Prompt

I'm building a mobile backend, should I use PostgreSQL or something else?

Technology / Databases1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

Usually: start with PostgreSQL.

For most mobile backends, PostgreSQL is the best default because it gives you:

  • Strong consistency for user accounts, payments, orders, messages, etc.
  • Flexible schema when your app changes quickly
  • Great indexing and query support for feeds, search-ish queries, filtering, analytics-lite
  • Mature ecosystem: backups, migrations, ORMs, monitoring, hosting
  • JSON support if you need semi-structured data without jumping to NoSQL

When PostgreSQL is a strong fit

Use Postgres if your backend has:

  • user profiles and authentication
  • subscriptions or purchases
  • chat/messages
  • content feeds
  • admin dashboards
  • relational data with joins
  • moderate to high traffic, but not extreme scale needs yet

When you might want something else

1. Firestore / DynamoDB / MongoDB

Consider a document database if:

  • your data is mostly document-shaped
  • you want very fast development with fewer joins
  • your access patterns are simple and known ahead of time
  • you expect massive horizontal scale and are okay designing around the DB’s constraints

Tradeoffs:

  • more awkward querying for complex relationships
  • denormalization can get messy
  • consistency and transactions are often trickier than with Postgres

2. Redis

Use Redis for:

  • caching
  • rate limiting
  • ephemeral sessions
  • queues / pub-sub

Not as your primary system of record.

3. Elasticsearch / OpenSearch

Use for:

  • full-text search
  • advanced filtering/search experiences

Not as your primary database.

4. CockroachDB / YugabyteDB

If you need:

  • Postgres-like SQL
  • multi-region distribution
  • more resilience across regions

But they add complexity. For most mobile apps, plain Postgres is enough.

Practical recommendation

A common and very effective setup is:

  • PostgreSQL as your primary DB
  • Redis for caching and ephemeral data
  • optional object storage for images/videos/files
  • optional search engine later if needed

Rule of thumb

If you’re unsure, choose PostgreSQL unless you have a very specific reason not to.

If you want, I can help you choose based on your app type. For example:

  • social app
  • marketplace
  • chat app
  • fitness app
  • delivery app
  • SaaS/mobile CRM

If you tell me your app’s main features and expected traffic, I can recommend a concrete stack.

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.