Pricing Overview
Timescale offers a hybrid pricing approach that combines a genuine free tier with usage-based scaling for its managed cloud platform, Tiger Cloud. The open-source TimescaleDB extension remains free for self-hosting on your own PostgreSQL infrastructure, giving teams full control over costs at the expense of operational overhead. For managed deployments, Timescale provides a free tier with up to 10GB of storage and paid plans starting at $29/mo. The usage-based model means you pay for compute and storage resources as you consume them, with storage rates around $0.17/GB for SSD and $0.02/GB for tiered object storage. This structure rewards teams that leverage Timescale's native compression (up to 95% reduction), since compressed data costs dramatically less to store. A 30-day free trial is available for Tiger Cloud, making it straightforward to benchmark real workloads before committing.
Plan Comparison
Timescale structures its pricing around resource consumption rather than rigid plan tiers. Here is how the key cost components break down based on the available pricing data:
| Component | Free Tier | Paid (Usage-Based) |
|---|---|---|
| Storage (SSD) | Up to 10GB included | ~$0.17/GB/month |
| Storage (Object/Tiered) | Included in free allowance | ~$0.02/GB/month |
| Compute | Shared resources | ~$0.21/CPU-hour |
| Compression | Available (up to 95%) | Available (up to 95%) |
| Backups & PITR | Up to 14-day point-in-time recovery | Up to 14-day point-in-time recovery |
| High Availability | Not included | Available on Enterprise |
| Support | Community | Enterprise: 24/7 with SLAs |
The free tier is genuinely useful for development, prototyping, and small production workloads that stay within 10GB of uncompressed data. With 95% compression, that 10GB can effectively cover 50-200GB of raw time-series data depending on cardinality. The jump to paid usage is seamless since there are no plan gates to unlock -- you simply start paying per resource consumed beyond the free allowance. For teams requiring contractual SLAs, private networking, and dedicated support, the Enterprise tier requires a custom quote.
Hidden Costs and Considerations
Timescale's usage-based model has a few cost factors worth monitoring. Data transfer between regions or out to the internet carries additional charges beyond storage and compute. Read replicas, which are essential for isolating analytical workloads from production writes, add separate compute costs. If you enable High Availability with synchronous replication, expect roughly double the storage cost for the replicated data. Annual commitments or reserved capacity can lower per-unit rates compared to pure on-demand pricing, so teams with predictable workloads should negotiate upfront. Self-hosting TimescaleDB eliminates platform fees but shifts the burden of backups, monitoring, and upgrades to your infrastructure team.
Cost Estimates by Team Size
Based on Timescale's published pricing components, here are practical monthly cost projections:
| Scenario | Storage | Compute | Estimated Monthly Cost |
|---|---|---|---|
| Solo developer (10GB raw, post-compression ~1GB SSD) | Free tier | Free tier | $0 |
| Small team, 5 users (100GB raw, ~10GB SSD + 40GB tiered) | ~$1.70 SSD + $0.80 tiered | ~$30/mo base | ~$33/mo |
| Mid-size team, 20 users (1TB raw, ~50GB SSD + 500GB tiered) | ~$8.50 SSD + $10 tiered | ~$36/mo+ | ~$55-80/mo |
These estimates assume aggressive use of Timescale's native compression and tiered storage. Teams ingesting high-cardinality data with lower compression ratios should budget 2-3x the storage component. The real cost advantage shows at scale: a team storing 1TB of raw time-series data with 95% compression pays for roughly 50GB of SSD storage, which is a fraction of what a general-purpose database would charge for the same dataset.
How Timescale Pricing Compares
Timescale occupies a competitive position in the database market, especially for time-series workloads. Its free tier and low starting price undercut several alternatives, while the usage-based model keeps costs proportional to actual data volume.
| Tool | Pricing Model | Starting Price | Best For |
|---|---|---|---|
| Timescale | Usage-based with free tier | $0 (free tier) / $29/mo (paid) | Time-series on PostgreSQL, IoT, DevOps metrics |
| InfluxDB | Open Source / Cloud | $0 (self-hosted) / $250/mo (cloud) | Purpose-built time-series with Flux query language |
| Neo4j | Freemium | $0 (free) / $65/mo (AuraDB Professional) | Graph workloads, relationship-heavy queries |
| MotherDuck | Freemium | $25/mo (Pro) / $49/mo (Team) | Serverless analytics on DuckDB |
Timescale's strongest pricing advantage is the combination of a free self-hosted option (TimescaleDB) with an affordable managed cloud path. Compared to InfluxDB's $250/mo cloud entry point, Timescale's $29/mo starting price is significantly more accessible for small teams. MotherDuck offers a lower Pro tier at $25/mo but serves a different use case (analytical queries rather than continuous time-series ingestion). Neo4j's AuraDB Professional at $65/mo targets graph workloads entirely, so the comparison is relevant only for teams evaluating broader database strategies. For pure time-series work, Timescale delivers the best value at entry-level pricing while scaling cost-effectively through compression and tiered storage.