{
  "slug": "influxdb",
  "name": "Influxdb",
  "description": "InfluxDB is a time series database engineered for real-time systems and physical AI. It allows developers to capture, analyze, and act on high-resolution operational data with precision and speed, designed to handle continuous data at scale without compromising cost, latency, or reliability.",
  "url": "https://optimly.ai/brand/influxdb",
  "websiteUrl": "https://influxdata.com/",
  "logoUrl": "https://logo.clearbit.com/influxdata.com",
  "baiScore": null,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Time Series Databases",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-27T15:03:19.027Z",
  "verifiedVitals": {
    "website": "https://influxdata.com",
    "category": "Time Series Database",
    "what_it_does": "InfluxDB is a time series database designed for real-time systems, including those powering physical AI. It enables the capture, analysis, and action on high-resolution operational data in real-time. The database is engineered for performance at scale, efficiently handling continuous, high-resolution data with precision and speed. It is purpose-built for demanding systems in sectors such as aerospace, energy & utilities, and for modern data historian applications, as well as for physical AI and infrastructure monitoring.",
    "primary_audience": "The primary audience for InfluxDB includes developers and organizations with demanding real-time data needs, particularly in areas like IoT, Industrial IoT, AI applications, operations monitoring, application metrics, and real-time analytics.",
    "core_product": "InfluxDB",
    "pricing_model": {
      "kind": "freemium",
      "detail": "InfluxDB operates on a freemium model. InfluxDB 3 Core is an open-source version that is free to download and run. InfluxDB Cloud Serverless offers a free tier with limited data ingestion rates and 30-day retention. For higher usage and enterprise features, there is a usage-based plan that charges for data ingested, query count, storage, and data transferred out. Additionally, InfluxDB offers enterprise and dedicated cloud options with custom pricing, and annual plans with discounted rates are available by contacting sales."
    },
    "parent_ownership": "InfluxDB is developed by InfluxData Inc.. InfluxData Inc. was founded in 2012 by Todd Persen, initially as Errplane, and rebranded to InfluxData Inc. in 2015. It is a Series E company that has received funding from investors such as Y Combinator, Mayfield, and Trinity Ventures. There is no indication of a parent company owning InfluxData."
  },
  "intentTags": {
    "problemIntents": [
      "Systems that cannot afford to lag due to data processing delays",
      "Databases not built for handling high-resolution time series data",
      "Challenges with telemetry, edge devices, and physical AI data volumes",
      "High costs, latency, or reliability issues with existing data solutions",
      "Outages, performance regressions, and costly blind spots in monitoring systems",
      "Difficulty managing grid volatility across distributed energy assets",
      "Need for predictive maintenance to prevent equipment failures",
      "Requirement for pinpoint precision in mission-critical navigation data"
    ],
    "solutionIntents": [
      "Real-time data capture, analysis, and action",
      "High-speed data ingest and real-time analytics",
      "Edge-to-cloud data continuity for distributed systems",
      "Purpose-built architecture for continuous data with efficient compression and storage",
      "Seamless integration with existing tech stacks and developer tools",
      "Automatic eviction and streaming of cold data to data lakes and warehouses",
      "Support for AI and Machine Learning workloads with high-precision telemetry",
      "Building scalable monitoring systems",
      "Deployment flexibility across on-premise, edge, and cloud environments",
      "Modernization of data historian workloads for Industry 4.0"
    ],
    "evaluationIntents": [
      "Evaluating time series database solutions",
      "Assessing database performance for real-time, high-resolution data",
      "Comparing solutions for edge-to-cloud data pipelines",
      "Reviewing options for integrating time series data into AI/ML workflows",
      "Investigating cost-efficiency and scalability of data management platforms",
      "Searching for alternatives to traditional data historians",
      "Examining developer-friendly databases with extensive client libraries",
      "Considering solutions for building robust infrastructure and systems monitoring",
      "Analyzing solutions for asset monitoring and operational intelligence"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1787912916345
}