TigerData vs Upstash
A detailed comparison to help you choose between TigerData and Upstash.
Quick Verdict
4.2/5
TigerData
0 reviews
4.2/5
Upstash
0 reviews
Both TigerData and Upstash are equally rated at 4.2/5. TigerData, from the creators of TimescaleDB, is a PostgreSQL cloud platform built for time-series and real-time analytics workloads at large scale, aimed at developers and enterprises. Free tier includes 500,000 commands per month with 250 MB data (10,000 commands/sec is the throughput ceiling).
TigerData PostgreSQL-native time-series database for metrics, events, and analytics | Upstash Serverless Redis, Kafka, QStash — per-request pricing | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (0 reviews) | 4.2 (0 reviews) |
| Pricing model | freemium | freemium |
| Starting price | From $30/mo | Free tier available✓ |
| Best for | Teams building observability, IoT/telemetry, financial or real-time analytics platforms who want time-series performance inside standard PostgreSQL and can run the ops model of a managed Postgres service. | Serverless and edge developers needing caching, rate limiting, queues and agent state without running Redis |
| Specifications (entry plan) | ||
| CPU cores | — | — |
| RAM | — | — |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | 99.9% | — |
| Data-center count | 17 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | 13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America | — |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tierapi access |
| Visit TigerData → | Visit Upstash → | |
TigerData
Pros
- + Full SQL and the PostgreSQL extension ecosystem — hypertables, continuous aggregates and 90%+ compression without a new query language
- + Published consumption pricing (compute from $30/month, storage $0.177-0.212/GB-month) with hourly metering and no instance-size lock-in
- + 17 regions across AWS and Azure with EU, US and APAC residency selectable at creation
- + Reliability productized: multi-AZ HA, PITR up to 14 days, backup retention to 180 days, cross-region restore, public SLA and status page
- + Open-source TimescaleDB escape hatch — self-hosting stays viable, which keeps pricing honest
Cons
- - Hourly compute meter bills full hours and forgotten scale-ups at the higher config are expensive
- - Serious reliability and security features (multi-node HA, 14-day PITR, SOC 2, private endpoints) gated behind Scale or Enterprise
- - PostgreSQL and time-series concepts (chunks, compression/retention policies) assumed — not a zero-ops database for non-database teams
- - Effective storage price assumes 5x compression; actual ratios are workload-dependent
- - Aiven-partnered legacy MST product carries a different (99.99%) SLA — easy to confuse with Tiger Cloud
Upstash
Pros
- + Genuine free tier: 500K commands/month, 250 MB, no credit card — one of four providers offering that in 2026
- + Per-request pricing fits serverless perfectly: idle costs nothing, HTTP access avoids connection pooling
- + Transparent pricing with published crossover math; per-database budgets rate-limit instead of overbilling
- + Global replication across 14 AWS regions (EU, US, APAC, SA, ZA) with reads from the nearest replica
- + Broad platform beyond Redis: Vector, Search, QStash, Workflow, Box and S3-compatible Blob, each with a free tier
Cons
- - Redis-compatible, not full Redis — validate command semantics before migrating
- - 10,000 commands/sec per database ceiling; sharding across DBs is on you beyond that
- - No public SLA with credits found; availability is a status page, not a contract
- - Backups appear tied to the Prod Pack add-on (+$200/mo per database); base plans leave recovery to you
- - Per-replica command counting doubles write costs on global databases; incident retry storms inflate bills
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