Quick comparison
| # | App | Pricing | Verified price | Open source | Platforms | Verified facts | Score |
|---|
| 1 |  InfluxDB | Open source | — | Yes | Linux, macOS, Self-hosted +1 | 5 of 5 | 68.8 |
| 2 |  Tiger Data | Paid | Compute from $30/month (Performance) | Yes | Web, Self-hosted | 4 of 4 | 54.4 |
| 3 |  Prometheus | Open source | — | Yes | Self-hosted, Linux, macOS +1 | 4 of 4 | 51.2 |
| 4 |  VictoriaMetrics | Open source | From $200/month | Yes | Self-hosted, Linux, macOS +1 | 4 of 4 | 50.0 |
1Best for: Teams storing high-volume metrics, IoT or telemetry data that they query by time
Open sourceSelf-hostableLinux, macOS, Self-hosted, Web
Why switch from QuestDB
The best-known time-series database, with a managed cloud and a large Telegraf plugin ecosystem.
Pros
- Purpose-built for high write rates of time-stamped data
- SQL support in version 3 lowers the learning curve
- Telegraf agent makes collecting data from common systems easy
- Self-hosted, managed cloud and AWS-native options
Cons
- Free Core edition lacks high availability and enterprise security
- Repeated rewrites between versions 1, 2 and 3 have made upgrades disruptive
- Enterprise and dedicated cloud pricing is quote-only
How this score is calculated
Editorial fit ×0.3100
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
2Best for: Teams storing and querying large time-series or event datasets in Postgres
PaidOpen sourceSelf-hostableWeb, Self-hosted
Why switch from QuestDB
TimescaleDB runs inside full PostgreSQL, so time-series tables sit next to your relational data.
Pros
- Fast time-series queries and strong compression on plain Postgres
- Self-hostable TimescaleDB extension
- Hourly billing with a 30-day trial
Cons
- No permanent free cloud tier
- Some features use a source-available licence rather than open source
- Extra value is limited for non-time-series apps
How this score is calculated
Editorial fit ×0.352
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
3Best for: Engineers running Kubernetes or microservices who want the de facto standard for metrics
Open sourceSelf-hostableSelf-hosted, Linux, macOS, Windows
Why switch from QuestDB
Better fit when the data is infrastructure metrics scraped from services and paired with alerting.
Pros
- Industry-standard metrics format supported almost everywhere
- PromQL is expressive for alerts and analysis
- Simple single-binary deployment
Cons
- No built-in long-term or clustered storage
- Metrics only, so logs and traces need other tools
- Basic UI, so you will want Grafana too
How this score is calculated
Editorial fit ×0.341
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
4Best for: Teams outgrowing Prometheus who want cheaper long-term metrics storage
Open sourceSelf-hostableSelf-hosted, Linux, macOS, Windows
Why switch from QuestDB
Lightweight, Prometheus-compatible metrics store with free clustering in its open-source version.
Pros
- Uses far less memory and disk than many alternatives
- Drop-in compatible with Prometheus and Grafana
- Simple single-binary option, cluster when needed
Cons
- Some features are enterprise-only
- MetricsQL extensions can reduce portability
- Logs and traces products are newer
How this score is calculated
Editorial fit ×0.338
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula