Managed and serverless database services: the big three clouds' relational services, serverless PostgreSQL and SQLite platforms, and managed open source databases. Several of these have in-depth guides in our cloud databases section.
Last updated November 2026. Each listing links to its full profile or guide, which shows its own review date. No vendor paid for inclusion and the order is alphabetical, not a ranking.
All cloud database platforms listings
Freemium
Aiven
Managed PostgreSQL, MySQL, Kafka, Valkey and other open source services on six clouds with all-inclusive hourly plans.
Paid
Amazon Aurora
AWS MySQL- and PostgreSQL-compatible database on a shared, distributed storage layer.
Paid
Amazon RDS
AWS managed relational databases for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and Db2.
Freemium
Azure Cosmos DB
Microsoft's globally distributed NoSQL and vector database with several APIs and request-unit pricing.
Freemium
Azure SQL Database
Microsoft's fully managed SQL Server engine in the cloud, with DTU and vCore models and a free offer.
Freemium
Azure SQL Managed Instance
A fully managed SQL Server instance inside your Azure virtual network with near-complete SQL Server compatibility.
Freemium
Cloudflare D1
Serverless SQLite-semantics database for Cloudflare Workers, billed on rows read and written, with Time Travel restore.
Paid
DigitalOcean Managed Databases
Managed PostgreSQL, MySQL, MongoDB, Valkey, Kafka and OpenSearch with flat per-node prices and daily PITR backups.
Paid
Google AlloyDB
Google's PostgreSQL-compatible managed database with separate compute and storage and a columnar engine.
Paid
Google Cloud Spanner
Google's distributed relational database with SQL, ACID transactions and horizontal scaling across regions.
Paid
Google Cloud SQL
Google Cloud's managed MySQL, PostgreSQL and SQL Server service, in Enterprise and Enterprise Plus editions.
Freemium
MongoDB Atlas
MongoDB's managed service on AWS, Azure and Google Cloud with Free, Flex and Dedicated tiers and multi-cloud clusters.
Freemium
Neon
Serverless PostgreSQL with branching, autoscaling and scale to zero, now part of Databricks.
Paid
PlanetScale
Managed MySQL on Vitess and PostgreSQL 17 and 18 on HA clusters in AWS and Google Cloud; no free plan.
Freemium
Supabase
A backend platform around a full PostgreSQL database per project, with Auth, Storage, Realtime and APIs.
No listings match this filter.
Comparisons
Amazon RDSVSAzure SQL Database
Managed relational databases on AWS and Azure, compared.
Amazon RDSVSCloud SQL
Managed MySQL, PostgreSQL and SQL Server on AWS and Google Cloud, plus RDS-only MariaDB, Oracle and Db2.
Amazon RDSVSAmazon Aurora
Standard managed engines against AWS's cloud-native MySQL and PostgreSQL.
Azure SQL DatabaseVSSQL Managed Instance
Microsoft's two PaaS SQL options and the compatibility trade-off between them.
Cloud SQLVSAlloyDB
Google's managed PostgreSQL options: standard Cloud SQL or AlloyDB.
Amazon AuroraVSGoogle AlloyDB
AWS's and Google's high-end PostgreSQL-compatible databases: serverless and Global Database vs columnar engine and Omni.
SupabaseVSNeon
A PostgreSQL backend platform against Databricks-owned serverless Postgres with branching and scale to zero.
NeonVSPlanetScale
Serverless, branchable PostgreSQL against PlanetScale's provisioned Vitess MySQL and Postgres clusters.
SupabaseVSPlanetScale
A PostgreSQL backend platform against a database-only service offering MySQL (Vitess) and PostgreSQL.
NeonVSAmazon RDS
Serverless, branchable Postgres (now part of Databricks) against provisioned RDS for PostgreSQL.
MongoDB AtlasVSAzure Cosmos DB
Managed MongoDB on any cloud against Cosmos DB's RU-based MongoDB API, plus where Azure DocumentDB fits.
Cloudflare D1VSTurso
Two SQLite-based serverless databases for edge applications.
Azure SQLVSCloud SQL
Microsoft's SQL Server-based cloud family against Google's managed databases.
SupabaseVSAmazon RDS
A Postgres backend platform against managed Postgres on AWS.
PlanetScaleVSAmazon RDS
A managed Vitess and Postgres platform against AWS's managed databases.
Alternatives and buyer guides
Related reading on CodeWithSQL
How we research listings: our editorial method. Other categories: the full SQL tools directory.
Compare before you choose
See the head to head comparisons or browse every category in the tools directory.