List of InfluxData Kapacitor Customers
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Since 2010, our global team of researchers has been studying InfluxData Kapacitor 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 InfluxData Kapacitor for Data Streaming 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 InfluxData Kapacitor for Data Streaming include: Oracle, a United States based Professional Services organisation with 162000 employees and revenues of $57.40 billion, RingCentral, a United States based Professional Services organisation with 4260 employees and revenues of $2.40 billion, Houghton Mifflin Harcourt, a United States based Professional Services organisation with 5500 employees and revenues of $1.03 billion and many others.
Contact us if you need a completed and verified list of companies using InfluxData Kapacitor, 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 InfluxData Kapacitor 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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Houghton Mifflin Harcourt | Professional Services | 5500 | $1.0B | United States | InfluxData | InfluxData Kapacitor | Data Streaming | 2019 | n/a |
In 2019, Houghton Mifflin Harcourt deployed InfluxData Kapacitor as part of a Data Streaming implementation to gain real-time visibility into AWS spend and DevOps KPI telemetry for its Bedrock platform in Boston, United States. The InfluxData Kapacitor instance was integrated into a time series architecture together with InfluxDB Enterprise and Telegraf to ingest, process, and route streaming metrics from cloud billing and platform telemetry.
Kapacitor was configured to leverage templating and user defined function support to standardize alert logic and custom processing across monitoring pipelines, while using advanced downsampling to manage time series retention and reduce storage volumes. Functional capabilities implemented included real-time stream processing, templated alert rule sets, UDF based enrichment and transformation, and downsampling for long term metric storage.
Integrations were explicitly implemented with PagerDuty, Slack, and webhooks to operationalize alerts and incident workflows for DevOps and cloud cost teams. Governance and rollout emphasized reusable templates and UDF libraries to enforce consistent alerting and telemetry processing across teams, and the deployment supported optimization of cloud costs and operational monitoring for the Bedrock platform.
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Oracle | Professional Services | 162000 | $57.4B | United States | InfluxData | InfluxData Kapacitor | Data Streaming | 2016 | n/a |
In 2016, Oracle implemented InfluxData Kapacitor as the primary alerting engine within its Data Streaming environment for Oracle Data Cloud, Datalogix. The deployment positioned InfluxData Kapacitor for real time stream processing and alerting alongside time series ingestion and storage components.
InfluxData Kapacitor was configured alongside InfluxDB and Telegraf to monitor Mesos based container stacks and to provide self service monitoring for development teams. The team templatized TICKscripts to standardize alert definitions and packaged Kapacitor as containerized options so individual teams could provision alerting instances. Alert pipelines were implemented to surface operational signals from container metrics into Kapacitor rule sets.
Kapacitor was integrated with chat and on call systems to route alerts directly into development workflows and on call rotations, improving visibility into container health and cost drivers. Operational coverage focused on development teams in the United States within Oracle Data Cloud, maintaining decentralized ownership of monitoring while leveraging a consistent alerting platform.
This configuration improved visibility and helped control infrastructure costs. Governance relied on templatized TICKscripts to enforce consistent alert behavior and to constrain alert sprawl across teams.
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RingCentral | Professional Services | 4260 | $2.4B | United States | InfluxData | InfluxData Kapacitor | Data Streaming | 2017 | n/a |
In 2017 RingCentral deployed InfluxData Kapacitor as part of a TICK-based monitoring and alerting platform. The deployment targeted Data Streaming workloads to support its large scale telecom infrastructure and DevOps operations across North America.
RingCentral provisioned a Kapacitor pool of processing nodes and built an in-house Kapacitor Manager to orchestrate task distribution, lifecycle management, and rule provisioning. InfluxData Kapacitor was configured for stream processing, complex event detection, and programmatic alerting, and the engineering team adopted alerting-as-code to manage trigger definitions as versioned artifacts.
The Kapacitor deployment was integrated into the broader TICK-based platform to consume real time metric streams and evaluate conditions at scale, with outputs routed to the organizations incident and notification pipelines. Operational coverage explicitly focused on North America telecom infrastructure monitoring and DevOps telemetry, handling millions of metrics and hundreds of thousands of triggers.
Governance relied on the Kapacitor Manager to enforce rule ownership, automate rollout of trigger updates, and centralize monitoring of trigger health and execution. Outcomes reported included improved visibility and enabling alerting-as-code while scaling the Kapacitor pool to meet high volume metric ingestion and trigger evaluation requirements.
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