Supabase vs TigerData
A detailed comparison to help you choose between Supabase and TigerData.
Quick Verdict
4.0/5
Supabase
0 reviews
4.2/5
TigerData
0 reviews
TigerData is rated higher (4.2 vs 4.0). Supabase is a backend-as-a-service platform providing PostgreSQL databases, real-time subscriptions, authentication, and storage. Built for developers who want PostgreSQL's power without vendor lock-in. 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.
Supabase Open-source Firebase alternative with PostgreSQL | TigerData PostgreSQL-native time-series database for metrics, events, and analytics | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews) | 4.2 (0 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available✓ | From $30/mo |
| Best for | Teams building web and mobile apps who want a relational backend — Postgres with auth, storage, realtime, and APIs — without operating infrastructure, and who value an open-source exit path. | 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. |
| Specifications (entry plan) | ||
| CPU cores | — | — |
| RAM | 1 GB | — |
| Storage | 1 GB | — |
| Bandwidth | — | — |
| SLA uptime | 99.9% | 99.9% |
| Data-center count | 17 | 17 |
| €/GB RAM/mo | €0.00 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | United States, Canada, Ireland, United Kingdom, France, Germany, Switzerland, Sweden, Brazil, India, Singapore, Japan, South Korea, Australia | 13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America |
| Tags | ||
| Tags | free tiermanaged options3 compatibleeu datacenterus datacenterapac datacenterapi accessopen source | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source |
| Visit Supabase → | Visit TigerData → | |
Supabase
Pros
- + Real PostgreSQL with SQL, extensions, migrations, and row-level security — no schema lock-in
- + Generous free tier: 50,000 MAU, 500MB database, unlimited API requests
- + Bundled auth, realtime, S3-compatible storage, APIs, and edge functions on one platform
- + Open source with a documented self-host path — a genuine exit if the managed service stops fitting
- + Transparent, detailed pricing page and 17 AWS regions to place data close to users
Cons
- - Bills grow legs: per-project compute, usage overages, and add-ons (PITR $100/mo per 7 days) stack up
- - Uptime SLA (99.9%) is Enterprise-only; support SLAs need the $599/mo Team plan
- - Free projects pause after a week of inactivity and skip automatic backups
- - Auth, realtime, storage, and functions layers are Supabase-specific to migrate away from
- - Scaling to high concurrency means moving to dedicated compute instances with sharp price steps
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
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