List of Elasticsearch Customers
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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, a Germany based Automotive organisation with 157457 employees and revenues of $165.99 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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Professional Services | 100 | $12M | United States | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2019 | n/a |
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Professional Services | 500 | $100M | India | Elasticsearch | Elasticsearch | Database Management,Open-Source Database | 2019 | n/a |
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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 | $724M | 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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Buyer Intent: Companies Evaluating Elasticsearch
- 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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