Relational Databases 8 products

How to choose a relational database without a future migration?

Choose by operating model: cloud-flagship managed Postgres for ecosystem alignment, dev-first serverless Postgres for workflow, or distributed SQL when resilience and scale demand it.

How to use this page — start with the category truths, then open a product brief, and only compare once you have two candidates.
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Constraints first Pricing behavior Trade-offs

Related Categories

If you're evaluating Relational Databases, you may also need:

Object Storage
Cloud Compute

Relational DB decision finder

Choose the operating model first. Then evaluate 2–3 candidates deeply (cost cliffs, limits, and what breaks first).

Decision finder

What are you optimizing for first?

If you’re cloud-managed, what’s your cloud gravity?

What’s your risk tolerance for constraints?

Pick answers to see a recommended starting path

This is a decision brief site: we optimize for operating model + cost/limits + what breaks first (not feature checklists).

Build your shortlist

Narrow your database shortlist by cloud alignment, scaling needs, and operational model.

Select at least one filter

Freshness

Last updated: 2026-02-09T02:34:35Z
Dataset generated: 2026-01-14T00:00:00Z
Method: source-led, decision-first (cost/limits + trade-offs)

2026-02-09 — SEO metadata quality pass

Refined SEO titles and meta descriptions for search quality. Fixed copy-paste overlap in choose_a_if/choose_b_if comparison bullets. Added product overview signal bullets.

2026-02-06 — Added decision finder and freshness block

Introduced a decision finder (operating model first) and a visible freshness section to reduce stale decision guidance.

2026-01-13 — Updated category overview positioning

Refined the category verdict toward operating model + ownership + scaling path rather than SQL feature checklists.

See all updates →

Top picks in Relational Databases

These are commonly short‑listed options based on constraints, pricing behavior, and operational fit — not review scores.

Amazon Aurora (Postgres)

AWS flagship Postgres-compatible managed relational database, typically evaluated when teams want a managed Postgres core aligned to AWS infrastructure patterns…

Google AlloyDB for PostgreSQL

GCP flagship Postgres-compatible managed relational database, typically evaluated by teams building on Google Cloud who want a managed Postgres core.

Azure Database for PostgreSQL

Azure’s default managed Postgres offering, commonly chosen by Azure-first organizations that want a managed relational core aligned to Microsoft ecosystem tooli…

Neon

Serverless Postgres optimized for modern developer workflows like branching and ephemeral environments, evaluated when dev workflow is the bottleneck.

Supabase Database

Managed Postgres as part of Supabase’s developer platform, evaluated when teams want a relational core plus integrated tooling and speed-to-ship.

CockroachDB Cloud

Managed distributed SQL database with Postgres-compatible interfaces, evaluated when teams need resilience and scaling patterns beyond a single-region Postgres …

PlanetScale

Serverless MySQL platform (Vitess-based) evaluated when teams want MySQL compatibility plus modern workflows and horizontal scaling patterns.

TiDB Cloud

MySQL-compatible distributed SQL database with HTAP capabilities, evaluated when teams need MySQL compatibility at scale, real-time analytics on transactional d…

Pricing and availability may change. Verify details on the official website.

Most common decision mistake: Choosing a database based on benchmark throughput instead of the operational constraints that matter in production — failover behavior, connection limits, storage scaling cliffs, and migration complexity.

Popular head-to-head comparisons

Use these when you already have two candidates and want the constraints and cost mechanics that usually decide fit.

Teams compare Aurora and AlloyDB when choosing a cloud-flagship managed Postgres-compatible database and standardizing on one cloud…
Teams compare AlloyDB and Azure Postgres when standardizing on a managed Postgres-compatible relational baseline in one cloud ecosystem.
Teams compare Aurora and Azure Postgres when choosing which cloud ecosystem to standardize on for a managed Postgres-compatible production…
Teams compare Neon and Aurora when deciding between dev-first serverless Postgres workflow and a cloud-flagship managed Postgres baseline…
Teams compare Neon and AlloyDB when deciding between dev-first Postgres workflow and a GCP-first managed Postgres baseline for production.
Teams compare Supabase Database and Azure Postgres when weighing a dev platform experience against an Azure-native managed Postgres…
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How to choose the right Relational Databases platform

Operational model and ownership

Managed databases reduce some ownership but still require schema/migration governance and performance discipline. Serverless/dev-first databases optimize workflow but can impose constraints. Distributed SQL increases complexity to unlock resilience and scale patterns.

Questions to ask:

  • Is your bottleneck developer workflow or production governance and reliability?
  • Do you need single-region Postgres, or distributed SQL resilience patterns?
  • Who owns migrations, performance, and database governance long-term?

Ecosystem alignment vs portability

Cloud flagships integrate deeply into their ecosystem, reducing friction but increasing switching cost. Independents can improve portability and workflow, but may shift responsibilities back to your team.

Questions to ask:

  • Are you standardizing on AWS/GCP/Azure for identity and networking?
  • How much lock-in is acceptable for faster time-to-ship?
  • What is your realistic exit/migration plan if needs change?

How we evaluate Relational Databases

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Source-Led Facts

We prioritize official pricing pages and vendor documentation over third-party review noise.

🎯

Intent Over Pricing

A $0 plan is only a "deal" if it actually solves your problem. We evaluate based on use‑case fitness.

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Durable Ranges

Vendor prices change daily. We highlight stable pricing bands to help you plan your long-term budget.