Neon
Neon is serverless Postgres with instant branching, autoscaling, and a full backend agents can provision.
If your team branches databases the way it branches code, or you're wiring agents to real infrastructure, Neon is the default pick — one project covers Postgres, auth, storage, functions, a live-query beta, and one key for frontier models. Pass if you need steady sub-10ms writes on always-on traffic or on-prem deployment. Supabase is still the closer call for teams that want a GUI-heavy suite rather than a backend defined in code.
Verified 22h ago · liveness 80/100 · cite: rightaichoice.com/tools/neon
- Serverless app teams that want Postgres without provisioning or capacity planning
- Developers who want a branch per pull request for schema changes and preview environments
- Multi-tenant SaaS that needs an isolated database copy per tenant
- AI agent builders who want retrieval, auth, live queries, and functions next to the data
- Sustained write-heavy workloads that can't absorb a cold start after scale-to-zero
- Teams that require on-premises or self-hosted deployment — Neon is cloud-only
- Buyers who want a GUI-heavy Postgres dashboard rather than infrastructure defined in code
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Skip Neon if you need consistent sub-10ms write latency on always-on workloads, or if you require on-premises or GovCloud deployment rather than a cloud-only serverless platform.
Branches beyond the included 10 per project cost $0.002 per branch-hour on Launch and Scale, so long-lived preview branches accumulate charges.
Neon fits startups and mid-size teams that want Postgres without provisioning: the Free tier is a genuine $0/mo sandbox with 100 projects, and Launch is usage-based with a typical spend of $15/mo. Heavier production teams move to Scale at a typical $701/mo, which is where SLAs, HIPAA, and private networking unlock. Against self-managed RDS or AlloyDB you avoid instance sizing and pay per CU-hour; against Supabase or PlanetScale, Neon's differentiator is branchable everything rather than GUI
In short
Neon — Neon is serverless Postgres with instant branching, autoscaling, and a full backend agents can provision. Best for Serverless app teams that want Postgres without provisioning or capacity planning, Developers who want a branch per pull request for schema changes and preview environments, Multi-tenant SaaS that needs an isolated database copy per tenant. Free to start; paid plans from $15/mo.
What's new in Neon
Checked yesterdayAcross the latest 2 updates: 2 feature updates.
Neon AI Gateway adds 11 models from Anthropic, OpenAI, Google and xAI
AI Gateway adds 11 models including claude-sonnet-5-5, gpt-6-sol, gemini-3-7-flash, grok-4-7 and open-weight deepseek-v4-1-flash. One OpenAI-compatible endpoint and credential.
Neon Realtime enters public beta
Realtime turns any SQL query into a live query with no polling or refetch. Runs on Lakebase Postgres, supports scale to zero and branching. Beta in 4 AWS regions.
What people actually say about Neon — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
28 mentions across 6 sources (Hacker News, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy), 60 more we could not attribute · researched Oct 16, 2026.
Weighted by the 88 posts each of 6 sources contributed.
- +Copy-on-write branching gives every PR, preview, and agent session an isolated full backend
- +Scale-to-zero and autoscaling monitored ten times per second, even on the Free plan
- +September 2026 GA bundles object storage, Managed Better Auth, Node functions, and an AI Gateway
- +MCP, CLI, and SDK access let Cursor, Claude Code, and Codex provision backends without leaving the editor
- +Branches and object storage release Neon lock-in concerns for teams already all-in on Postgres
- −Cloud-only with no self-host option — dead on arrival for air-gapped or strict data-residency teams
- −Cold starts on idle workloads; scale-to-zero is a feature and a latency tax
- −Storage-layer bugs in October 2026 (GCS list_streaming, SQL-over-HTTP empty arrays) sat open with no comments
- −The tradeoff against Supabase is a narrower GUI and less hand-holding for beginners
- −575 open GitHub issues against 23,210 stars signals a triage backlog users will eventually hit
- • Cold-start wake-ups on scaled-to-zero compute effectively bill you in user-perceived latency
- • Object storage and AI Gateway token usage ride on top of compute and storage line items
- • Data API and Functions add small per-request costs that aren't obvious from the headline free tier
Viability Score
How well maintained and how widely used is Neon? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Lakebase Postgres serverless database with storage and compute separated
- Autoscaling of CPU and memory, monitored ten times per second
- Instant database branching with copy-on-write, plus ephemeral branches that auto-delete
- Realtime Live SQL that turns any query into a reactive query with no polling (Beta)
- Branchable S3-compatible Object Storage that versions alongside the project
- Managed Better Auth: sign-up, OAuth, and sessions stored in the neon_auth schema
- Long-running Node.js Functions deployed next to the database, with custom domains
- Function triggers on UTC cron schedules and object-created events
- AI Gateway: one OpenAI-compatible key for frontier and open-source models at provider prices
- AI Gateway catalog including claude-sonnet-5-5, gpt-6-sol, gemini-3-7-flash, grok-4-7
- AI Gateway embeddings endpoint serving 1024-dim vectors, billed on input tokens
- Data API: instant HTTPS REST endpoints over Postgres tables
- Lakebase Search for vector, keyword, and hybrid search on Postgres 16+
- Point-in-time restore with up to 30-day history window on Scale
- High availability on multi-AZ storage by default, with read replicas at no added storage cost
About Neon
Neon is a serverless Postgres platform from Databricks that now bills itself as a complete backend for apps and agents. The core is Lakebase Postgres, which separates storage from compute so instances autoscale to fit load, scale to zero when idle, and restore large databases in seconds. Copy-on-write branching gives every pull request, preview environment, or agent session its own isolated copy of the whole backend — not just a schema snapshot. The September 2026 release pulled more pieces under one roof. A Free tier now bundles 100 projects with Managed Better Auth, 5 GB of branchable S3-compatible Object Storage, Functions running Node.js next to the data, and an AI Gateway that routes frontier and open-source models through one OpenAI-compatible credential at provider rates. Realtime entered public beta in October 2026, turning any SQL query into a live query with no polling, and it still supports scale-to-zero and branching. A Data API exposes instant HTTPS REST endpoints over your tables, and Lakebase Search adds vector, keyword, and hybrid search on Postgres 16+. The audience splits three ways: serverless app teams who would rather not provision Postgres, multi-tenant SaaS that wants a database per tenant, and agent builders who need retrieval, auth, and compute sitting next to the data. Coding agents drive all of it through MCP, CLI, and SDK access, and `npx neon init` gets a project started from the terminal. Against Supabase, Neon trades a broad GUI for branching depth and a Databricks-backed AI roadmap. Against RDS or AlloyDB, it trades a traditional control plane for scale-to-zero and instant clones. The honest caveat: cloud-only, and idle workloads pay a cold start after scale-to-zero kicks in.
Behind the Verdict
Reach for Neon when your database is the thing slowing the team down. The branching model is the real reason to switch: an agent or a pull request gets a disposable copy of the whole backend, auth tables and object storage included, and it disappears when the branch does. That single property changes how preview environments and multi-tenant SaaS get built. Where it bites is steady, write-heavy traffic. Scale-to-zero is a gift for dev and bursty production; it's a tax on a service that never idles, because the first query after a quiet spell eats the cold start. If you're running a constantly busy API, compare your monthly bill against a fixed-provisioned RDS instance before committing. The second trap is consumption billing. Launch at a typical $15/mo and Scale at a typical $701/mo are illustrative, not caps — a runaway agent session or a noise branch can move the number. Set spending alerts and branch-hour limits before you hand agents the keys. Versus Supabase, the split is philosophical. Supabase hands you a dashboard, storage, and edge functions behind a familiar GUI; Neon hands you a neon.ts file, deeper branching, and a Databricks-backed roadmap where Lakebase Search and the AI Gateway sit one hop from your data. Teams whose operators are also their developers tend to prefer Neon. Teams whose support rotation is non-engineers tend to prefer Supabase. Versus RDS or AlloyDB, you're trading a battle-tested control plane for instant clones and scale-to-zero. For a greenfield serverless app or an agent platform, that trade is usually worth it. For a regulated workload that needs private networking plus HIPAA on day one, budget for Scale — those features don't come on Free. The Realtime beta (four AWS regions as of October 2026) is promising but young; don't
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Real-world workflow fit
Concrete scenarios for the personas Neon actually fits — and what changes day-one when you adopt it.
Run npx neon@latest init to link a project and write DATABASE_URL to .env, then deploy a Next.js app where schema changes land as branches off production.
Outcome: A working serverless Postgres backend on the Free tier, with preview branches per pull request and no instance provisioning to manage.
Use copy-on-write branching and the config in neon.ts to create an isolated database per tenant, then apply changes with neon deploy across environments.
Outcome: Per-tenant isolation without shared-schema risk, and schema rollouts that can be tested on a branch before production.
Install neon skills into Cursor or Claude Code so the assistant can provision Lakebase Postgres, Managed Better Auth, Object Storage, and Functions, and call frontier models through the AI Gateway with one credential.
Outcome: Retrieval via Lakebase Search, auth in the neon_auth schema, and scheduled or file-triggered Functions running next to the data, all from one project.
Use Cases
- Ship a serverless app backend that autoscales with traffic and scales to zero when idle
- Give every pull request, preview, or agent session a full isolated copy of the backend
- Multi-tenant SaaS with database-per-tenant isolation via branching
- AI agent retrieval using Lakebase Search vector and hybrid queries instead of a separate vector store
- Route frontier and open-weight model calls through one AI Gateway credential at provider prices
- Run scheduled or file-triggered jobs with Neon Functions triggered by cron or object creation
- Restore and replicate large databases in seconds instead of hours
- Stand up a complete backend with auth, storage, functions, and data API from one neon.ts file
Models Under the Hood
as of 2026-10-16
Limitations
- Neon is a serverless Postgres and backend platform, not a conversational AI assistant; its AI role is the AI Gateway, providing one credential for frontier and open-weight models at provider prices with no markup.
- The changelog names Claude Opus 5.5 (claude-opus-5-5) plus embedding models qwen3-embedding-0-6b and gte-large-en, and states the catalog includes models from OpenAI, Anthropic, Google, Meta, and Moonshot AI — but it does not name specific underlying model versions for most of those providers.
- Pricing is usage-based for compute and storage, so forecasts depend on your load: Launch lists $0.106 per CU-hr and Scale $0.222 per CU-hr, with storage at $0.35 per GB-month on both.
- The AI Gateway is only available on the paid Launch and Scale plans, and frontier models require prepaid credits.
as of 2026-09-29
Verification history
We have re-verified Neon 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Neon tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers and students learning Postgres or prototyping a serverless app, with 100 projects and no time limit or credit card required.
What this tier adds
Starting tier at $0/mo: 100 CU-hrs monthly per project, 0.5 GB storage, sizes up to 2 CU, plus beta Object Storage, Functions, and AI Gateway.
Launch
Usage-based, typical $15/mo
Ideal for
Small teams taking an app to production with intermittent load, since Neon's typical spend example is about $15/mo on 1 GB.
What this tier adds
Adds usage-based compute at $0.106 per CU-hr, sizes up to 16 CU (64 GB RAM), 100 projects, and 3-day metrics and logs in the UI.
Scale
Usage-based, typical $701/mo
Ideal for
Production teams running high load or regulated workloads that need SLAs, HIPAA, and private networking, with a typical spend example near $701/mo.
What this tier adds
Raises compute to $0.222 per CU-hr, sizes up to 56 CU (224 GB RAM), 1,000+ projects, 25 branches, and 14 days of metrics and logs.
Where the pricing makes sense
The company stage and team size where Neon's pricing actually pencils out — and where peers do it cheaper.
Neon fits startups and mid-size teams that want Postgres without provisioning: the Free tier is a genuine $0/mo sandbox with 100 projects, and Launch is usage-based with a typical spend of $15/mo. Heavier production teams move to Scale at a typical $701/mo, which is where SLAs, HIPAA, and private networking unlock. Against self-managed RDS or AlloyDB you avoid instance sizing and pay per CU-hour; against Supabase or PlanetScale, Neon's differentiator is branchable everything rather than GUI
Setup time & first value
How long it actually takes to get something useful out of Neon — broken out by persona, not the marketing-page minute.
A solo developer gets to first value in about five minutes with npx neon@latest init, which links a project and writes DATABASE_URL to your .env. The guided full-backend quickstart (Postgres, Auth, Object Storage, AI Gateway) takes roughly ten minutes, and the tour of the Neon backend takes about fifteen. Teams wiring agent skills into Cursor, Claude Code, or Codex add a few minutes per editor,
Switching to or from Neon
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Supabase: use Neon's dedicated Supabase migration guide, and the Data API is described as drop-in compatible with Supabase.
- →From RDS or AlloyDB: follow the Neon migration guides with pg_dump/pg_restore or pgcopydb, or use AWS DMS for larger moves.
- →From PlanetScale, Turso, or SQLite: Neon publishes migration guides for each, including schema-only options.
- →From Heroku, Firebase, Railway, or Render: Neon has per-source migration guides for Postgres-backed apps.
- →From another Neon region: use the Neon-to-anywhere logical replication and region migration guides.
- ↗To another Postgres host: use Neon's Postgres-compatible export and logical replication paths to move data out.
- ↗To Lakebase Postgres on Databricks: Neon documents a Postgres-compatible export route for moving onto the Databricks platform.
- ↗To CSV or flat files: the migration docs list CSV export for sample data and one-off extracts.
- ↗From Neon to Neon across regions: use the region migration guide to move a project without changing engines.
Integrations
Resources & Guides
- Documentationneon.tech
Docs · Neon
Full product docs from neon.tech
- Documentationneon.tech
Setting Up A Project · Neon
Full product docs from neon.tech
- Guideneon.tech
Nextjs · Neon
In-depth how-to from neon.tech
- Documentationneon.tech
Import From Supabase · Neon
Full product docs from neon.tech
- Documentationneon.tech
Migrate From Rds · Neon
Full product docs from neon.tech
- Documentationneon.tech
Changelog · Neon
Full product docs from neon.tech
- Documentationneon.tech
Introduction · Neon
Full product docs from neon.tech
- API Referenceneon.tech
Api Reference · Neon
Methods, params, types from neon.tech
Tutorials & Learning
YouTube returned 6 videos for “Neon”, and we withheld 6: 6 could not be judged, because “Neon” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Neon.
Official links
Tools that pair well with Neon
Common stack mates teams adopt alongside Neon, with the specific reason each pairing earns its keep.
Amazon Sage Maker
Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.
RAGFlow
Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.
Maxim AI
Maxim AI evaluates, simulates and observes AI agents — with Bifrost, its open-source LLM gateway, handling routing, budgets and guardrails.
Featured Head-to-Head Comparisons
Neon vs Screenplayiq
These two tools don't belong in the same buying conversation — Neon is infrastructure for developers building serverless apps and AI agents, and ScreenplayIQ is a per-script analysis service for film and TV professionals. If you're shipping a Postgres-backed product, buy Neon. If you've got a stack of scripts to triage or a draft to evaluate before a rewrite, buy ScreenplayIQ. There is no overlap to arbitrate.
Neon vs Spider Cloud
These are not competitors — picking one does not preclude the other, and most buyers evaluating them have different problems. If you are building a serverless app, multi-tenant SaaS, or an agent backend and need autoscaling Postgres with branching, auth, object storage, and functions in one deploy (the neon.ts + neon deploy flow), Neon is the shortlist pick. If you need live web pages rendered and returned as markdown or structured JSON for a RAG pipeline or crawling agent, Spider Cloud is the shortlist pick. A team building agents could legitimately use both: Neon as the data/backend layer, Spider Cloud as the web-access layer. Choose by the problem, not against each other.
Neon vs Push Security
These aren't competitors — you'd never pick one over the other. Push Security is a $5/user/month browser extension that stops AiTM, ClickFix, device-code, and consent phishing and inventories shadow AI usage for security and identity teams under 500 seats. Neon is a serverless Postgres platform for developers who want autoscaling, copy-on-write branching, and a fuller backend (object storage, Functions, AI Gateway, Data API). If you're a security lead, price Push Security; if you're shipping an app, price Neon. Buying both is a normal outcome, not a trade-off.
Lyra Health vs Neon
Neon and Lyra Health serve entirely different markets. Choose Neon if you are a developer building serverless applications that need scalable Postgres with branching and AI/vector features. Choose Lyra Health if you are an employer or benefits leader seeking a comprehensive, AI-enhanced mental health platform with proven ROI and fast access to therapy and coaching. They are not direct competitors.
Neon vs Phoenix
Neon is a serverless Postgres platform for app builders who need auto-scaling, branching, and AI backend primitives. Phoenix is an open-source observability tool for AI agent debugging and evaluation. They are complementary: Neon provides the data layer, Phoenix provides the monitoring layer. Choose Neon if you need scalable Postgres with branching; choose Phoenix if you need to trace and evaluate AI agent behavior.
Alternatives to Neon
View all
Amazon Sage Maker
Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.
Frequently Asked Questions
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