Prompt

What do most startups use for their primary database, PostgreSQL or something else?

Technology / Databases1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

For most startups, PostgreSQL is the default primary database.

Why Postgres is so common

  • Reliable and mature: battle-tested, widely trusted
  • Flexible: handles structured data well and also supports JSON/JSONB
  • Powerful enough for early and mid-stage products: good indexing, transactions, joins, constraints
  • Low operational burden: easy to run on managed services like AWS RDS, Supabase, Neon, Heroku, etc.
  • Large ecosystem: lots of tooling, ORM support, and developer familiarity

What else startups use

Depending on the product, some startups choose:

  • MySQL: still common, especially if teams already know it or are using certain hosting/platform defaults
  • MongoDB: for document-heavy apps, though less often as the main “default” than it used to be
  • DynamoDB / Firestore / Supabase / etc.: when the app architecture strongly benefits from managed NoSQL or serverless patterns
  • SQLite: often for prototypes, local-first apps, or very small deployments

Typical pattern

A lot of startups start with:

  • Postgres as the main transactional database
  • Redis for caching/queues/sessions
  • Maybe a search engine or analytics store later

Bottom line

If you mean “what is the most common primary database choice for startups?”, the answer is PostgreSQL.

If you want, I can also give you:

  1. a startup database decision guide, or
  2. a Postgres vs MySQL vs MongoDB comparison for new products.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.