List of Elasticsearch Customers
Elastic
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Professional Services
3403
$1.3B
Since 2010, our global team of researchers has been studying Elasticsearch customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Elasticsearch for Database Management, Open-Source Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Elasticsearch for Database Management, Open-Source Database include: NHS, a United Kingdom based Healthcare organisation with 1297455 employees and revenues of $200.00 billion, BMW Group, a Germany based Automotive organisation with 146064 employees and revenues of $163.30 billion, Accenture, a Ireland based Professional Services organisation with 791000 employees and revenues of $64.90 billion, Ernst & Young, a United Kingdom based Professional Services organisation with 406209 employees and revenues of $51.20 billion, Ingram Micro, a United States based Distribution organisation with 23500 employees and revenues of $48.00 billion and many others.
Contact us if you need a completed and verified list of companies using Elasticsearch, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Elasticsearch customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Accenture | Professional Services | 791000 | $64.9B | Ireland | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2018 | n/a |
In 2018, Accenture implemented Elasticsearch to reimagine enterprise search across its global organization. Elasticsearch is referenced here as part of Database Management,Open-Source Database and was deployed to index and serve content from more than 50 different data sources and multiple internal knowledge platforms.
The implementation architecture combined a crawler, an enrichment layer, a user presentation tier, reporting and analytics, and the Elasticsearch search engine itself. Accenture ingested raw content into a dirty index, applied metadata enrichment and normalization in an intermediate layer, and then populated a clean index where queries execute, enabling consistent relevancy tuning and query instrumentation.
Operational coverage included the CIO Group responsible for the internal portal, knowledge platform, collaboration platform, and enterprise search, with a dedicated Search Excellence Team distributed across Manila and Chicago. The deployment surfaced search telemetry into Kibana for dashboarding and enabled continuous monitoring of search and indexing rates as part of ongoing operations.
Governance and process changes centered on a 25 person Search Excellence Team that combined technical tuning with process ownership, and on a metadata management service that sits alongside the enrichment system. This governance model institutionalized a continuous improvement workflow to detect trending queries, analyze gaps between intent and results, and iterate relevancy rules and enrichment logic without requiring data owners to alter source content.
Reported outcomes from the deployment include search latency reduced to under a second from roughly two to three seconds previously, improved relevancy and user satisfaction, decreased abandoned searches, and clearer visibility into why results rank as they do. The use of open source software and a leaner server footprint was cited as simplifying upgrades and management while lowering up front risk and operational complexity.
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Air France-KLM | Transportation | 78399 | $36.5B | France | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2018 | n/a |
In 2018, Air France-KLM implemented Elasticsearch to support continuity and availability of its test systems. The deployment positioned Elasticsearch as a Database Management,Open-Source Database resource for test environment observability and operational control, with explicit responsibility for point of contact duties and analysis and resolution of test environment availability issues.
The implementation included configuration and operationalization of the Elasticsearch suite, with Centreon and Kibana monitoring integrated to surface availability and performance signals. Teams created and implemented application diagrams by domain, defined deployment schedules, and maintained databases and middleware configurations to keep test environments aligned with evolving application topologies and innovation objectives.
Operational coverage focused on AFKL test environments and included the rollout of a service desk within the Service Center Test to handle incidents and requests for those environments. The work preserved synergy between the different players in test environments, combining test operations, QA, middleware, and database administration into a coordinated support model.
Governance and process changes were formalized through rules and guidelines to create, optimize and maintain stable test environments, alongside agile project management practices and defined escalation paths. Ongoing responsibilities emphasized maintenance of continuity, monitoring of environment health, and ownership of availability issue resolution within the test environment operating model.
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Airbus | Aerospace and Defense | 56000 | $34.0B | France | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2017 | n/a |
In 2017, Airbus deployed Elasticsearch to power the ADNS (Advanced Data Navigation Services) platform, classified in the Database Management,Open-Source Database category. The implementation targeted customer service access to aircraft technical documentation and was scoped to support approximately 80,000 internal and external users who require near real-time search across a growing corpus of technical content.
The ADNS implementation indexes more than 2 billion document fragments totaling roughly 6 terabytes, and was designed to sustain peaks of 3,000 queries per minute with a sub 2 second response objective. Functional capabilities implemented include real-time indexing and full text search, fine grained access-rights enforcement for authorized users, and visualization-driven monitoring to ensure platform visibility and operational health.
Airbus procured a commercial Elastic Stack Platinum subscription to obtain enterprise features and support, using Elasticsearch as the core search engine alongside Kibana for visualization and the Elastic monitoring features for proactive platform management. The deployment leverages the Elastic Stack to guarantee near real-time availability and to accelerate ADNS development velocity through search-centric application architecture and operational tooling.
The operational architecture consists of two internal active/active redundant data centers with 25 Elasticsearch servers in each data center, providing a highly available cluster topology and distributed indexing capacity. An agile delivery model guided the rollout, led by the ADNS IT project manager François Bedin, with stakeholder involvement across customer service, airline maintenance teams, and suppliers to validate performance and security requirements during a two year delivery timeline.
Outcomes explicitly stated by Airbus include delivering query results in under 2 seconds, achieving near real-time availability for aircraft technical documents, and reducing time to market for the ADNS solution. Continuous monitoring via Kibana dashboards and the Elastic monitoring features supports ongoing platform health and operational SLA commitments.
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American Ancestors | Professional Services | 100 | $12M | United States | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2019 | n/a |
In 2019, American Ancestors implemented Elasticsearch using Elastic's Elasticsearch Service to power search on AmericanAncestors.org. The nonprofit indexes roughly one terabyte of content, representing more than 1.4 billion names and over 40 million pages, supporting a membership base of more than 250,000 users and serving a predominantly senior research audience.
Prior to the managed deployment, the team had been running Elasticsearch 1.3 on five physical servers provisioned by external contractors, and they purchased a Platinum subscription to the Elasticsearch Service to increase availability and reduce administrative overhead. The production architecture now uses separate clusters for production and for monitoring, with Kibana deployed to visualize performance and operational telemetry, plus a full data test cluster to validate upgrades and limit production downtime.
Elasticsearch was configured to move search from strict match behavior to a best fit results model with prioritized rankings and suggestion capabilities to support the genealogy search experience. Implementation work included applying Elasticsearch security definitions so queries carry appropriate authentication, altering sharding strategy to improve query throughput, and instituting index hygiene after discovery that over 35 percent of indexed records were logically deleted documents, which led to changes in tools and processes to avoid excessive reindexing.
Operational governance and platform support were formalized through close engagement with Elastic support, who conducted problem query identification, performed code reviews on version changes, and advised on cluster optimization. The test cluster and visualization with Kibana enabled fact based performance assessment, streamlined upgrade workflows, and reduced the need for full cluster restarts.
The deployment demonstrates Database Management,Open-Source Database capabilities delivered by Elasticsearch at scale, yielding explicit operational outcomes reported by the customer, including a 60 percent reduction in disk usage, a 50 percent reduction in CPU utilization, search performance that is two to three times faster, successful handling of a 400 percent traffic surge during a three day promotional sign up, and an overall platform cost that was 25 percent lower than their prior physical server approach.
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Apna | Professional Services | 500 | $100M | India | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2019 | n/a |
In 2019 Apna deployed Elasticsearch on Google Cloud running on Elastic Cloud as its core search engine, aligning the project with its Database Management,Open-Source Database strategy to power candidate discovery and employer search. The implementation sits at the center of Apna's platform architecture, supporting an Android-first job seeker experience and a candidate database that underpins personalization and monetization for a user base of 50 million registered users and 600,000 employers in India.
Elasticsearch was configured to index structured profile attributes such as education, skills and experience, and to deliver semantic search and AI job matching capabilities that go beyond keyword queries. The implementation leverages custom scoring, built-in highlighting, and semantic relevance features to prioritize employer criteria and surface relevant candidates, while supporting personalized candidate engagement and targeted communications based on the latest user data.
Architecturally the deployment uses Elastic Cloud on Google Cloud, with cluster coordination and built-in replication to provide resilience and campaign isolation through a separate follower cluster, and automatic synchronization between clusters to absorb peak marketing demand. Apna has also evaluated Elastic Observability to capture logs and surface operational issues, and the Elasticsearch engine is integrated into the platform workflows that power job posting search, candidate recommendations, and the Apna community features used for events and sessions.
Operational ownership rests with Apna’s platform and engineering teams, who reallocated effort from cluster administration to revenue product development as part of the rollout. Monetization and product workflow changes include a pay-to-search model for employers, limited surfaced profile suggestions to drive upgrades, and instrumentation that enables employer searches with smart filters for location, experience and salary, impacting engineering, product, and commercial teams.
Explicit outcomes reported by Apna tied to the Elasticsearch deployment include a 20% increase in the number of employers paying for premium access, a 20% increase in platform team productivity as they focused on revenue generating features, a reported more than 50% improvement in employee productivity from reduced process layers and administration, a 15 to 20% increase in job applications attributed to better search relevance, and an 80% increase in profiles downloaded by employers.
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Insurance | 1300 | $500M | France | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2016 | n/a |
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Government | 150 | $45M | United States | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2024 | n/a |
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Professional Services | 1819 | $790M | United States | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2020 | n/a |
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Media | 65 | $5M | Singapore | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2024 | n/a |
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Retail | 163098 | $36.3B | France | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2022 | n/a |
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Showing 1 to 10 of 109 entries
Buyer Intent: Companies Evaluating Elasticsearch
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Elasticsearch. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Elasticsearch for Database Management, Open-Source Database include:
- Dexia, a Belgium based Banking and Financial Services organization with 1000 Employees
- Tubi̇tak, a Turkey based Government company with 5115 Employees
- Al Neama Holding, a Qatar based Oil, Gas and Chemicals organization with 1600 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Dexia | Banking and Financial Services | 1000 | $421M | Belgium | 2026-01-08 |
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Tubi̇tak | Government | 5115 | $1.3B | Turkey | 2026-01-07 |
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Al Neama Holding | Oil, Gas and Chemicals | 1600 | $200M | Qatar | 2025-12-23 |
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Media | 30 | $1M | Canada | 2025-12-22 |
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Professional Services | 160 | $15M | United States | 2025-12-01 |
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Professional Services | 10 | $1M | United Kingdom | 2025-09-22 |
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Professional Services | 70 | $8M | United Kingdom | 2025-09-08 |
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Professional Services | 1360 | $172M | India | 2025-04-30 |
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Professional Services | 34500 | $3.1B | United Kingdom | 2025-02-26 |
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Professional Services | 20 | $2M | United Kingdom | 2024-11-22 |
FAQ - APPS RUN THE WORLD Elasticsearch Coverage
Elasticsearch is a Database Management, Open-Source Database solution from Elasticsearch.
Companies worldwide use Elasticsearch, from small firms to large enterprises across 21+ industries.
Organizations such as NHS, BMW Group, Accenture, Ernst & Young and Ingram Micro are recorded users of
Elasticsearch for Database Management, Open-Source Database.
Companies using Elasticsearch are most concentrated in Healthcare, Automotive and Professional Services, with adoption spanning over 21 industries.
Companies using Elasticsearch are most concentrated in United Kingdom, Germany and Ireland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Elasticsearch across Americas, EMEA, and APAC.
Companies using Elasticsearch range from small businesses with 0-100 employees - 22.94%, to mid-sized firms with 101-1,000 employees - 28.44%, large organizations with 1,001-10,000 employees - 32.11%, and global enterprises with 10,000+ employees - 16.51%.
Customers of Elasticsearch include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Elasticsearch customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management, Open-Source Database.