Dynamic
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 PickGoogle'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