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Firebase vs Elasticsearch

Google's all-in-one meets the search engine that thinks it's a database. Here's our take.

🧊Nice Pick

Firebase

Google's all-in-one. Fast to start, painful to leave.

Firebase

Nice Pick

Google's all-in-one. Fast to start, painful to leave.

Pros

  • +Mature ecosystem
  • +Great docs
  • +Fast prototyping
  • +Google scale

Cons

  • -Vendor lock-in
  • -NoSQL limits
  • -Pricing surprises
  • -Proprietary

Elasticsearch

The search engine that thinks it's a database. Great for logs, but good luck with transactions.

Pros

  • +Blazing-fast full-text search and analytics
  • +Scalable and distributed by design
  • +Rich ecosystem with Kibana for visualization

Cons

  • -Not ACID-compliant, so avoid for transactional data
  • -Can be resource-hungry and complex to tune

The Verdict

Use Firebase if: You want mature ecosystem and can live with vendor lock-in.

Use Elasticsearch if: You prioritize blazing-fast full-text search and analytics over what Firebase offers.

🧊
The Bottom Line
Firebase wins

Google's all-in-one. Fast to start, painful to leave.

Disagree with our pick? nice@nicepick.dev