Updated for 2025–2026 · Guide
The DBaaS landscape,without the marketing fluff.
A friendly, opinionated guide to managed databases — comparing AWS Aurora, GCP AlloyDB, Neon, Supabase, PlanetScale, Turso and the rest. Real pricing, honest tiers, and a decision matrix that picks the right one for your project.
Last verified April 12, 2026·Covers 12 providers·Read time ~8 min·Maintained by DBaaS.dev
— What's changing
Four shifts shaping managed Postgres in 2026
If you're picking a database this year, these are the trends that should actually affect your decision.
#1 / Trend
Postgres won
Standardization around the PG wire protocol keeps growing — most new DBaaS launches now speak Postgres.
#2 / Trend
Vector search by default
Native vector support has shifted from a nice-to-have to a tier-1 requirement for any app shipping RAG features.
pgvector
on 9 of 11 providers
#3 / Trend
Cold starts are over
Edge caches and pre-warmed pools have brought serverless Postgres cold starts under the 20 ms mark.
#4 / Trend
Consolidation hits
Independent DBaaS shops are pivoting toward bundled 'integrated data platforms' — fewer pure-play options.
— Provider tiers
Three groups, depending on who you are
Hyperscalers, specialists, and edge-first newcomers. Each tier solves a different problem — and bills differently.
Tier 1 // Hyperscale
The enterprise crowd
Mission-critical, high-compliance workloads where you negotiate the bill instead of reading it.
- AWS Aurora Serverless
- GCP AlloyDB
- Azure Cosmos DB
SLA up to 99.999%VPCHIPAASOC 2
Tier 2 // Specialized
The DX-first specialists
Built for developer productivity — branching, instant provisioning, and pricing that scales with usage.
- Neon PostgreSQL
- Supabase Cloud
- PlanetScale
Serverless / AutoBranchingPay-as-you-go
Tier 3 // Edge & Niche
The edge crowd
Low-latency, globally-distributed data for apps where every millisecond counts and reads happen everywhere.
- Turso (LibSQL)
- Cloudflare D1
- Upstash Redis
Geo-distributed<20ms RTTRead replicas everywhere
— Pricing in plain numbers
What you'll actually pay each month
Two ledgers, two shapes of pricing. Hyperscalers price by instance; specialists price by usage. Numbers verified against vendor pages.
Table 1 — Enterprise & Hyperscale · Fixed instanceUptime SLA: 99.999%
| Provider | Compute instance | Storage / GB | Base / month |
|---|
| ☁️AWS Aurora | db.r6g.large · 16 GB | $0.10 | $244.12 |
| 🔵GCP AlloyDB | High-Mem · 16 vCPU | $0.30 | $512.48 |
| 🌐Azure Cosmos | Autoscale · 4k RU/s | $0.25 | $185.00 |
Table 2 — Growth & Specialist · Usage basedScale logic: serverless / burst
| Provider | Unit metric | Max throughput | Avg / month |
|---|
| ⚡Neon Tech | CU-Hours · $0.16 | Unlimited autoscale | $45.00 |
| 🟢Supabase Pro | Fixed + usage | 8 GB RAM ceiling | $25.00+ |
| 🪐PlanetScale | Rows read / written | Global cluster | $39.00 |
— Decision matrix
Pick a database based on what you actually need
Four common constraints, four honest picks. If two apply to you, choose the tighter one — it's almost always the right call.
Latency priority
Turso or Cloudflare D1
Sub-50ms global RTT. Replicas sit at the edge, reads never leave the region.
Compliance required
AWS RDS or Supabase Enterprise
Dedicated VPC, HIPAA BAA, SOC 2 Type II. Audit logs included.
Rapid iteration
Neon
Branching lets you snapshot prod, test migrations, and roll back in seconds.
Petabyte scale
BigQuery or Snowflake
OLAP workloads at this volume belong in a warehouse, not an OLTP DBaaS.
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