Companies that use Elasticsearch (APM, Logging + Kibana)

Richemont Siemens Healthineers Salesforce Bosch Orange NielsenIQ Morgan Stanley Visa VINCI Leidos

We dug into our own data to find which companies are using Elasticsearch in production. We also asked a few engineers from these companies to share us any use cases they use Elasticsearch for, whether it's for enterprise search, observability, or app search.

Richemont

Luxury Goods · Geneva, Switzerland · Elasticsearch

Richemont is the luxury goods holding company that owns some of the world's most prestigious watch and jewelry brands, including Cartier, Van Cleef & Arpels, IWC, and Montblanc. They sell mostly through their own boutiques and the Maison websites, with a smaller piece through online luxury retailers.

Richemont uses Elasticsearch as one of the main tools powering the search experience on the luxury brand websites. When a shopper goes to Cartier.com to find a Tank watch in rose gold, or to Vancleefarpels.com to filter clover necklaces by stone type, Elasticsearch is what's matching their search terms and filters against the catalog and returning results. The e-Commerce engineering team builds the microservices that connect those luxury sites to Elasticsearch.

The other place Elasticsearch shows up is in the team that maintains Richemont's content management system, which is the framework powering the actual web pages, product descriptions, and editorial content across all the Maison websites. They use it alongside their internationalization work, since each Maison site needs to work in dozens of languages and currencies. A customer browsing IWC.com in Japanese needs the search to surface watches with Japanese product descriptions and pricing, and Elasticsearch is what makes that work fast.

Siemens Healthineers

Medical Devices · Erlangen, Germany · Elasticsearch

Siemens Healthineers is one of the world's largest medical device companies, with around 71,000 employees. They make MRI machines, CT scanners, ultrasound machines, and laboratory diagnostic equipment that hospitals around the world use to image patients and run lab tests. Through their Varian subsidiary, they also make the linear accelerators and radiation therapy systems used to treat cancer.

Siemens Healthineers uses Elasticsearch as the core of an internal database Varian built to keep track of every cancer treatment machine they have installed at hospitals around the world. The way it works: each Varian machine out in the field has a small piece of software running on it that periodically reports back things like the machine's location, its software version, its current settings, and whether anything has changed.

That information gets stored in Elasticsearch, so Varian's internal teams can search through it to answer questions like "which hospitals still have machines on an older software version that we need to update" or "how many TrueBeam systems do we have installed in Europe right now". Across the whole installed base there are over 100,000 of these reporting connections.

The other place Elasticsearch shows up is in Siemens Healthineers' parts ordering portal. When a hospital that owns a Siemens MRI or CT scanner needs to buy a spare part or renew a service contract, they go through an online portal where they search through the catalog of components that fit their specific machine model. Elasticsearch is what's matching their searches against that catalog.

Salesforce

Software · San Francisco, CA · Elasticsearch

Salesforce is the world's largest CRM company. Their main product is the customer relationship management software that sales teams, customer support teams, and marketing teams at companies use to track customer interactions and manage deals. They also own Slack (workplace messaging), Tableau (business intelligence), and Commerce Cloud (e-commerce), and recently acquired Informatica (enterprise data management).

Salesforce uses Elasticsearch as one of the search technologies powering Commerce Cloud, which is the e-commerce platform many big-name brands use to run their online stores (Adidas, Puma, L'Oreal, and others use it). When a shopper goes to one of those brand sites and searches for a product, the Commerce Cloud Search team's infrastructure handles that lookup. They use Elasticsearch alongside Lucene and Solr to support the search.

The other place Elasticsearch shows up is in the Informatica side of the business. Informatica builds software that helps big companies catalog and manage all the data scattered across their systems. The team there uses Elasticsearch as part of their Data Governance product to help users quickly discover what data the company actually has, where it lives, and what it means. When someone at a customer wants to find "all the tables that contain customer phone numbers" across their hundreds of databases, Elasticsearch is what's making that lookup fast.

Bosch

Industrial Technology · Gerlingen, Germany · Elasticsearch

Bosch is one of the largest industrial technology companies in the world, with around 413,000 employees. They make car parts (everything from engine control units to brakes to driver assistance systems for major automakers), power tools, home appliances, heating systems, and a wide range of industrial sensors.

Bosch uses Elasticsearch as part of how their automated driving division searches through their massive library of self-driving car data. Bosch develops driver assistance and self-driving systems for car manufacturers, and their test vehicles collect huge amounts of camera, LIDAR, and radar footage out on the road.

The team in Shanghai built a search platform on top of that data so engineers can find specific situations in the footage, like "all the times a pedestrian crossed the road in heavy rain" or "every time the car saw a construction zone at night".

Being able to find those edge cases is what their machine learning teams use to train and improve the self-driving models. They use Elasticsearch alongside vector databases like Faiss and Milvus to power those searches.

Orange

Telecommunications · Issy-les-Moulineaux, France · Elasticsearch

Orange is one of the largest telecommunications operators in the world, with around 142,000 employees and 291 million customers across 26 countries. Their main business is mobile and fixed-line phone service plus home internet, but they also run a TV service for their internet customers.

Orange uses Elasticsearch as part of how their team keeps Orange TV running. Orange TV is the TV service their internet customers in France get, and it has around 6.5 million people watching every month through set-top boxes, plus another 2 million who watch on phones, tablets, computers, and connected TVs.

The operations team uses Elasticsearch alongside Grafana, MongoDB, and other tools to monitor whether live TV is streaming properly, whether recordings are saving, whether replay (catch-up TV) is working, and whether the on-demand and games services are responding.

When something breaks for a chunk of customers, the team uses the Elasticsearch data to figure out which service is misbehaving and which set of devices are affected.

NielsenIQ

Consumer Intelligence · Chicago, IL · Elasticsearch

NielsenIQ (also known as NIQ) is the world's largest consumer intelligence company. They track what people buy in stores and online (food, beverages, household products, beauty products, etc.) and sell that data to the brands and retailers who want to know how their products are selling and what their competitors are doing. They have around 30,000 employees and operate in over 100 countries.

NielsenIQ uses Elasticsearch as part of their Label Insight product, which is the team that digitizes the information printed on packaged goods. Whenever a new food, beverage, or household product hits the shelves, Label Insight captures everything from the package: the ingredients, the nutrition facts, the marketing claims like "gluten-free" or "non-GMO", the allergen warnings, and so on.

That data gets stored across several databases including Elasticsearch, which is what makes it searchable. Brands and retailers use it to answer questions like "show me every cereal sold in the US that's both gluten-free and high-fiber" or "which competitor products mention 'organic' on the package".

The Label Insight engineering team builds the platform on AWS using Java, Kotlin, and Python, with Elasticsearch sitting alongside MySQL, PostgreSQL, and DynamoDB to handle different parts of the product data.

Visa

Financial Services · Foster City, CA · Elasticsearch

Visa uses Elasticsearch in two very different corners of its business, and the most interesting one is fraud detection.

Featurespace, the fraud and money-laundering detection company Visa acquired, builds a product called ARIC Risk Hub that watches transactions in real time for big banks and flags the ones that look suspicious. Elasticsearch is one of the core pieces of technology running underneath it, installed and tuned for each bank when the system goes live.

Once a customer is up and running, a separate team keeps the whole thing healthy as a cloud service. They monitor the clusters, run failure drills, and upgrade the platform so fraud detection never goes dark, since the banks using it can't afford downtime.

The other place Elasticsearch shows up is inside Currencycloud, the cross-border payments platform Visa acquired in 2021. There, engineers use it as the searchable store for the logs their applications produce. When something goes wrong in the dozens of services that move money across borders, an engineer can pull up Elasticsearch and search through the log history to figure out exactly what happened and where.

So one product helps Visa catch fraudsters in the act and helps Visa's own engineers track down problems in the payments pipeline before customers notice.

VINCI

Construction · Paris, France · Elasticsearch

Vinci is a French construction and energy giant whose internal IT arm runs Elasticsearch as the engine behind the team that watches over the company's own technology systems.

The team is called Observability and Web Hosting, and their job is to keep an eye on the platforms that the rest of Vinci's businesses depend on every day. Elasticsearch is where all the activity from those platforms gets pulled in and stored, so when something starts to go wrong, the team has a single place to look.

Once the data is flowing in, engineers use it to spot problems early, dig into what's happening when an incident hits, and tune the system so it stays fast as the company keeps growing. The platform handles a steady stream of new data sources from across Vinci, so a chunk of the work is making sure the pipeline keeps up without anything getting dropped.

Vinci also has a separate consulting arm called Axians that helps outside companies set up Elasticsearch for similar purposes, including security work where the same kind of log data is used to spot cyber threats. The expertise they've built running it for themselves is the same expertise they then sell to clients.

Leidos

Defense and Space · Reston, VA · Elasticsearch

Leidos uses Elasticsearch as the search and log analytics layer behind some of the most sensitive systems it runs for the U.S. government, and the most distinctive use is inside an identity and access system that protects national mapping intelligence.

The system is called GEOAxIS, and it controls who's allowed to log into and view the classified maps and imagery produced by the National Geospatial-Intelligence Agency. Leidos engineers built a log analytics setup on top of Elasticsearch to watch over GEOAxIS, pulling in logs from across the system so the team can see what's happening inside it in close to real time.

Once those logs are flowing in, dashboards built on top of Elasticsearch let the team spot problems, track who's accessing what, and pull up the history of any login or permission change. Because the system protects access to highly sensitive maps, the dashboards themselves use role-based filtering so each viewer only sees what they're cleared to see.

Elasticsearch also shows up in Leidos's defense work in another form: the team running the Joint Management Tool, which helps the Department of Defense plan and operate satellite communications, uses Elasticsearch clusters running on Kubernetes to power the dashboards that let satellite operators see the state of their network at a glance.

So whether it's controlling who can see classified maps or helping operators keep satellites talking, Elasticsearch is the layer that turns a flood of system logs into something a person can actually read and act on.