G2 Vendor Directory

Tiger Data vs. QuestDB

A side-by-side comparison based on G2 review data.

MetricTiger Data

by Tiger Data (creators of TimescaleDB)

QuestDB

by QuestDB

Overall rating4.64.8
Review count3235
Ease of use9.19.1
Ease of setup8.79.3
Quality of support9.69.8
Meets requirements9.39.1
NPS68.7593.939394
Small Business78.1%68.6%
Mid-Market18.8%17.1%
Enterprise3.1%14.3%
Total page views481154
Total LLM citations5,5191,342

Tiger Data

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly.

Pros

  • Ease of Use
  • Easy Setup
  • Setup Ease
  • Performance
  • Analytics
  • Speed

QuestDB

QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions and cold history in Parquet/object storage, queried via one SQL layer. Vectorized, columnar execution delivers high-throughput ingest and millisecond queries. Open formats (Parquet/Arrow) make it AI-ready and lock-in free. Deploy self-hosted or in your cloud (BYOC).

Pros