results in a more positive user experience."

Goldman Sachs - Customer Case Study

FireEye - Customer Case Study

Logmatic.io - Customer Case Study

With Elasticsearch, Logmatic.io can scale from tens to hundreds of customers while delivering better performance and reducing costs by 75 percent.With Elasticsearch, Logmatic.io can scale from tens to hundreds of customers while delivering better performance and reducing costs by 75 percent.

Salesforce - Customer Case Study

MercadoLibre - Customer Case Study

All MercadoLibre front ends call APIs on the backend. The APIs are available to anyone who wants to build an application based on MercadoLibre. These APIs are can be used for many different purposes, both internal and external. Because Elasticsearch worked so well, MercadoLibre began to use it in other ways via APIs. First, they implemented an API over Elasticsearch to help users to search through questions asked by buyers and answers provided by sellers – the key method of communication between buyers and sellers prior to a sale. Then, they created a second API that helps users to search orders.

Powering ITV’s DevOps Engine with the Elastic stack

Facebook - Customer Case Study

University of Washington - Customer Case Study

AutoScout24 - Customer Case Study

Q42 - Customer Case Study

"Search was very important on this project because the Rijksmuseum has a large collection of art with complex information about each piece," explains Jasper Kaizer, Technical Project Lead and Account Manager at Q42. "The website needed a powerful yet user-friendly tool to navigate the collection."

Mailgun - Customer Case Study

"Searchable logs enable our customers to always know what is happening to their email," says Meijer. "Before Elasticsearch, we would have to go to each individual component of the system to get the log files. It was really a pain. Now it is very easy to see everything in Elasticsearch. The tool chain of Elasticsearch, Logstash and Kibana is ideal for application logging.

Ebay - Customer Case Study

The New York Times - Customer Case Study

GitHub - Customer Case Study

Globo - Customer Case Study

"The ability of Elasticsearch to provide fuzzy queries translates directly into increased conversion rates," Luiz adds. "This increased our conversion rate about 8% – and that is a lot for us. When equating with advertising dollars that is a lot of money."

Mayo Clinic - Customer Case Study

Eventbrite - Customer Case Study

Engagor - Customer Case Study

When a social media message is posted, it is available to Engagor customers in seconds via Elasticsearch, enabling major brands to respond to comments or complaints in real-time and resolve issues quickly.

Lexer Builds Next Gen Social Listening Platform With Elasticsearch

Quizlet - Customer Case Study

"In addition, users need to be able to easily create high-quality content," he continues. "Elasticsearch is becoming integral to this aspect of Quizlet by enabling some exciting new features for creating content. I think this will be a key driver for our growth, and a key driver for educating kids in the US."

TheLadders - Customer Case Study

Prior to Elasticsearch, the company’s search function was based on Solr. After a decade in business, TheLadders needed to re-architect its website from the ground up to take advantage of the latest technology. At that time, TheLadders decided to switch all search functionality to Elasticsearch due to its ease-of-use, flexibility, visibility, reliability, and faster time to recovery.

Cisco - Customer Case Study

Mutualmind - Customer Case Study

MutualMind offers "Social Listening as a Service," enabling customers to monitor their brands on social networks, and gain actionable analytics and insights. MutualMind customers – including some of the best-known brands in the world such as AT&T, Kraft, Nestlé and Starbucks – use the MutualMind platform to support programs including product development, market research and consumer care.

CERN - Customer Case Study

The Guardian - Customer Case Study

Processing 40 million documents per day in Elasticsearch “Before Elasticsearch enabled The Guardian to develop Ophan, we used a traditional analytics package which had a four-hour lag,” recalls Graham Tackley, Director of Architecture at The Guardian. “Trying to get data out of it was horrendous. It was painfully slow. So the ability to see the results of what we did, to have any clue at all, just wasn’t there. We were shooting in the dark.”

Wikimedia - Customer Case Study

Groupon - Customer Case Study

McGraw-Hill Education - Customer Case Study

In 2012, McGraw-Hill Education Labs began work on an adaptive learning platform called EdSense. The platform is intended to provide search, discovery, and indexing to the virtually unlimited content available on the Internet, and then offer content recommendations based on the student's preferences and popularity of the content. “Textbooks are being replaced by the web," explains Chris. “We needed to create an online learning environment that adapts itself to the student's needs and preferences using search, index, and ranking of this virtually unlimited data."

Hoteltonight Scales To Millions Of Users With Elasticsearch As A Service

To handle exponential data growth, the need for 24x7 availability, and requirements to serve up real-time results for its round-the-clock user base, HotelTonight’s engineering and platform team was faced with the challenge of architecting their systems for high performance and scale, while focusing on their core competency: building an intelligent mobile travel application. With a MySQL backend, HotelTonight looked to Elasticsearch for handling its search functionality based on Elasticsearch’s Lucene background and its proven, developer-friendly APIs. This was important as every search query must compare millions of documents containing diverse data elements to display real-time results for end users to select their hotel stays. Elastic Cloud is the only hosted Elasticsearch service built, maintained, and supported by the creators of Elasticsearch, following a rigorous testing process which resulted in the service performing at 20-30 millisecond query response times.

Emerson - Customer Case Study

Elastic Support: An Investment That Keeps Paying Off at Symantec

Esri - Customer Case Study

DC Thomson Moves From Solr To Elasticsearch To Personalize And Monetize Their Digital Experience

LiveChat - Customer Case Study

"We strive to deliver the best possible service for our clients," Dojwa says. "Only with Elasticsearch are we able to provide fast enough access to data statistics. The query results are now produced instantly, which makes the whole search function much more fluid and responsive. The ability to provide almost instantaneous access to chat archives is a great contributor to our client's positive user experience."

The Elastic Stack helps Swiss Life France achieve its Vision 360 project, part of its digital foundation architecture

Opower(ing) Energy Efficiency with Elastic

VANDIS - Customer Case Study

Datadog - Customer Case Study

Datadog is a SaaS (Software-as-a-Service) monitoring service for IT, operations and development teams. Datadog enables them to turn the massive amounts of data produced by their applications, tools and services into actionable insights, and ultimately to keep their applications and services up and running. Data is sent to Datadog directly from the customer's infrastructure and through services like GitHub. Datadog aggregates the data, analyzes it, and delivers it back to the customer through an easy-to-use monitoring dashboard accessible via a web browser.

Xing - Customer Case Study

“We had problems with real-time indexing" he continues. “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," says Holger Buerger, Director of Site Operations for XING. “That was the reason we moved to Elasticsearch."

Networked Insights - Customer Case Study

When it comes to social data there are many tools out there that help marketers measure the effectiveness of their campaigns, but there is only one solution – that with the help of Elasticsearch – is changing the way marketers make data-driven decisions. That solution is Networked Insights, a 7-year old Chicago-based company that has been leveraging real-time consumer data to transform the way major brands like Samsung, MillerCoors, Revlon, and Procter & Gamble solve their marketing problems. Networked Insights accomplishes this through collecting consumer data from all across the social web – from forums like Reddit to blogs like Wordpress and blog commenting platforms, to other social media networks like Twitter, Facebook, and Tumblr. Using the millions of data points that come in daily from these data sources Networked Insights is able to segment the data into key target audiences that in turn provide actionable insights for marketers. The result is smarter marketing decisions.

Opendatasoft - Customer Case Study

OpenDataSoft is a French-based provider of tools to publish open data on the web. OpenDataSoft customers like the City of Paris use the OpenDataSoft Software-as-a-Service (SaaS) platform to share data with partners, developers and the general public. OpenDataSoft provides a standard data portal, as well as APIs that enable developers to integrate the data into their applications. A single OpenDataSoft customer can have hundreds of millions of records, so search is a key functionality of the solution, enabling the end-users to find the right data.

Center for Open Science - Customer Case Study

Currently 6,000 scientists utilize OSF, which is part network of research materials, part version control system, and part collaboration software. It is a Web service that integrates with the scientist’s daily workflow, helps document and archive materials and data, facilitates data sharing, and enables transparency. With the OSF, users can create and manage scientific research projects, collaborate with other researchers, and make project data publicly accessible. In just over one year of its operation, users have downloaded 215,000 documents available from the OSF.

Concur - Customer Case Study

Perceivant - Customer Case Study

In working with Perceivant, IEMS exported data from various medical systems into CSV, XML, HL7, and JSON files. These files were then securely imported to Data Dojo, where the data was indexed in Elasticsearch. From there, the data is directly output to an OLAP multi-tenant reporting service where users can run real-time queries and build interactive dashboards, eliminating a lot of the manual data processing and correlation that IEMS used to perform. The NoSQL nature of Elasticsearch and Perceivant's flexible analytics structure allowed the addition of new structured columns on-demand to further analyze the data, eliminating the need to make any coding changes to the medical systems the data was being pulled from. And, thanks to the full-text search and analytics capabilities of Elasticsearch, Data Dojo also let IEMS incorporate unstructured data from doctor's notes, helping create new dashboards that let them respond to unforeseen challenges and extend their use case in ways they couldn't

Yale University - Customer Case Study

Netflix - Customer Case Study

The Home Depot - Customer Case Study

Sound and Vision - Customer Case Study

Sound and Vision provides access to a variety of organizations across the Netherlands, allowing them to interface with the archives. Prior to Elasticsearch, the institute could only provide dumps of the catalog. Now, with Elasticsearch, the institute offers users development flexibility to integrate with the system.

Activision - Customer Case Study

StumbleUpon - Customer Case Study

When StumbleUpon decided to upgrade its search infrastructure it began to look for alternative solutions. After attending an Elasticsearch training course and meeting Elasticsearch creator Shay Banon, StumbleUpon decided to implement Elasticsearch for all keyword search requirements due to its real-time capabilities and ease of use.

Klout - Customer Case Study

“Elasticsearch has a very good integration with Hadoop," says Oliveira. “It allows us to export a Hive table to an index on Elasticsearch very easily. HBase is a great data store, and it allows random access to the data, which Elasticsearch is perfect for. Elasticsearch fits very nicely into our data pipeline."

Adobe - Customer Case Study

Mozilla - Customer Case Study