11 Best Neon Alternatives for Managed Postgres (Reviewed)

The best Neon alternative is the one that fixes why you are leaving. That might be a usage bill that climbs with traffic, only two Asia regions to choose from, or cold starts on a database that fell asleep. If your users are in Asia or the Middle East, Nearbase runs managed Postgres in-region at a flat monthly price. Ten more options follow.

Neon made serverless Postgres genuinely good. The database branches like Git, scales to zero when it is idle, and starts on a free plan. The friction shows up later, once the workload settles into something steady. An always-on production database never gets to sleep, so Neon’s per-hour compute meter runs around the clock and the bill moves with your traffic.

Cost is only part of it. Neon runs in two Asia-Pacific regions, Singapore and Sydney, and nowhere else in Asia or the Middle East. Its Azure regions are being retired, so that option is closing too. And after Databricks acquired Neon in 2025, some teams are watching where the roadmap points next.

If your users are in Jakarta or Manila, they feel the distance on every query. If you have to keep a Singapore fintech’s data on local soil, you need a region in the right country, not the nearest one. Both are leaving Neon, but for very different reasons.

TL;DR

The right pick depends on which Neon limit you hit. For users in Asia or the Middle East, Nearbase stands out: managed Postgres in local data centers Neon does not reach, at a flat monthly price. For the serverless developer experience, Supabase, PlanetScale, and Xata are the closest modern peers, and teams locked to a hyperscaler have Amazon RDS or Google Cloud SQL.

Tool	Best for	Key strength
Nearbase	Teams serving users in Asia and the Middle East	Regional data centers plus a flat, predictable price
Supabase	App teams who want the Neon-style experience plus a backend	Postgres with auth, storage, APIs, and branching
PlanetScale	Teams scaling past Neon on performance	High-performance Postgres with branching, no free tier
Xata	Teams that want Neon-style branching elsewhere	Copy-on-write data branching with scale-to-zero
Amazon RDS	Teams staying inside AWS	Mature managed Postgres, Aurora to scale further
Google Cloud SQL	Teams already on Google Cloud	Deep GCP integration, wide Asia regions
Aiven for PostgreSQL	Multi-cloud teams who want flat plans	One managed Postgres across several clouds
Crunchy Bridge	Postgres purists on a budget	Pure managed Postgres from a low flat price
DigitalOcean Managed Databases	Simple apps that want a flat bill	Predictable monthly cost, easy setup
Render	Teams hosting the app and database together	App platform with managed Postgres attached
Tiger Cloud (Timescale)	Time-series and analytics workloads	Postgres tuned for high-volume time-stamped data

What is Neon, and why look for alternatives?

Neon is a serverless PostgreSQL service that separates storage from compute, which lets it autoscale, scale compute to zero when idle, and offer Git-like database branching. You can spin up an isolated copy of a database for a pull request, then throw it away. For lean teams, preview environments, and AI apps that create many short-lived databases, the model is a strong fit, and Postgres itself is the reason. In the 2024 Stack Overflow Developer Survey, Postgres was the most-used database among professional developers, which is why nearly every alternative here is also managed Postgres.

Teams look past it once the workload outgrows that serverless model, when a steady, regional, or budget-friendly database matters more than scale-to-zero.

What to look for in a Neon alternative

Weigh the checks that match your situation, and skip the rest.

Does the bill hold still?

If Neon’s usage meter is the thing you are leaving, start here. Ask whether the provider quotes one monthly number per instance, or a rate that moves with usage. A flat plan trades some elasticity for a figure you can budget, which is the point of leaving a per-hour meter. If you go usage-based again, confirm there is a spending cap, since Neon’s model has no reserved-capacity rate to limit a spike.

Is there a region in your users’ country?

Neon gives you Singapore and Sydney in Asia, and nothing else in the region, so this check is where most regional teams get stuck. Open the provider’s real region list and look for the actual city, not a “global” badge. Tokyo, Seoul, Mumbai, Jakarta, and Dubai are all places a Neon user cannot reach today, so a provider that lists them is a genuine upgrade for that audience.

Can the data stay in one country?

If a regulator or a customer says the data must live in a specific country, that decides the shortlist before anything else. The data has to physically sit inside the country named, which is what in-country data residency means in practice. Neon’s two Asia regions and deprecated Azure regions rule it out across most of Asia and the Middle East. The only viable alternatives are the ones with a region in that exact country.

Does it stay warm, or scale to zero?

Neon’s cold start is a feature for idle databases and a tax on always-on ones. Decide which you have. If the app is latency-sensitive and runs all day, a database that stays warm by default removes the wake-up wait and the keepalive workarounds. If most of your databases are idle or short-lived, you may actually want to keep scale-to-zero, which is a reason to stay.

How much does it manage for you?

“Managed” ranges from backups-and-patching to a full operations layer. Check what each plan includes versus charges extra: high availability and failover, read replicas, point-in-time recovery, and connection pooling. A cheap headline plan that makes you bolt on high availability later is not actually cheap.

Is it plain Postgres, and do you need the branching?

Neon runs standard PostgreSQL, so any standard-Postgres provider takes your schema, queries, and drivers without a rewrite. The one thing that does not always travel is Neon’s developer workflow. If branch-per-pull-request or instant preview databases are central to how you ship, only a few providers match it, so weight that feature heavily. If you just want the database, almost everything here qualifies.

11 best Neon alternatives

Every option below is a live, managed PostgreSQL or Postgres-compatible service. The prices are entry-level and vary by region, so treat them as a starting point rather than a quote.

A few names sit just outside this list. Railway and Northflank lead with app and container hosting and attach a database, and Turso is built on libSQL rather than Postgres. All worth a look if that model fits. These eleven are the ones whose core product is managed Postgres.

1. Nearbase: managed Postgres inside Asian and Middle East data centers

Nearbase is a managed-Postgres service built for Asia and the Middle East that runs your database in local data centers across the region. That includes cities Neon does not reach at all, such as Jakarta, Manila, Tokyo, Seoul, and Dubai. It charges a flat monthly price, with no per-query or in-region egress meters running in the background. For a team leaving Neon over an unpredictable bill or a missing region, those are the two things Nearbase changes first.

Regions / locations

The footprint covers ten regions. Nine are Asia and Middle East cities: Jakarta, Manila, Kuala Lumpur, Bangkok, Singapore, Hong Kong, Tokyo, Seoul, and Dubai, and Virginia covers North America. The Asia and Middle East list is the reason to look here. Neon stops at Singapore and Sydney, while Nearbase can put the instance in the same city as the people using your app.

Managed features

• The instance runs continuously, so there is no scale-to-zero cold start on the first query after a quiet spell, the trade Neon makes for idle savings
• In-country data residency in all nine Asia and Middle East cities, so regulated data can stay on local soil
• A sub-10ms latency target, by keeping the database in the same region as the users rather than a hop away
• Fully managed: Nearbase handles provisioning, backups, and routine maintenance, with a committed 99.99% uptime SLA
• General Purpose and Dedicated instances, from 1 vCPU and 2 GB up to 32 vCPU and 256 GB, on ESSD storage from 20 GB to 64 TB

Pricing model

Where Neon meters compute by the hour, Nearbase charges one flat monthly price per instance, with no per-query or in-region egress line items. An entry instance runs about $11 to $24 a month depending on the region, and that is the full cost, not a base rate before usage. For a team coming off a bill that swung with traffic, the predictability is the draw.

Best for

The fit is a team with users in Asia or the Middle East that wants the database in-region, data kept in-country, and a bill that does not move. It is a weaker fit if you specifically want scale-to-zero or database branching, which Nearbase does not offer, or if your users sit mostly in the US or Europe, where a provider with a bigger local footprint there will serve them better.

2. Supabase: Postgres with auth, storage, and APIs attached

Supabase is the closest like-for-like move from Neon for an app team. It is an open-source backend platform built on managed PostgreSQL, often called a Firebase alternative, and it now offers database branching of its own. On top of the database you get authentication, object storage, auto-generated APIs, realtime subscriptions, and vector search, which can replace several services at once.

Regions / locations

Supabase offers regions in Singapore, Tokyo, Seoul, Mumbai, and Sydney across Asia Pacific, plus North America and Europe. That is wider Asia coverage than Neon, though still hub-focused.

Managed features

• Database branching for preview environments, Supabase’s answer to the Neon workflow
• The database runs on a fixed compute size, so no cold starts, but no idle savings either
• Auto-generated REST and GraphQL APIs over your tables, plus built-in auth with row-level security
• S3-compatible object storage, realtime over WebSockets, and pgvector for AI search, none of which Neon bundles
• Open-source and self-hostable, which keeps lock-in low

Pricing model

Supabase keeps a free tier where the database pauses after about a week of inactivity. Its Pro plan starts at $25 a month and includes compute credits, with paid add-ons for more compute, storage, and backups. The fixed Pro base is more predictable than a pure usage meter, though the add-ons grow with the project.

Best for

App teams that want Postgres plus auth, storage, and APIs in one place, and the modern developer experience Neon trained them to expect. More than you need if you only want a plain managed database, and the compute add-ons are worth watching as a project grows.

3. PlanetScale: high-performance Postgres with branch-and-deploy

PlanetScale spent years as the managed MySQL platform teams reached for at scale, and it now runs Postgres too. Its pitch is raw performance: the Metal tier attaches NVMe storage directly to the database, and PlanetScale publishes benchmarks putting its Postgres ahead of Aurora, AlloyDB, and Neon. If you outgrew Neon on throughput, this is the one built for that.

Regions / locations

PlanetScale runs on AWS and GCP. Its AWS footprint reaches Tokyo, Mumbai, Singapore, and Sydney across Asia Pacific, alongside US and European regions, with more available on GCP. That is broader Asia coverage than Neon offers.

Managed features

• Postgres branches spun up from production backups, a deploy-style take on Neon’s branching
• No scale-to-zero: the database stays warm and is tuned for steady, high-throughput load
• A Metal tier with direct-attached NVMe storage, where PlanetScale benchmarks its Postgres ahead of Neon
• High availability as standard: one primary and two replicas across three availability zones, failover under 30 seconds
• Query Insights and traffic controls that surface slow queries and cap runaway load

Pricing model

PlanetScale has no free tier. A single-node Postgres instance starts at $5 a month, and a high-availability three-node setup starts around $15 a month, before storage, backups, and egress. The bill scales with the cluster size you pick.

Best for

Teams leaving Neon for more performance and headroom at scale that want a branch-based workflow without scale-to-zero. Less of a fit if you want a free tier or the lowest possible bill, since PlanetScale dropped its free plan and is priced for performance rather than for cost.

4. Xata: Neon-style branching with copy-on-write data

Xata is a dedicated Postgres platform built around the feature Neon users most often want to keep: branching. Its branches are copy-on-write, so a new branch is a full copy of the parent’s schema and data that only charges for what changes. Idle branches scale to zero, much like Neon. For a team that likes Neon’s workflow but wants a different vendor, Xata is the closest match.

Regions / locations

Xata Cloud runs in US regions (N. Virginia and Oregon) and Europe (Frankfurt), with a bring-your-own-cloud option for other locations. Like Neon, it has no Asia-Pacific region today, so an Asian team would need the bring-your-own-cloud route or a different provider.

Managed features

• Copy-on-write branching that duplicates schema and data without copying storage
• Scale-to-zero compute that suspends idle branches, with roughly one-second wake on the cloud plan
• Zero-downtime schema migrations
• PII anonymization for safer development branches
• Bring-your-own-cloud and on-premises deployment, with HIPAA options available

Pricing model

Xata offers a free, self-managed open-source edition, and a usage-based Xata Cloud plan that bills compute by the hour, from about $0.012 per compute-hour, plus storage per gigabyte. A bring-your-own-cloud tier is custom-priced.

Best for

Teams that came to Neon for branching and want that workflow on a different provider, especially if copy-on-write data branches or a self-hostable option matter. A weaker fit for an Asia-based team, since Xata has no regional presence there yet.

5. Amazon RDS: the production-standard managed Postgres

Amazon RDS for PostgreSQL is the mature, widely deployed managed Postgres many teams move to when a side project becomes a real product. It handles provisioning, patching, backups, and failover, and when you outgrow a single instance, Amazon Aurora is the PostgreSQL-compatible engine built to scale further. For a team already inside AWS, it is the lowest-friction destination because the tooling, identity, and networking are identical.

Regions / locations

RDS and Aurora run across AWS’s broad global footprint, including many Asia Pacific regions: Singapore, Mumbai, Tokyo, Osaka, Seoul, Hong Kong, Jakarta, Hyderabad, and Sydney, among others. The big hub cities are well covered; smaller regional ones are not.

Managed features

• A long production track record, the reassurance many teams want after Neon’s outages and growing pains
• No database branching, and standard RDS does not scale to zero; Aurora Serverless v2 is the AWS path that now can
• Multi-AZ high availability with automatic failover, plus automated backups, patching, and point-in-time recovery
• Read replicas, including cross-region, for scaling reads and locality
• Aurora as a PostgreSQL-compatible upgrade path when one instance runs out of room

Pricing model

RDS bills for compute, storage, provisioned IOPS, and backups separately, which is flexible but keeps the same forecasting work that pushes some teams off usage-based pricing in the first place. Aurora Serverless v2 starts at $0.12 per ACU-hour and can now scale down to zero capacity with auto-pause, before storage and I/O.

Best for

Teams committed to AWS that want a mature, deeply supported managed Postgres and a clear path to scale through Aurora. Skip it if escaping metered, hard-to-forecast bills was the whole reason you left Neon, since RDS keeps that model.

6. Google Cloud SQL: the native database for a GCP stack

Google Cloud SQL is the managed relational database built into Google Cloud, covering PostgreSQL, MySQL, and SQL Server. Its value shows up when the rest of your stack already runs on GCP, since it connects straight to BigQuery, GKE, and Google’s networking. When Cloud SQL is not enough, AlloyDB is Google’s higher-performance Postgres-compatible engine.

Regions / locations

Cloud SQL has a wide Asia footprint: Taiwan, Hong Kong, Tokyo, Osaka, Seoul, Mumbai, Delhi, Singapore, and Jakarta, plus the Americas, Europe, and the Middle East. AlloyDB covers a similar set, including Bangkok.

Managed features

• Far wider Asia coverage than Neon’s two regions, so users in more countries sit near the data
• A conventional always-on managed instance, without the branch-and-preview workflow
• Automated backups with point-in-time recovery, and regional high availability that fails over on its own
• Read replicas, including cross-region, to add read capacity and locality
• Enterprise and Enterprise Plus editions add private IP, encryption, and customer-managed keys

Pricing model

Cloud SQL bills per vCPU-hour, per GB of memory, and per GB of storage. A small shared-core instance starts around $8 a month before storage, with larger instances billed per vCPU and per GB on top. Steady workloads can take committed-use discounts, and Asia regions generally price above the US baseline.

Best for

This earns its place when GCP is already your platform and you want the database wired into it. Harder to justify off GCP, since the value is the integration and the metered model is the same shape you may be leaving.

7. Aiven for PostgreSQL: the same database on any cloud

Aiven for PostgreSQL runs the same managed database on whichever cloud you pick: AWS, GCP, Azure, DigitalOcean, and others. The draw is one control plane and one bill across all of them, on flat plans rather than a usage meter. It also ships a long list of Postgres extensions ready to switch on.

Regions / locations

Through its underlying clouds, Aiven covers a broad Asia footprint: Tokyo, Osaka, Singapore, Mumbai, Delhi, Bangalore, Seoul, Hong Kong, Jakarta, and Taiwan.

Managed features

• Flat, all-inclusive plans in place of Neon’s per-hour meter, so the tier sets the bill, not traffic
• Broad Asia coverage through its underlying clouds, well beyond Neon’s two regions
• One control plane across AWS, GCP, Azure, and more, with the same database on each
• Over 50 extensions ready to enable, PostGIS, TimescaleDB, and pgvector among them
• High availability on Business and Premium, PITR up to 30 days, VPC peering, and a 99.99% SLA

Pricing model

Aiven has a free tier and a Developer tier from $5 a month, with all-inclusive flat plans above that. Moving up the tiers buys high availability and more capacity. Prices vary by the underlying cloud and region, but each plan is a flat figure rather than a meter.

Best for

Teams that run across multiple clouds, or want to move an instance between them without changing tools, and prefer a flat plan to usage billing. If you only run on one cloud, it rarely pays off, because that cloud’s own managed Postgres is usually cheaper.

8. Crunchy Bridge: just Postgres, run by Postgres people

Crunchy Bridge is managed PostgreSQL from Crunchy Data, a team known for deep Postgres expertise. Nothing else is bolted on: it runs plain Postgres on AWS, Azure, GCP, or Heroku, at one of the lowest flat entry prices in this list. Crunchy Data joined Snowflake in 2025, and Crunchy Bridge continues as a standalone product. If you want Postgres run well with no usage meter, it is a clean pick.

Regions / locations

Crunchy Bridge runs on AWS, Azure, GCP, and Heroku. The public product pages do not expose a simple city table, so choose the cloud provider and confirm the exact Asia-Pacific region during provisioning.

Managed features

• Plain, always-on PostgreSQL with no add-ons and no branching, just the database run well
• Flat compute pricing that already folds in backups and data transfer, in place of Neon’s usage meter
• Continuous WAL archiving for automated backups and point-in-time recovery
• High-availability replicas on production tiers, with PgBouncer pooling included
• 24/7 monitoring from a team with deep Postgres expertise

Pricing model

Crunchy Bridge starts at $9 a month for a small Hobby instance, with storage billed separately at a flat per-GB rate. Compute pricing already includes backups and data transfer, which keeps the total close to the headline number.

Best for

Developers who want pure, expertly run Postgres at a low, flat entry price. Not the choice if you want a broad platform of extras or the branching workflow Neon offers, since Crunchy Bridge deliberately ships just the database.

9. DigitalOcean Managed Databases: the low-setup, flat-price option

DigitalOcean Managed Databases is the simplest option here. It is an independent, fully managed service for PostgreSQL and other engines, with flat monthly pricing and a setup built for small teams. There is no separate IOPS or egress meter to reason about, which is the contrast a Neon leaver is usually looking for.

Regions / locations

Asia Pacific coverage is limited to Singapore, Bangalore, and Sydney, alongside the US, Canada, and Europe. Anyone outside those three cities pays for it in latency.

Managed features

• One flat monthly price with no IOPS or egress meter, the opposite of Neon’s usage billing
• Almost nothing to tune: managed setup, automatic minor updates, and sensible defaults
• Free daily backups with 7-day point-in-time recovery, and optional high-availability nodes
• Vertical compute and storage scaling as usage grows
• Private networking, encryption, and connection pooling built in

Pricing model

DigitalOcean uses flat monthly pricing with bundled RAM, vCPU, and storage. The entry plan starts at $15.15 a month for 1 GiB of RAM and 10 GiB of storage, with extra storage at a fixed per-GiB rate.

Best for

The pick when you want the least to set up and think about: sensible defaults, one flat number, and no knobs to tune. It is a weaker fit for a spread-out Asian user base, since coverage ends at Singapore, Bangalore, and Sydney.

10. Render: managed Postgres next to your app

Render is a developer-friendly cloud platform that hosts your web services and a managed PostgreSQL database side by side. For teams that liked deploying an app and a database together, the way Neon pairs with a frontend host, Render keeps both on one platform with flat plans. The database is standard Postgres, with backups and a high-availability option.

Regions / locations

Render Postgres runs in Oregon, Ohio, and Virginia in the US, Frankfurt in Europe, and Singapore in Asia. Singapore is the single Asia-Pacific option, so confirm it covers your users before committing.

Managed features

• The database sits on the same platform as your web services, the way many teams paired Neon with a separate host
• Flat plans on an always-on instance, so the bill does not move with your traffic
• Daily backups with point-in-time recovery, and a high-availability standby for production
• Read replicas for scaling reads, over private networking to your services
• Standard Postgres, so nothing proprietary to migrate onto or off of

Pricing model

Render Postgres uses flat plans that start at $7 a month for a small Basic instance. A 1 GB plan runs around $20 a month, with storage billed at a fixed per-GB rate. There is a limited free database for testing that is removed after a set period, so it suits trials rather than production.

Best for

Teams that want to host the application and its database on one platform with predictable plans. Less of a fit if your users are spread across Asia, since Singapore is the only regional option, or if you need the database independent of an app platform.

11. Tiger Cloud (Timescale): managed Postgres tuned for time-series

Timescale, now sold as Tiger Cloud, is PostgreSQL built out for time-series and real-time analytics. Under the hood it is regular Postgres with the TimescaleDB extension, which brings columnar compression, continuous aggregates, and other tricks for high-volume time-stamped data. For metrics, events, or IoT, it is purpose-built in a way a general-purpose database is not.

Regions / locations

Tiger Cloud supports AWS and Azure deployments. The public docs expose the cloud-provider paths rather than a simple city table, so verify the exact AWS or Azure region available to your plan before committing.

Managed features

• The TimescaleDB extension on standard Postgres, aimed at a workload Neon does not specialize in
• Columnar compression and continuous aggregates that shrink and speed up huge time-stamped tables
• Older history tiers off to object storage to stay cheap
• Read replicas and high availability, with point-in-time recovery varying by plan
• Compute autoscaling on plans that include it, for spiky ingest loads

Pricing model

Tiger Cloud’s Performance plan starts at $30 a month, with storage metered on average consumption so it grows and shrinks with your data. A 30-day free trial, with no credit card required, lets you try it before committing.

Best for

Reach for it when the workload is time-series, metrics, or analytics and you want Postgres tuned for it. For a plain transactional app, a general-purpose managed Postgres is simpler and usually cheaper to run.

Which Neon alternative should you choose?

Answer these and the field narrows fast.

Do your users sit in Asia or the Middle East, outside Singapore and Sydney?

• Yes, and a predictable bill matters too: Nearbase, for a database in-region at a flat price.
• Yes, but you also want an app backend: Supabase, in its nearest region.

Is the main goal a flat, predictable bill instead of a usage meter?

• And you want plain Postgres: Crunchy Bridge or DigitalOcean.
• And you host the app on the same platform: Render.

Are you already committed to a hyperscaler?

• AWS: Amazon RDS, with Aurora to scale further.
• Google Cloud: Cloud SQL, or AlloyDB for heavier workloads.

Do you specifically need the serverless or branching workflow Neon is known for?

• Branching plus an app backend: Supabase comes closest.
• Copy-on-write data branching with scale-to-zero: Xata is the nearest match.
• Performance and headroom at scale: PlanetScale.
• Scale-to-zero purely to pay nothing on idle databases: this may be a case where Neon is still the right tool.

Is your workload time-series, metrics, or analytics?

• Tiger Cloud, for Postgres tuned to that shape of data.

Neon alternatives at a glance

Tool	Asia / ME regions	Managed scope	Pricing model	Best for
Nearbase	9 cities incl. Manila, KL, Bangkok, Dubai	Provisioning, backups, maintenance	Flat ~$11 to $24/mo	Asia and Middle East users
Supabase	Singapore, Tokyo, Seoul, Mumbai, Sydney	Backups, APIs, auth, storage, branching	Free plus flat Pro plan plus add-ons	App teams wanting a backend
PlanetScale	Tokyo, Mumbai, Singapore, Sydney	Branching, HA across 3 AZs, Metal NVMe	From $5/mo single-node, $15 HA	Scaling past Neon on performance
Xata	None yet (US, EU, or bring-your-own-cloud)	Copy-on-write branching, scale-to-zero	Usage-based, from ~$0.012/compute-hour	Keeping Neon-style branching
Amazon RDS	Wide (hub cities)	Backups, Multi-AZ, replicas, scaling	Metered: compute plus storage plus I/O	Staying inside AWS
Google Cloud SQL	Wide (hub cities)	Backups, HA, replicas	Metered: per vCPU plus memory plus storage	Google Cloud teams
Aiven	Wide (multi-cloud)	Backups, tiered HA, 50-plus extensions	Free plus flat plans	Multi-cloud teams
Crunchy Bridge	AWS/Azure/GCP/Heroku, region-dependent	Backups, HA, pooling	Flat from $9/mo plus storage	Postgres purists on a budget
DigitalOcean	Singapore, Bangalore, Sydney	Backups, failover, pooling	Flat monthly	Simple flat-price apps
Render	Singapore (plus US, Frankfurt)	Backups, HA standby, replicas	Flat from $7/mo plus storage	App plus database on one platform
Tiger Cloud (Timescale)	AWS/Azure, region-dependent	Backups, HA, time-series	From $30/mo, metered storage	Time-series workloads

In Asia, exact city coverage matters more than a generic global-region count. Two providers can both claim Asia coverage while one stops at Singapore and the other reaches the city your users live in.

How to move off Neon

Neon runs standard PostgreSQL, so leaving it is a normal database migration, not a rewrite. Your schema, queries, and drivers carry over to any standard-Postgres provider. Two paths cover most teams.

Small database, short maintenance window. A dump and restore is simplest. Take a pg_dump -Fc of the Neon database, load it into the new provider with pg_restore, switch your connection string over, and that is the migration. Downtime is roughly proportional to the database size.

Large database, minimal downtime. Use PostgreSQL logical replication so Neon keeps serving traffic while the new database catches up:

1. Enable logical replication on the Neon project, then create a publication on the source: CREATE PUBLICATION pub FOR ALL TABLES;
2. Load the schema into the target (pg_dump --schema-only | psql), then create a subscription that points back at Neon: CREATE SUBSCRIPTION sub CONNECTION '...' PUBLICATION pub;
3. Let the initial copy finish and the stream catch up. Watch replication lag until it reaches zero.
4. Cut over: stop writes to Neon, confirm lag is still zero, repoint the app to the new database, then drop the subscription.

One nice thing about leaving Neon: you can rehearse the whole cutover on a Neon branch first. Check row counts and a few critical queries before you flip production. One thing to check first: some managed hosts will not let you act as a logical-replication subscriber, which would block this path.

When to stay on Neon

Sometimes the honest answer is to stay. Neon is built for a specific shape of work, and it is very good at it. If your databases are mostly idle, bursty, or short-lived, scale-to-zero genuinely saves money, because you pay almost nothing while they sleep. If you spin up a fresh database for every pull request or preview environment, Neon’s branching is hard to match.

It also makes sense if your users are concentrated near one of Neon’s regions. Add a bill that is predictable at your current scale and a developer experience that keeps your team fast, and staying put is the right call. Switching has a real cost in time and risk. If none of those reasons is actually hurting you, the better move is to stay on Neon and revisit only when a concrete pain appears.

Final recommendation

Name the problem before you pick a tool. The worst outcome is switching to a provider that fixes a pain you do not actually have, so let your real reason for leaving Neon set the shortlist. If that reason is a region near users in Asia or the Middle East, or a bill that stops moving, Nearbase is built for exactly that case. Then put a real workload through two or three options and let your own numbers settle it.

Want a database in the same city as your users, at a flat monthly price, without a usage meter? Start with Nearbase and launch a Postgres instance in the region your users are in.

Frequently asked questions

Basics

What is the best alternative to Neon?

The best alternative depends on why you are leaving. For users in Asia or the Middle East who also want a predictable bill, Nearbase runs managed Postgres in-region at a flat price. Supabase is the closest match for the Neon-style developer experience plus an app backend. Amazon RDS and Google Cloud SQL fit teams on those clouds, and Crunchy Bridge, DigitalOcean, and Render win on flat, no-meter pricing.

Is there a free Neon alternative?

Supabase and Aiven have standing managed free tiers, and Supabase’s free project pauses after about a week of inactivity. Xata offers a free open-source edition you run yourself, while Render and Tiger Cloud are more limited, a free database that is removed after a set period and a 30-day trial with no credit card. PlanetScale has no free tier. The hyperscalers lean on credits instead, such as Google Cloud’s new-user credits. Free tiers suit prototypes; for steady production traffic, compare the paid plans.

Why is Neon’s bill unpredictable?

Neon’s paid plans bill compute by the hour and storage by the gigabyte, with no reserved-capacity rate, so the cost tracks usage. For an idle or bursty database that is cheap, because it scales to zero. For an always-on production database the meter runs continuously, and a traffic spike raises the compute bill in proportion. Flat-rate providers quote one monthly number instead.

Migration and compatibility

How hard is it to migrate off Neon?

For most teams it is a standard PostgreSQL migration. Neon runs standard Postgres, so your schema, queries, and drivers carry over. A small database can move with pg_dump and pg_restore plus a connection-string change. A larger one uses logical replication to cut over with minimal downtime. Confirm your target provider allows logical replication as a subscriber.

Do Neon alternatives support database branching?

Several do. Xata offers copy-on-write branching that duplicates schema and data, the closest match to Neon’s Git-like branches, and Supabase and PlanetScale both provide branching workflows of their own. Most other managed-Postgres providers give you plain standard Postgres without it. If instant branch-per-pull-request is central to how your team works, weight that feature heavily, since it is not universal.

Does any Neon alternative offer scale-to-zero?

A few do now. Xata suspends idle branches to zero, with about a one-second wake, the closest match to Neon’s model. Amazon’s Aurora Serverless v2 can also scale to zero and auto-pause, though it wakes more slowly. Most other managed-Postgres providers keep the instance running instead. If paying nothing while a database sleeps is essential, Xata, Aurora, or staying on Neon are the closest fits.

Regions and cost

Which Neon alternative is best for users in Asia?

Weight region coverage first. Neon offers only Singapore and Sydney in Asia Pacific, so if your users are elsewhere in the region, look at providers with more cities. The hyperscalers cover hub regions like Tokyo, Mumbai, and Jakarta. Nearbase is built specifically for this case, running managed Postgres in local data centers across nine Asia and Middle East cities, including ones the others skip.

Can a Neon alternative keep my data in a specific country?

Only if it has a region in that country. Laws, sector rules, and customer contracts may require in-country data residency or specific transfer safeguards. Neon’s two Asia regions and retiring Azure regions limit the options there. Match the provider’s real region list to the country your obligation names, and treat that as a yes-or-no filter before you compare anything else.

Are Neon alternatives cheaper than Neon?

It depends on the workload. For idle and bursty databases, Neon’s scale-to-zero is hard to beat on cost, because a sleeping database is nearly free. For a steady, always-on production database, a flat-rate provider like Crunchy Bridge, DigitalOcean, Render, or Nearbase is often cheaper and easier to forecast. One monthly number replaces a meter that climbs with traffic.