Database Data v1.0.0 Updated 2026-01-29
TimescaleDB
PostgreSQL for time-series data
21.5k N/A Unknown N/A
74 /100
Quick Verdict
Best For
- Applications needing reliable data storage
- Teams requiring scalability
- Projects with complex queries
- Data-intensive applications
Consider Alternatives If
- Simple key-value needs
- Embedded applications
- Zero-config requirements
Top Alternatives
Score Breakdown
6 dimensions evaluated with transparent methodology
Performance
84 −16
Optimized query execution with efficient storage
- Fast query execution
- Efficient indexing
- Connection pooling
Why not 100%:
- −8 Performance varies with query complexity
- −8 Scaling requires configuration
Developer Experience
69 −31
Good tooling and client libraries
- Multiple client libraries
- GUI tools available
- Good error messages
Why not 100%:
- −15 Learning curve for optimization
- −15 Advanced features require expertise
Ecosystem
50 −50
Established ecosystem with integrations
- Wide hosting support
- ORM compatibility
- Monitoring tools
Why not 100%:
- −25 Ecosystem maturity varies
- −25 Some integrations need setup
Maintainability
79 −21
Mature with stable release cycle
- LTS versions available
- Clear upgrade paths
- Backward compatibility
Why not 100%:
- −10 Major upgrades need planning
- −10 Data migration complexity
Cost Efficiency
73 −27
Various pricing options from free to enterprise
- Self-hosted option
- Managed services available
- Predictable pricing
Why not 100%:
- −13 Storage costs at scale
- −13 Compute costs for heavy workloads
Compliance
90 −10
Enterprise security features available
- Encryption at rest
- Audit logging
- Access controls
Why not 100%:
- −5 Some features require enterprise tier
- −5 Compliance setup required
Compare Alternatives
How TimescaleDB stacks up against similar technologies
| Technology | Overall | Perf | DX | Ecosystem | |
|---|---|---|---|---|---|
| Current TimescaleDB | 74 | 84 | 69 | 50 | |
| postgres Full-featured relational | 85 | — | — | — | Compare → |
| ClickHouse Analytics OLAP | 77 | — | — | — | Compare → |
Sources & Methodology
How we calculate these scores: transparent and reproducible
primary
GitHub
Repository activity, stars, contributors, issue resolution time
contextual
Community Signals
Stack Overflow activity, Discord engagement, developer surveys
secondary
OSV Database
Known vulnerabilities, security advisories, CVE tracking
Data version:
1.0.0 Last updated: 2026-01-29 Confidence: 85% Metrics: 26/01/2026