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Head-to-head · Time-Series Databases

QuestDB vs TDengine

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score QuestDB #9 in Time-Series Databases 8.4/10 Free plan Free plan✓ 3 of 3 features Visit QuestDB
TDengine #10 in Time-Series Databases 8.2/10 Free plan Free plan✓ 3 of 3 features Visit TDengine

QuestDB leads on 0 checks, TDengine on 0, and 4 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 scoreQuestDB · 8.4/10
  • Free planboth

QuestDB scores higher on our rubric for time-series databases: 8.4 against 8.2 out of 10; our editors rank them #9 and #10.

QuestDB is the better fit for open-source SQL time-series deployments. TDengine is the better fit for industrial telemetry and high-volume ingestion.

  • QuestDB fits best

    Open-source SQL time-series deployments

  • TDengine fits best

    Industrial telemetry and high-volume ingestion

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 QuestDB 8.4/10 Visit ↗ TDengine 8.2/10 Visit ↗
At a glance
Editor score 8.4 8.2
Ranking #9 in Time-Series Databases #10 in Time-Series Databases
Best for Open-source SQL time-series deployments Industrial telemetry and high-volume ingestion
Pricing model Free Free plan + paid
Starting price Free plan —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted, Browser extension Cloud, Self-hosted
Platforms Web, Windows, macOS, Linux Web, Windows, macOS, Linux
Support Email, Community, Docs Docs · 24/7
Compliance SOC 2, SSO/SAML SOC 2, ISO 27001
Integrations 11 integrations 14 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features QuestDB 3/3 · TDengine 3/3
SQL support ✓ ✓
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Both
Query languages QuestDB SQL, PostgreSQL wire protocol, REST API, Apache Parquet SQL
Ingestion methods QuestDB Wire Protocol, InfluxDB Line Protocol, REST API, native client libraries, SQL INSERT, Kafka connector, CSV import SQL, InfluxDB Line Protocol, OpenTSDB Telnet Protocol, OpenTSDB JSON Protocol, MQTT, OPC UA, OPC DA, Kafka, CSV, PI System, MySQL, PostgreSQL, Oracle, MongoDB
Our review
Pros
  • Apache 2.0 core with self-managed deployment
  • SQL extensions, retention policies, and materialized views
  • Integrates with Kafka, Grafana, Spark, and Parquet
  • Supports MQTT, Kafka, OPC UA, relational databases, and line protocols
  • Combines retention, clustering, stream processing, and edge-to-cloud synchronization
  • Offers self-hosted, managed cloud, and a free tier for up to 5,000 tags
Cons
  • High availability and replication are Enterprise features
  • Enterprise pricing is contact-based
  • Self-managed deployment requires infrastructure ownership
  • Paid cloud pricing starts at $970 per month
  • Free Tier is limited to self-hosted usage up to 5,000 tags
  • Paid self-hosted licenses support 7,500 tags
Our verdict

QuestDB is an open-source time-series database for financial market data, telemetry, and real-time analytics. It is aimed at teams that want SQL alongside time-series capabilities, with a column-oriented, time-partitioned storage engine…

Read the review →

TDengine is a distributed time-series database for industrial and IoT data. It stores and queries timestamped data through TDengine SQL, with features for configurable retention, distributed clustering, stream processing, data…

Read the review →
  1. QuestDBTime-Series Databases 8.4Free plan
  2. TDengineTime-Series Databases 8.2Free plan

Strengths and trade-offs

  • QuestDB — where it wins

    • Apache 2.0 core with self-managed deployment
    • SQL extensions, retention policies, and materialized views
    • Integrates with Kafka, Grafana, Spark, and Parquet

    Where it doesn't

    • High availability and replication are Enterprise features
    • Enterprise pricing is contact-based
    • Self-managed deployment requires infrastructure ownership
  • TDengine — where it wins

    • Supports MQTT, Kafka, OPC UA, relational databases, and line protocols
    • Combines retention, clustering, stream processing, and edge-to-cloud synchronization
    • Offers self-hosted, managed cloud, and a free tier for up to 5,000 tags

    Where it doesn't

    • Paid cloud pricing starts at $970 per month
    • Free Tier is limited to self-hosted usage up to 5,000 tags
    • Paid self-hosted licenses support 7,500 tags
  • QuestDB8.4/10 · Free plan

    A strong fit for teams wanting SQL, flexible ingestion, and self-managed time-series infrastructure.

    Visit QuestDBFull verdict →
  • TDengine8.2/10 · Free plan

    A flexible industrial time-series database with broad ingestion and deployment options.

    Visit TDengineFull verdict →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update