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Head-to-head · Time-Series Databases

Apache IoTDB vs VictoriaMetrics

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache IoTDB #1 in Time-Series Databases 9.3/10 Open source ✓ 3 of 3 features Visit Apache IoTDB
VictoriaMetrics #8 in Time-Series Databases 8.5/10 Free plan Free plan✓ 2 of 3 features Try VictoriaMetrics

Apache IoTDB leads on 1 check, VictoriaMetrics on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache IoTDB · 9.3/10
  • Free planonly VictoriaMetrics
  • Most featuresApache IoTDB · 3 of 3

Apache IoTDB scores higher on our rubric for time-series databases: 9.3 against 8.5 out of 10; our editors rank them #1 and #8.

Apache IoTDB offers sql support; VictoriaMetrics doesn't.

Apache IoTDB is the better fit for ioT data with SQL and many ingestion options. VictoriaMetrics is the better fit for prometheus-compatible metrics at scale.

  • Apache IoTDB fits best

    IoT data with SQL and many ingestion options

  • VictoriaMetrics fits best

    Prometheus-compatible metrics at scale

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache IoTDB 9.3/10 Visit ↗ VictoriaMetrics 8.5/10 Visit ↗
At a glance
Editor score 9.3 8.5
Ranking #1 in Time-Series Databases #8 in Time-Series Databases
Best for IoT data with SQL and many ingestion options Prometheus-compatible metrics at scale
Pricing model Free Free plan + paid
Starting price Open source Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud, Self-hosted
Platforms Web, Windows, Linux Web, Windows, Linux
Support Community, Docs Email, Community, Docs
Integrations 4 integrations 15 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Apache IoTDB 3/3 · VictoriaMetrics 2/3
SQL support ✓ (best) —
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Both
Query languages IoTDB-SQL; Tree Mode SQL; Table Mode SQL MetricsQL, PromQL
Ingestion methods INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile Prometheus scraping, Prometheus remote write, Prometheus exposition, InfluxDB line protocol, Graphite plaintext, OpenTSDB, JSON line, CSV, native binary, DataDog, NewRelic, OpenTelemetry, Zabbix Connector
Our review
Pros
  • High-throughput real-time and batch ingestion across multiple interfaces
  • SQL with tree and table models, filtering, aggregation, and grouping
  • TTL retention, cluster scaling, and broad analytics integrations
  • Free Apache 2.0 open-source edition with single-node and cluster versions
  • PromQL-compatible querying, MetricsQL, and long-term Prometheus storage
  • Horizontal scaling, replication, multi-tenancy, and configurable retention
Cons
  • Self-managed deployment places operations and maintenance on the organization
  • Uses IoTDB SQL dialects rather than a single conventional SQL model
  • Its broad ingestion and integration surface may exceed smaller IoT projects
  • Cloud pricing starts at $200 per month
  • Enterprise pricing requires contacting sales
  • Metrics-focused design excludes SQL support
Our verdict

Apache IoTDB is an open-source, IoT-native time-series database for organizations managing large volumes of device and sensor data. It suits industrial use cases across energy, transportation, aerospace, manufacturing, and general IoT…

Read the review →

VictoriaMetrics is an open-source time-series database and monitoring solution for teams collecting, storing, and querying high-cardinality metrics. It supports self-hosted single-node deployments, horizontally scalable clusters, and a…

Read the review →
  1. Apache IoTDBTime-Series Databases 9.3Open source
  2. VictoriaMetricsTime-Series Databases 8.5Free plan

Strengths and trade-offs

  • Apache IoTDB — where it wins

    • High-throughput real-time and batch ingestion across multiple interfaces
    • SQL with tree and table models, filtering, aggregation, and grouping
    • TTL retention, cluster scaling, and broad analytics integrations

    Where it doesn't

    • Self-managed deployment places operations and maintenance on the organization
    • Uses IoTDB SQL dialects rather than a single conventional SQL model
    • Its broad ingestion and integration surface may exceed smaller IoT projects

  • VictoriaMetrics — where it wins

    • Free Apache 2.0 open-source edition with single-node and cluster versions
    • PromQL-compatible querying, MetricsQL, and long-term Prometheus storage
    • Horizontal scaling, replication, multi-tenancy, and configurable retention

    Where it doesn't

    • Cloud pricing starts at $200 per month
    • Enterprise pricing requires contacting sales
    • Metrics-focused design excludes SQL support

More comparisons

All Time-Series databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update