List of InfluxDB Customers
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United States
Since 2010, our global team of researchers has been studying InfluxDB 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 InfluxDB for Database Management 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 InfluxDB for Database Management include: Tesla, a United States based Automotive organisation with 125665 employees and revenues of $97.69 billion, Capital One, a United States based Banking and Financial Services organisation with 76300 employees and revenues of $39.11 billion, Texas Instruments, a United States based Manufacturing organisation with 34000 employees and revenues of $17.52 billion and many others.
Contact us if you need a completed and verified list of companies using InfluxDB, 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 InfluxDB 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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Capital One | Banking and Financial Services | 76300 | $39.1B | United States | InfluxData | InfluxDB | Database Management | 2018 | n/a |
In 2018, Capital One implemented InfluxDB Enterprise as a Database Management platform hosted on AWS to establish a fault tolerant observability backbone. The deployment centralized storage for infrastructure, application, and business process metrics and explicitly supported real time ML driven predictions to improve customer service and uptime in the United States.
The implementation leveraged InfluxDB capabilities for clustered, resilient time series storage, retention management, and continuous queries to enable streaming access for analytics and predictive models. Configuration focused on scalable ingestion pipelines and query performance for operational telemetry, using InfluxDB Enterprise features to provide availability and replication across the hosted environment.
The deployment architecture ran on AWS and covered infrastructure and application observability across Capital One s U.S. footprint, with data flows feeding ML pipelines for prediction and alerting workflows. Disaster recovery planning and monitoring consolidation were core elements of the operational design, aligning storage policies and failover behavior with incident response processes.
Governance emphasized a more manageable monitoring ecosystem and operational visibility, consolidating disparate telemetry into InfluxDB to reduce monitoring complexity and support standardized observability practices. The use of InfluxDB Enterprise as the Database Management component produced real time visibility and a unified metric store to support downstream ML driven decisioning and uptime management.
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Tesla | Automotive | 125665 | $97.7B | United States | InfluxData | InfluxDB | Database Management | 2022 | n/a |
In 2022, Tesla deployed InfluxDB Enterprise as its Database Management solution to collect, process, and store time-series data from manufacturing assets. The implementation focused on manufacturing and operations monitoring across Tesla's U.S. production operations, and it was designed to enable predictive maintenance and reduce downtime.
The configuration centralized time-series ingestion from drives, robots, and sensors and leveraged InfluxDB Enterprise capabilities for high-throughput writes, real-time querying, and operational analytics. Functional capabilities implemented included continuous data capture, time-series storage, retention and downsampling policies, and real-time query engines to support industrial telemetry and operational insight workflows.
Data sources consisted of manufacturing asset telemetry streams from drives, robots, and sensors feeding into InfluxDB Enterprise for industrial telemetry. Operational coverage targeted manufacturing and operations teams, with analytics workflows supporting production monitoring and maintenance planning across U.S. production sites.
Governance emphasized a centralized telemetry store and standardized ingestion pipelines to support consistent operational analytics and predictive maintenance processes. According to the vendor case study, the deployment delivered real-time analytics and higher-throughput querying to provide operational insights that enabled predictive maintenance and reduced downtime.
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Texas Instruments | Manufacturing | 34000 | $17.5B | United States | InfluxData | InfluxDB | Database Management | 2021 | n/a |
In 2021 Texas Instruments implemented InfluxDB as a time series Database Management solution to support IIoT manufacturing monitoring across its global factories. The deployment targeted ingestion of approximately 1.5 million sensor data points per day to improve manufacturing visibility and detect anomalies that could affect equipment utilization.
The InfluxDB deployment was configured as a high-throughput time series ingestion pipeline collecting sensor telemetry from production equipment, enabling real-time dashboards and faster prototyping workflows. Functional capabilities implemented included time series storage and query, aggregation for dashboarding, anomaly detection workflows, and 24/7 operational support reported in the vendor case study published December 2021.
Operational scope centered on manufacturing and production monitoring across TI plants, with project leadership and rollout coordination run from TI's U.S. teams and direct support for shop floor monitoring and operations teams. The implementation positioned InfluxDB as the Database Management backbone for IIoT telemetry, improving visibility and supporting efforts to increase overall equipment utilization as described in the published case study.
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