~/rivestack $ supabase-alternative_
The Supabase alternative
when all you need is Postgres.
// If your Supabase bill keeps climbing and you mostly use the database, you are paying a platform tax. Rivestack is dedicated NVMe PostgreSQL with pgvector tuned out of the box, one flat price from $29/month, no compute add-ons, no egress metering. Migration help is free.
# by the numbers
- 65%+
- lower cost vs Supabase at the same compute
- $29/mo
- dedicated NVMe Postgres, fixed price
- < 4ms
- p50 vector search latency
- EU
- Hosted in Europe · GDPR-ready
// Measured, not marketed. Every benchmark is reproducible with pgvector-bench against your own database.
# why teams switch from supabase
The three complaints we hear most, and what changes when you move.
The bill stops climbing
Supabase Pro starts at $25, but real workloads add compute upgrades, storage, egress, and memory for vector indexes, and the invoice grows line by line. Rivestack is one flat price per node: $29/mo Solo or $35+/mo HA. The bill on day 30 matches the quote on day 1.
Supabase alternatives compared →Dedicated NVMe, on local NVMe
Your database runs on its own VM with local NVMe, not a slice of shared infrastructure on cloud block storage. That is the difference that decides tail latency on vector search and heavy index scans.
NVMe vs cloud SSD benchmarks →pgvector tuned for production
pgvector comes pre-installed and tuned for HNSW workloads: recall@10 0.90+ at low-single-digit-ms p50 on 250k × 1536 vectors, which is ~1,600 QPS at 16 clients on a Starter node (2 vCPU / 4 GB), and ~4,465 QPS on a Scale node that also holds a 1M × 1536 index hot. If you are paying for Supabase compute mostly to keep a vector index in memory, this is the cheaper way to do it.
Managed pgvector →# rivestack vs supabase
An honest comparison: they are different tools for different jobs.
| Rivestack | Supabase | |
|---|---|---|
| What it is | Managed Postgres + pgvector, nothing else | Full app platform (auth, storage, realtime, functions) |
| Compute | Dedicated VM per database | Shared or dedicated, sized by add-on tier |
| Storage | Local NVMe | Cloud block storage |
| Pricing model | $29/mo flat · HA from $35/node | $25/mo + compute, storage, and egress add-ons |
| Egress fees | None | Metered beyond included quota |
| pgvector | Pre-installed + tuned (HNSW) | Extension included, tuning on you |
| Backups + PITR | Included (7 to 14 day retention) | PITR is a paid add-on |
| Data residency | EU by default (US-East optional) | Region selection at project creation |
| Best fit | Postgres + vector workloads on a budget | Apps that use the whole platform |
// Supabase is an excellent platform with a much broader feature set: auth, storage, edge functions, realtime. If your app depends on those, stay. Rivestack is the focused choice for teams who want managed Postgres + pgvector without paying for the rest of the platform.
# migrating from supabase
It is standard Postgres on both ends, and we help, free.
01
Send us your workload
Row counts, vector dimensions, and your current Supabase plan. We reply within ~48 hours with a plan recommendation, expected QPS and latency, and a side-by-side cost comparison. If Rivestack is not a better fit, we say so in the same reply.
02
Migrate with standard Postgres tools
Supabase is Postgres, so pg_dump / pg_restore moves smaller databases in minutes. For always-on production we set up logical replication and cut over with under a minute of write downtime, so your read traffic stays online.
03
Point your connection string at us
Standard PostgreSQL over SSL on port 5432. Your driver, ORM, and queries work unchanged. If you used Supabase only as a database, nothing else in your app needs to change.
// Want the full white-glove version? See the Switch offer. We plan and run the migration with you, or email rescue@rivestack.io with your workload for a free review.
# flat pricing, no add-ons
One price per node. No compute add-ons, no egress, no surprises.
Free
$0/month
Shared PostgreSQL with pgvector for development and testing.
- +Shared CPU · 2 GB storage
- +pgvector enabled
- +5 connections
- +SSL encrypted
Solo // popular
$29/month
Your own single-tenant VM for small production apps. Never deleted.
- +1 vCPU · 2 GB RAM
- +30 GB NVMe storage
- +Daily backups + 7d PITR
- +Up to 100 connections
- +Never deleted
Starter
$49/node/month
Production dedicated PostgreSQL with HA-ready architecture.
- +2 vCPU · 4 GB RAM per node
- +55 GB NVMe storage
- +HA-ready (Patroni failover)
- +Daily backups + 14d PITR
- +Monitoring dashboard
Growth
$85/node/month
More compute and storage for larger workloads.
- +4 vCPU · 8 GB RAM per node
- +135 GB NVMe storage
- +Automatic failover (2+ nodes)
- +Priority support
Scale
$159/node/month
High-performance dedicated PostgreSQL for demanding workloads.
- +8 vCPU · 16 GB RAM per node
- +295 GB NVMe storage
- +Custom PostgreSQL config
- +Priority support
# supabase alternative faq
What teams ask before moving off Supabase.
The most common reasons we hear: the bill grew unpredictably as compute add-ons, storage, and egress stacked up; vector workloads needed expensive compute upgrades just to keep indexes in memory; or the team only used the database and paid for a platform. If any of those sound familiar, a focused managed Postgres is usually cheaper and faster.
Almost always, for database-centric workloads. A Supabase compute add-on comparable to our Solo VM runs around $105/month; Solo is $29/month on dedicated NVMe. At the same compute size we typically come out 65%+ cheaper, with no egress or storage line items. Send us your row counts and current plan and we will give you a realistic number for your workload, not a marketing number.
Supabase is an excellent platform with a broad feature set: auth, file storage, edge functions, realtime subscriptions, and auto-generated APIs. Rivestack does none of that. It is managed PostgreSQL with pgvector, done well. If your app depends on Supabase Auth or Realtime, keep them (or replace them first). If you use Supabase as a Postgres database, you give up nothing.
Supabase is standard Postgres, which makes this one of the easiest migrations in infrastructure. pg_dump / pg_restore handles most databases in minutes; for larger always-on systems we use logical replication and a sub-minute cutover. Migration help is included free: we will plan it with you and sit in the cutover if you want us to.
Yes, and usually faster. pgvector is pre-installed and tuned, and your indexes run on local NVMe instead of cloud block storage. We measure recall@10 0.90+ at ~2 ms single-client p50 on 250k × 1536 vectors, which is ~1,600 QPS at 16 clients on a Starter node (2 vCPU / 4 GB; full tables at /pgvector-benchmarks-measured), and ~4,465 QPS on a Scale node that also holds a 1M × 1536 index hot, from a same-region app. Your existing pgvector schema, indexes, and queries move over unchanged with your data.
Your data is encrypted in transit and at rest, backed up daily to separate S3-compatible storage with point-in-time recovery, and HA clusters run Patroni-managed automatic failover. And because everything is vanilla PostgreSQL, you can pg_dump your entire database and leave at any moment, and no lock-in is the strongest guarantee we can offer.
You choose EU Central (Falkenstein, Germany) or US East (Virginia). EU databases and their backups never leave the EU, and we are an EU company, so DPAs are available on request. For European teams this is often simpler than configuring residency on a US-based platform.
Yes. The free tier gives you a Postgres database with pgvector in about a minute, no credit card. Load a sample of your data, run your real queries, and compare latency before you commit to anything.
# keep reading
More on comparing and migrating managed Postgres.
Best Supabase alternatives for PostgreSQL
How Rivestack, Neon, RDS, Aiven, and others compare for managed Postgres in 2026.
$ read guide →pgvector on NVMe vs cloud SSD
Benchmarks showing why storage decides vector search tail latency.
$ read guide →The Switch offer
We plan and run your migration with you, free, for the first 25 teams.
$ read guide →// Comparing other providers? See the Neon alternative and Pinecone alternative pages, or the full managed PostgreSQL overview.