InfluxData GTM brain

category

market profile

• text: Connected equipment and infrastructure create continuous high-resolution data that needs fast ingestion and time-based analysis.
• text: Developers can start with open source software while larger deployments may require managed infrastructure, high availability and enterprise support.

personas

• title: Platform engineer or application developer
  pains:

  • Needs to ingest and query high-volume metrics without building a bespoke time series storage layer
  • Needs tooling that integrates with existing telemetry pipelines
• title: Industrial data or reliability engineering leader
  pains:

  • Sensor data is fragmented across equipment and sites
  • Delayed insight makes it harder to anticipate equipment failures and reduce downtime
• title: Infrastructure or observability leader
  pains:

  • High-cardinality telemetry and retention create operational and cost pressures
  • Needs dependable monitoring at production scale

icp

• text: Industrial, energy, aerospace and telecommunications organizations with fleets of connected assets or operational telemetry; enterprise deployments can be multi-site.
• text: Software and infrastructure teams of varying sizes building monitoring, IoT or real-time analytics applications, from open source users to enterprise buyers.

message pillars

• text: Serve real-time operational systems with a specialized database.
• text: Process continuous high-resolution workloads at scale.
• text: Support deployment across the edge and cloud.

objections

• objection: Why not use our existing general-purpose database?
  response: Benchmark representative ingest rates, query latency and storage costs on the actual time series workload before deciding.
• objection: We cannot operate another critical database ourselves.
  response: Compare fully managed cloud options with self-managed Enterprise based on deployment, reliability and support requirements.
• objection: An enterprise deployment may be expensive or hard to justify.
  response: Scope a proof of concept around a defined telemetry workload and verify total storage, infrastructure and support costs.

competitors

• name: Timescale
  why: TimescaleDB competes for time series workloads using a PostgreSQL-based approach.
• name: QuestDB
  why: Purpose-built database competing for high-ingest time series applications.
• name: ClickHouse
  why: Analytics database considered for event and time series workloads.

influencers

• name: Paul Dix
  url: https://www.linkedin.com/in/pauldix
  why: InfluxData founder and CTO who posts about InfluxDB releases and engineering.

keywords

• time series database
• industrial IoT data platform
• sensor telemetry database
• real time metrics storage
• predictive maintenance database
• InfluxDB alternative
• infrastructure monitoring database

voice

• Technical and developer-oriented
• Performance-focused
• Confident and practical

signals

• text: A company is deploying connected equipment or industrial telemetry and needs high-frequency monitoring.
• text: A team is scaling open source InfluxDB and needs high availability, support or managed operations.
• text: An engineering team is modernizing a data historian or monitoring pipeline for real-time analysis.

stack

• InfluxDB
• Telegraf
• AWS

pricing

motion

channels

• open source community
• developer documentation
• SEO
• webinars
• AWS partnerships
• LinkedIn

confidence

Founders

• name: Paul Dix
  title: Founder/CTO
  role: CTO
  bio: Co-founder and CTO of InfluxData, the company behind InfluxDB, an open source time series database. Creator of NYC Machine Learning Meetup, author of Service Oriented Design with Ruby, and series editor of Addison Wesley's Data & Analytics book and video series.