Best software · Developer & data
10 Best Postgres Hosting Services of 2026
This list is for developers and small platform teams choosing a managed PostgreSQL database for a production web or mobile app. It covers developer platforms that wrap Postgres with extra services (Supabase, Neon), Postgres specialists (PlanetScale Postgres, Crunchy Bridge, Aiven, Tiger Cloud), an app host with built-in databases (Render) and the three hyperscaler services (Amazon RDS for PostgreSQL, Google Cloud SQL, Azure Database for PostgreSQL). We compared documented features and published prices for 10 services. Scores weigh features at 40%, ease of use at 30% and value at 30%.
By the Mojolin research desk · Updated November 12, 2026 · 10 tools compared · Prices checked on vendor pages, latest November 12, 2026
Questions or corrections: editorial@mojolin.com
Mojolin is self-funded How we score
Supabase is our top pick for most app teams: the free plan is enough for a prototype, and the $25 a month Pro plan includes $10 of compute credits, 8 GB of disk per project, daily backups kept for 7 days and an auto-generated API on top of a full Postgres database. Neon is the strongest choice for preview environments and spiky traffic, with copy-on-write branches and compute that scales to zero, billed at $0.106 per CU-hour on Launch. PlanetScale Postgres starts at $5 a month and offers a three-zone high availability setup and local NVMe Metal instances from $50. Crunchy Bridge and Aiven give you plain, well-managed Postgres on the cloud of your choice at fixed monthly prices. Render is the simplest option if your app already runs there. Amazon RDS, Google Cloud SQL and Azure Database for PostgreSQL win when the rest of your stack lives in that cloud.
Top picks
Also great
PlanetScale Postgres
8.7 / 10
Performance-focused teams that want a low entry price
Read the review →Comparison table
| # | Tool | Pricing | Score | |
|---|---|---|---|---|
| 1 |  Supabase | App teams who want Postgres plus a ready-made backend | Free plan; Pro from $25 per month with $10 of compute credits included | 9.1 |
| 2 |  Neon | Teams with spiky traffic or many preview databases | Free plan; usage-based Launch plan at $0.106 per CU-hour, with a typical spend of $15 per month | 9.0 |
| 3 | PlanetScale Postgres | Performance-focused teams that want a low entry price | Single node from $5 per month; Metal with local NVMe from $50 per month | 8.7 |
| 4 |  Crunchy Bridge | Teams that want plain Postgres with predictable bills | Hobby-0 from $9 per month on AWS; storage $0.10 per GB | 8.5 |
| 5 |  Aiven for PostgreSQL | Teams that run Postgres alongside Kafka or other data services | Free plan; Developer plan $5 per month; Hobbyist from $12 per month | 8.4 |
| 6 |  Render Postgres | Developers who already deploy their app on Render | Free instance with limitations; paid Postgres from $6 per month plus a $0 Hobby or $25 Pro workspace | 8.3 |
| 7 |  Amazon RDS for PostgreSQL | Teams whose app already runs on AWS | See vendor pricing (USD check pending) | 8.1 |
| 8 |  Google Cloud SQL for PostgreSQL | Teams building on Google Cloud, GKE or BigQuery | See vendor pricing (USD check pending) | 8.0 |
| 9 |  Tiger Cloud | Apps with time-series, event or IoT data | Performance plan compute from $30 per month plus storage at $0.177 per GB-month; 30-day free trial | 7.9 |
| 10 |  Azure Database for PostgreSQL | Teams standardized on Microsoft Azure | See vendor pricing (USD check pending) | 7.8 |
Scoring weights
Every tool gets three editorial scores out of 10, from vendor documentation, product pages and the published price. The overall score is the weighted average below, the same method on every list. Full method
The full ranking
Rank 1 · Best overall
Supabase
Managed Postgres platform that adds auth, storage, realtime subscriptions and auto-generated APIs to every project.
supabase.com9.1
out of 10
Best for: App teams who want Postgres plus a ready-made backend
Supabase is the quickest way to put a production app on Postgres without writing a separate backend. Every project starts as a full Postgres database, and Row Level Security, realtime subscriptions and auto-generated APIs are built in but optional. Auth, file storage, edge functions, cron and queues live in the same project, which removes several services from a typical stack.
The free plan gives you a 500 MB database, 50,000 monthly active users and 1 GB of file storage, but free projects pause after a week without activity. Pro starts at $25 a month, includes $10 of compute credits that cover one Micro instance, 8 GB of disk per project and daily backups kept for 7 days. Larger compute is an add-on, scaling to 64 vCPUs and 256 GB RAM. The main drawback is cost at the top end: SSO, SOC 2 and ISO 27001 need the $599 a month Team plan, and HIPAA is a paid add-on on top.
Standout feature
Supabase is the best choice for app teams that want a backend around Postgres because every $25 Pro project includes the database, auth, storage and daily backups.
Use cases
Startup founders
Launch a web app with sign-in, file uploads and a Postgres database
Outcome: One $25 a month project instead of separate auth, storage and database vendors
Mobile developers
Read and write data from the client with Row Level Security policies
Outcome: No custom API server for basic CRUD
Product teams
Give each Git branch its own Supabase preview branch
Outcome: Schema changes tested before they reach production
Key features
- Every project is a full, dedicated Postgres database with Row Level Security
- Auto-generated APIs and realtime data-change listeners over websockets
- Pro plan includes 8 GB disk per project and daily backups stored for 7 days
- Compute add-ons from a $10 Micro instance up to 64 vCPUs and 256 GB RAM
- Branching tied to Git branches and read replicas
Pros
- Free plan includes a 500 MB database and 50,000 monthly active users
- Paid plans include $10 a month in compute credits, enough for one Micro instance
- Auth, file storage and edge functions sit next to the database
Cons
- Free projects are paused after 1 week of inactivity, with a limit of 2 active projects
- SSO and SOC 2 need the Team plan at $599 a month
- Additional projects cost from $10 a month each
Rank 2 · Runner-up
Neon
Serverless Postgres with copy-on-write branching, autoscaling and scale to zero, billed by usage.
neon.com9.0
out of 10
Best for: Teams with spiky traffic or many preview databases
Neon separates storage from compute, which gives it two features most hosts lack: instant copy-on-write branches and compute that scales to zero when nobody is querying. Branches carry auth, Object Storage and Functions with them, so a preview deployment can get its own full copy of the backend. Storage is multi-AZ by default, and each compute supports up to 10,000 pooled connections through built-in PgBouncer.
The free plan is generous for side projects, with 100 projects, 100 CU-hours per project each month and 1 GB of storage per project. Launch is fully usage-based at $0.106 per CU-hour and $0.35 per GB-month, and Neon quotes a typical spend of $15 a month for an intermittent 1 GB workload. Scale raises the ceiling to 56 CU and adds SLAs, HIPAA and private networking at $0.222 per CU-hour. The tradeoff is predictability: a busy database that never idles can cost more than a fixed instance elsewhere.
Standout feature
Neon is the best choice for preview-heavy workflows because it creates copy-on-write branches instantly and bills Launch compute at $0.106 per CU-hour.
Use cases
Frontend teams
Create a database branch for every pull request preview
Outcome: Each preview runs against realistic data without copying a dump
Side-project builders
Run several low-traffic apps on the free plan
Outcome: Databases sleep when idle and wake on the next query
AI app developers
Store embeddings with the pgvector extension
Outcome: Vector search in the same database as application data
Key features
- Instant copy-on-write branches of the database for previews, tests and agents
- Autoscaling compute that scales to zero after 5 minutes when inactive
- Up to 10,000 pooled connections per compute with built-in PgBouncer
- Multi-AZ storage by default, without HA standbys
- Managed Better Auth, Data API, Object Storage and Functions in every project
Pros
- Free plan covers 100 projects with 100 CU-hours and 1 GB of storage per project
- Launch compute is billed at $0.106 per CU-hour, so idle databases cost little
- Read replicas without added storage costs
Cons
- Usage-based bills are harder to forecast than a fixed instance price
- Launch compute tops out at 16 CU (64 GB RAM)
- SLAs, HIPAA and private networking need the Scale plan at $0.222 per CU-hour
Rank 3 · Also great
PlanetScale Postgres
Managed Postgres from PlanetScale with single-node, three-zone high availability and local NVMe Metal options.
planetscale.com8.7
out of 10
Best for: Performance-focused teams that want a low entry price
PlanetScale built its reputation on Vitess for MySQL and now sells Postgres on the same platform. The range runs from a $5 a month single node for development and low-traffic production, through a High Availability layout with 1 primary and 2 replicas across 3 availability zones, to Metal instances on local NVMe storage from $50 a month. For data that outgrows one machine, PlanetScale offers Neki, its horizontally sharded Postgres.
Pricing is resource-based on the Base plan, so you can resize instances without a contract, and the pricing catalog itself is exposed as a read-only Postgres database you can query. Enterprise adds Business support, single-tenant deployments, PCI DSS and PlanetScale Managed, which runs the platform inside your own AWS or GCP account. There is no permanent free plan, and the service runs only on AWS and GCP regions with at least 3 availability zones for additional regions.
Standout feature
PlanetScale Postgres is the best low-cost entry for production Postgres because a single node starts at $5 a month and grows to three-zone HA or NVMe Metal.
Use cases
Indie developers
Run a small production app on a single-node database
Outcome: Managed Postgres from $5 a month
Scaling SaaS teams
Move a busy database to Metal with local NVMe storage
Outcome: Higher I/O without managing servers
Regulated enterprises
Use PlanetScale Managed in their own AWS account
Outcome: Data stays in their cloud account while PlanetScale runs the platform
Key features
- Single node Postgres from $5 a month for development and low-traffic production
- High Availability with 1 primary and 2 replicas across 3 availability zones
- Metal instances with local NVMe storage from $50 a month
- Neki, horizontally sharded Postgres, for workloads that outgrow one node
- PlanetScale Managed deploys into your own AWS or GCP account
Pros
- $5 entry price is the lowest paid starting point on this list
- Prices can be queried with SQL from a public read-only pricing database
- Available through the AWS Marketplace and Google Cloud Marketplace
Cons
- No permanent free plan
- Runs on AWS and GCP only, not Azure
- PCI DSS and single-tenant deployments need the Enterprise plan
Rank 4
Crunchy Bridge
Fully managed Postgres from Crunchy Data on AWS, Azure or Google Cloud, with all-inclusive instance pricing.
crunchydata.com8.5
out of 10
Best for: Teams that want plain Postgres with predictable bills
Crunchy Bridge is managed Postgres without extras, from a company that focuses on Postgres. You pick AWS, Azure or Google Cloud and an instance size, and the listed price covers machine costs, hosting, backups, data transfer and connection pooling. Storage is a flat $0.10 per GB, so 100 GB adds $10 a month.
On AWS the Hobby-0 instance lists at $9 a month with 0.5 GB of memory, Standard-4 at $70 with 4 GB, and the range runs up to Memory-512 with 512 GB at $7,680 a month. Daily and WAL backups are included at no cost with point-in-time recovery, and the Crunchy Data team monitors databases around the clock. Security features include SOC 2 Type 2, HIPAA compliance, SSO enforcement, audit logs and private networking. There is no free plan, and the headline on the pricing page says plans start at $10 a month while the AWS table lists $9, so check the cloud you plan to use.
Standout feature
Crunchy Bridge is the best choice for predictable bills because its instance prices include backups, data transfer and connection pooling, with storage at $0.10 per GB.
Use cases
Teams leaving Heroku Postgres
Move to a managed Postgres host on their preferred cloud
Outcome: Fixed monthly instance prices with backups included
Healthcare startups
Host patient data in a HIPAA-compliant database
Outcome: Compliance features without enterprise contracts
Data-heavy apps
Size up to a memory-optimized instance
Outcome: Up to 512 GB of memory on one database
Key features
- Runs on AWS, Azure or Google Cloud
- Prices include infrastructure, backups, data transfer and connection pooling
- Daily and WAL backups at no cost with point-in-time recovery
- 24/7 monitoring by the Crunchy Data team and hourly billing
- SOC 2 Type 2, HIPAA compliance, SSO enforcement and audit logs
Pros
- Instance prices are all-inclusive, which makes bills easy to forecast
- Storage costs a flat $0.10 per GB
- Single tenant with private networking
Cons
- No free plan
- No built-in auth, storage or API layer around the database
- Hobby instances have as little as 0.5 GB of memory
Rank 5
Aiven for PostgreSQL
Managed PostgreSQL on AWS, Google Cloud, Azure, DigitalOcean, UpCloud and OVH, with fixed monthly plans.
aiven.io8.4
out of 10
Best for: Teams that run Postgres alongside Kafka or other data services
Aiven runs PostgreSQL as one of several open-source data services on a single platform, which suits teams that also need Kafka, ClickHouse or Valkey. Plans are fixed monthly prices. The free plan gives one dedicated VM with 1 CPU, 1 GB RAM and 1 GB of storage, and the $5 Developer plan raises storage to 8 GB, but neither lets you choose a cloud or region or use connection pooling.
Hobbyist starts at $12 a month and Startup at $75, with 2 to 32 CPUs, 4 to 192 GB RAM and up to 11 TB of storage. High availability arrives with the Business plan from $180, which adds a second VM, and Premium from $270 runs three. Aiven lists more than 50 extensions, including pgvector, PostGIS, pg_cron and pg_repack, and a 99.99% SLA on its PostgreSQL page. The cloud choice is wide: AWS, Google Cloud, Azure, DigitalOcean, UpCloud and OVH.
Standout feature
Aiven is the best choice for multi-service data stacks because Postgres runs beside Kafka, ClickHouse and Valkey on six clouds, with plans from $5 a month.
Use cases
Event-driven teams
Run Postgres next to Kafka on one provider
Outcome: One console, one bill and built-in integrations
European SaaS companies
Host Postgres on UpCloud or OVH in Europe
Outcome: Managed Postgres outside the big three clouds
Students and hobbyists
Learn Postgres on the free plan
Outcome: A dedicated VM at no cost
Key features
- 50+ supported extensions including pgvector, PostGIS, pg_cron and pgaudit
- Deploy on AWS, Google Cloud, Azure, DigitalOcean, UpCloud or OVH
- Startup plans from $75 a month with 2 to 32 CPUs and up to 11 TB storage
- Business plans from $180 a month add high availability with 2 VMs
- Same platform runs Kafka, ClickHouse, OpenSearch, Valkey and MySQL
Pros
- Permanent free plan with a dedicated 1 CPU, 1 GB RAM VM
- Fixed monthly prices that cover the service
- Wide choice of clouds and regions on paid plans
Cons
- Free and Developer plans cannot select a cloud or region
- No connection pooling or integrations on Free and Developer
- High availability starts at the $180 a month Business plan
Rank 6
Render Postgres
Managed Postgres built into the Render app hosting platform, priced per instance.
render.com8.3
out of 10
Best for: Developers who already deploy their app on Render
Render Postgres is the database option inside Render's app hosting platform, so it makes the most sense when your web service, background workers and cron jobs already run there. Instances are priced by size: a free instance with limitations, $6 a month for 256 MB RAM and 100 connections, $19 for 1 GB and $40 for 2 GB, scaling up to 128 CPU and 1024 GB of RAM. Storage is expandable at $0.30 per GB.
The workspace plan controls some database features. Hobby workspaces are $0 plus compute and keep 3 days of point-in-time recovery, while Pro workspaces at $25 a month plus compute keep 7 days. Paid instances add logical exports, and connection pooling, read-only replicas and high availability are listed for Postgres databases. Compared with Postgres specialists, Render has fewer database-specific tools, but its setup is the simplest here for teams already on the platform.
Standout feature
Render Postgres is the best choice for Render-hosted apps because paid databases start at $6 a month and sit next to the app in one dashboard.
Use cases
Full-stack developers
Deploy a web service and its Postgres database together
Outcome: One platform and one bill for the whole app
Hackathon teams
Spin up a free Postgres instance for a demo
Outcome: A working database in minutes at no cost
Growing SaaS teams
Upgrade to a Pro workspace for longer recovery
Outcome: 7 days of point-in-time recovery
Key features
- Fully managed PostgreSQL scaling up to 128 CPU and 1024 GB of RAM
- Expandable storage at $0.30 per GB
- Point-in-time recovery: 3 days on Hobby, 7 days on Pro and above
- Connection pooling and logical exports for paid instances
- Read-only replicas and high availability options
Pros
- Database lives next to web services, workers and cron jobs in one dashboard
- Paid instances start at $6 a month
- Startups can apply for up to $100K in credits
Cons
- Free Postgres instances come with limitations
- Best value only if your app also runs on Render
- Smallest paid instance has 256 MB RAM
Rank 7
Amazon RDS for PostgreSQL
AWS's managed PostgreSQL service with Multi-AZ deployments, read replicas and deep AWS integration.
aws.amazon.com8.1
out of 10
Best for: Teams whose app already runs on AWS
Amazon RDS for PostgreSQL handles installation, upgrades, storage management, replication and backups, and it plugs directly into the rest of AWS. Multi-AZ deployments add a standby for production availability, and Read Replicas scale out read-heavy workloads beyond one instance. Trusted Language Extensions let you build and run your own extensions in trusted languages without waiting for AWS to certify them.
New AWS customers get a year of Free Tier usage: 750 hours on selected Single-AZ instances, 20 GB of gp2 storage and 20 GB of backup storage each month. After that, cost is the sum of instance-hours, storage, provisioned IOPS, backups and data transfer, and Database Savings Plans offer discounts for a 1-year commitment. Burstable T3 and T4g instances charge $0.075 per vCPU-hour in CPU credits when average use exceeds the baseline. RDS has the deepest feature set of the hyperscalers here, but it expects you to understand VPCs, security groups and the AWS pricing calculator.
Standout feature
Amazon RDS for PostgreSQL is the best choice for AWS-based teams because it adds Multi-AZ failover and Read Replicas inside the same AWS account and VPC.
Use cases
AWS-native SaaS teams
Run the production database in the same VPC as their services
Outcome: Private networking and one AWS bill
Read-heavy apps
Add Read Replicas for reporting queries
Outcome: Analytics no longer slow the primary
New AWS customers
Run a small Single-AZ database under the Free Tier
Outcome: A year of managed Postgres within Free Tier limits
Key features
- Multi-AZ deployments for availability and durability
- Read Replicas to scale out read-heavy workloads
- Trusted Language Extensions for building custom extensions
- Automated backups plus user-initiated snapshots kept until you delete them
- Database Savings Plans with a 1-year usage commitment
Pros
- AWS Free Tier includes 750 hours of Single-AZ instances for new customers for one year
- Works with existing AWS IAM, VPCs and billing
- Wide range of instance types
Cons
- Pricing combines instance-hours, storage, IOPS, backups and data transfer
- Setup involves VPC, security group and parameter group choices
- T3 and T4g burst instances charge CPU credits at $0.075 per vCPU-hour above baseline
Rank 8
Google Cloud SQL for PostgreSQL
Google Cloud's managed PostgreSQL service in Enterprise and Enterprise Plus editions.
cloud.google.com8.0
out of 10
Best for: Teams building on Google Cloud, GKE or BigQuery
Google Cloud SQL for PostgreSQL is the natural home for Postgres when your app runs on Google Kubernetes Engine or Cloud Run, or when analysts want to query production data from BigQuery. You choose between the Enterprise edition for general-purpose workloads and Enterprise Plus for high-performance, business-critical ones. Google states that planned maintenance causes near-zero downtime of less than ten seconds and that its SLAs of up to 99.99% include maintenance.
Cloud SQL supports the popular PostgreSQL extensions, including pgvector for AI features, and more than 100 database flags. Pricing is metered per vCPU-hour, per GiB-hour of memory and per GB of storage, with high availability instances billed at twice the vCPU and memory rates and committed use discounts for 1-year or 3-year terms. New customers get $300 in credits. As with RDS, the flexibility comes with more setup decisions than a developer platform.
Standout feature
Google Cloud SQL is the best choice for Google Cloud teams because maintenance takes less than ten seconds of downtime and SLAs reach 99.99%.
Use cases
GKE platform teams
Connect Kubernetes services to a managed Postgres instance
Outcome: Database and workloads managed in one Google Cloud project
Analytics teams
Query Cloud SQL tables from BigQuery
Outcome: Reports on fresh data without a separate pipeline
Uptime-sensitive apps
Run Enterprise Plus for business-critical workloads
Outcome: Maintenance windows under ten seconds of downtime
Key features
- Enterprise edition for general workloads and Enterprise Plus for business-critical ones
- Planned maintenance with near-zero downtime of less than ten seconds
- Availability SLAs up to 99.99%, inclusive of maintenance
- Support for popular PostgreSQL extensions, including pgvector, and over 100 database flags
- Integration with Google Kubernetes Engine, BigQuery and Cloud Run
Pros
- New customers get $300 in free credits
- Query Cloud SQL data directly from BigQuery
- Committed use discounts for 1-year and 3-year terms
Cons
- Pricing is per vCPU, memory and storage, so totals need the calculator
- High availability doubles the vCPU and memory rates
- No permanent free plan
Rank 9
Tiger Cloud
Managed Postgres with TimescaleDB from Tiger Data, the company formerly known as Timescale, built for time-series and analytics workloads.
tigerdata.com7.9
out of 10
Best for: Apps with time-series, event or IoT data
Tiger Cloud is the managed service from Tiger Data, the company behind TimescaleDB, so it fits apps that store metrics, events, sensor readings or other time-series data in Postgres. It runs on AWS and is also available on Azure. Compute and storage scale independently and are billed hourly.
The Performance plan starts at $30 a month for compute plus $0.177 per GB-month of storage, with up to 4 database services, 8 CPU and 32 GB memory per service and 3 days of point-in-time recovery. Scale starts at $36 a month for compute and $0.212 per GB-month, and adds unlimited services, up to 32 CPU and 128 GB memory, read replicas, multi-node high availability, tiered storage at $0.021 per GB-month and 14 days of recovery. Note that Tiger Data's effective storage prices assume 5x compression. Both paid plans include a 30-day free trial, and HIPAA and SSO arrive on Enterprise.
Standout feature
Tiger Cloud is the best choice for time-series workloads because it pairs Postgres with TimescaleDB and tiered storage at $0.021 per GB-month.
Use cases
IoT companies
Store sensor readings in Postgres with TimescaleDB
Outcome: Time-series queries without a separate database
Product analytics teams
Move older event data to tiered storage
Outcome: Cold data kept at $0.021 per GB-month on Scale
Fintech developers
Run high-volume price and trade history queries
Outcome: Up to 40K IOPS per service on Scale
Key features
- Postgres with TimescaleDB for time-series, vector and keyword search workloads
- Tiered storage at $0.021 per GB-month on the Scale plan
- Scale plan supports up to 32 CPU, 128 GB memory and 64 TB disk per service
- Read replicas and multi-node high-availability replicas on Scale
- Point-in-time recovery to 3 days on Performance and 14 days on Scale
Pros
- 30-day free trial on Performance and Scale
- Compute and storage scale independently with hourly billing
- Open-source TimescaleDB can be self-hosted for free
Cons
- Entry compute starts at $30 a month, higher than most hosts here
- Performance plan is limited to 4 database services
- Storage prices assume 5x compression, so uncompressed data costs more
Rank 10
Azure Database for PostgreSQL
Microsoft's fully managed PostgreSQL service with zone-redundant high availability and elastic clusters.
azure.microsoft.com7.8
out of 10
Best for: Teams standardized on Microsoft Azure
Azure Database for PostgreSQL is a fully managed service on the open-source PostgreSQL engine, with Azure handling patching, backups, high availability and scaling. Zone-redundant high availability backs an SLA of up to 99.99%, and continuous backups support point-in-time restore. For workloads that outgrow one server, elastic clusters distribute PostgreSQL across nodes without rewriting the application.
The AI story is strong for Microsoft shops: pgvector handles vector search, and Azure's AI extension supports semantic search, RAG and calling models directly from Postgres. Microsoft also says its team has made more than 450 commits to PostgreSQL core over the last 10 years. Pricing on the flexible server page varies by compute tier, storage and region, and new Azure accounts get a $200 credit for 30 days. The tradeoff is the same as the other hyperscalers: more setup decisions and a pricing calculator in place of a single monthly number.
Standout feature
Azure Database for PostgreSQL is the best choice for Azure teams because it combines a 99.99% SLA with elastic clusters for scaling past one node.
Use cases
Microsoft-centric enterprises
Run app databases inside existing Azure subscriptions
Outcome: One identity, network and billing setup
AI app teams on Azure
Add vector search and model calls in the database
Outcome: RAG features without a separate vector store
High-throughput SaaS apps
Distribute data with elastic clusters
Outcome: Scale beyond one node without an application rewrite
Key features
- Up to 99.99% availability with built-in, zone-redundant high availability
- Elastic clusters distribute PostgreSQL workloads beyond a single node
- pgvector and an AI extension for semantic search and calling models from Postgres
- Continuous backups with point-in-time restore
- Automatic patching, backups and failover
Pros
- New Azure accounts get a $200 credit for 30 days
- Fits Azure networking, identity and billing
- Microsoft reports 450+ commits to PostgreSQL core over 10 years
Cons
- Instance, storage and backup pricing needs the Azure calculator
- More configuration choices than developer-focused hosts
- No permanent free plan
Frequently asked questions
+What is the best Postgres hosting service in 2026?
Supabase is our top pick for most app teams. Its $25 a month Pro plan includes a dedicated Postgres database, $10 of compute credits, 8 GB of disk per project and daily backups kept for 7 days. Neon is the best alternative for branching and scale to zero.
+What is the cheapest managed Postgres hosting?
PlanetScale Postgres and Aiven's Developer plan both start at $5 a month as of November 2026. Render's smallest paid Postgres instance costs $6 a month, and Supabase, Neon, Aiven and Render also offer free tiers.
+Is there a free Postgres hosting plan?
Yes. Neon's free plan covers 100 projects with 1 GB of storage each, Supabase's free plan includes a 500 MB database, and Aiven offers a free 1 GB RAM VM. Supabase pauses free projects after 1 week of inactivity.
+Is Supabase or Neon better for Postgres?
Supabase is better if you want auth, storage and APIs alongside the database; Neon is better if you want usage-based billing and instant branches. Neon bills Launch compute at $0.106 per CU-hour and scales to zero after 5 minutes idle, while Supabase Pro is a $25 monthly subscription plus compute.
+Should I use Amazon RDS or a Postgres platform like Supabase?
Use Amazon RDS if your app already runs on AWS and you need its VPCs, IAM and Multi-AZ deployments. Use Supabase or Neon if you want to start fast with a simpler bill, since RDS prices instance-hours, storage, IOPS and backups separately.
+Which Postgres host is best for time-series data?
Tiger Cloud is the best fit for time-series data. It runs Postgres with TimescaleDB, offers tiered storage at $0.021 per GB-month on the Scale plan and includes a 30-day free trial.
+Which managed Postgres host has the best uptime guarantee?
Azure Database for PostgreSQL, Google Cloud SQL and Aiven all publish SLAs of up to 99.99%. Google states that Cloud SQL maintenance causes less than ten seconds of downtime and that its SLA includes maintenance.
About this list
Updated November 12, 2026 by the Mojolin research desk. Mojolin is self-funded
Questions or corrections: editorial@mojolin.com
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