InfluxData

Name: InfluxData
Brand: InfluxData

Creator of InfluxDB, the leading time series data platform

Est 2012|Valuation $400M|Raised $201.7M|88 Ref Customers

LinkedIn 24K|Web traffic 152K|FTEs 165|HQ San Francisco, California, US

MarketsCloud Databases

01Competitive Landscape

Narrative competitor analysis

Timescale vs InfluxDB - Timescale emphasizes PostgreSQL compatibility and SQL familiarity, which can reduce training and migration costs for SQL-first organizations. - InfluxDB focuses on time-series specialization and a broad ingestion ecosystem. QuestDB vs InfluxDB - QuestDB publishes benchmarks that highlight faster ingest and analytical queries in certain scenarios, while acknowledging cases where InfluxDB performs better for single-series lookups. Both systems present different trade-offs depending on workload characteristics. VictoriaMetrics vs InfluxDB (metrics-centric) - VictoriaMetrics targets Prometheus-native metrics workloads with a focus on lower memory requirements and Prometheus protocol alignment. - It does not support InfluxQL/Flux and instead exposes its own query surface. Cloud provider options (AWS/Azure) - Cloud providers offer managed time-series services and hosted options that may appeal to customers seeking integration with a specific cloud platform. - Analytics-focused services target heavy-query workloads and often provide a free developer tier for evaluation.

Adoption trends and market signals

Press coverage and company statements have reported growth in cloud users and commercial customer counts. Treat such reporting as company-provided data.

	InfluxDB (InfluxData)	Timescale	Datadog (Infrastructure Monitoring)
Starting Price	Free tier available; cloud serverless uses usage-based billing for ingest, queries, storage, and egress	Modest entry compute plus storage-based charges for hosted offerings	Entry tier billed per host on an annual contract model
Best For	Time-series telemetry storage and time-window queries; multiple deployment models (cloud and self-managed)	Organizations seeking PostgreSQL compatibility with time-series extensions and SQL familiarity	Organizations seeking a turnkey observability SaaS rather than operating a standalone TSDB
Key Strength	Specialized time-series functionality and an integration ecosystem; multiple deployment options	Postgres compatibility and SQL familiarity; consolidation of relational and time-series workloads	Managed SaaS with integrated dashboards, alerts, and broader observability features
Key Weakness	Major version transitions and query language migration concerns; usage-based query costs can complicate forecasting	May require additional tuning for extreme ingest patterns; cost growth at scale for some workloads	Subscription costs can be significant at scale; not a general-purpose database

01Competitive Landscape

Narrative competitor analysis

Timescale vs InfluxDB

Timescale emphasizes PostgreSQL compatibility and SQL familiarity, which can reduce training and migration costs for SQL-first organizations.
InfluxDB focuses on time-series specialization and a broad ingestion ecosystem.

QuestDB vs InfluxDB

QuestDB publishes benchmarks that highlight faster ingest and analytical queries in certain scenarios, while acknowledging cases where InfluxDB performs better for single-series lookups. Both systems present different trade-offs depending on workload characteristics.

VictoriaMetrics vs InfluxDB (metrics-centric)

VictoriaMetrics targets Prometheus-native metrics workloads with a focus on lower memory requirements and Prometheus protocol alignment.
It does not support InfluxQL/Flux and instead exposes its own query surface.

Cloud provider options (AWS/Azure)

Cloud providers offer managed time-series services and hosted options that may appeal to customers seeking integration with a specific cloud platform.
Analytics-focused services target heavy-query workloads and often provide a free developer tier for evaluation.

Adoption trends and market signals

Press coverage and company statements have reported growth in cloud users and commercial customer counts. Treat such reporting as company-provided data.

	InfluxDB (InfluxData)	Timescale	Datadog (Infrastructure Monitoring)
Starting Price	Free tier available; cloud serverless uses usage-based billing for ingest, queries, storage, and egress	Modest entry compute plus storage-based charges for hosted offerings	Entry tier billed per host on an annual contract model
Best For	Time-series telemetry storage and time-window queries; multiple deployment models (cloud and self-managed)	Organizations seeking PostgreSQL compatibility with time-series extensions and SQL familiarity	Organizations seeking a turnkey observability SaaS rather than operating a standalone TSDB
Key Strength	Specialized time-series functionality and an integration ecosystem; multiple deployment options	Postgres compatibility and SQL familiarity; consolidation of relational and time-series workloads	Managed SaaS with integrated dashboards, alerts, and broader observability features
Key Weakness	Major version transitions and query language migration concerns; usage-based query costs can complicate forecasting	May require additional tuning for extreme ingest patterns; cost growth at scale for some workloads	Subscription costs can be significant at scale; not a general-purpose database