// browse other categories
01
The world's most advanced open source relational database. Battle-tested, extensible, and loved by developers worldwide.
★ 15.2k
// pros
- Rock-solid reliability
- Incredible extension ecosystem
- JSON + relational in one DB
- Free and open source
// cons
- Can be complex to tune
- Steeper learning curve than SQLite
02
Serverless Postgres that scales to zero. Branching for dev/preview environments. The future of Postgres hosting.
★ 14.8k
// pros
- True serverless — scales to zero
- Git-like branching for databases
- Generous free tier
- Blazing fast cold starts
// cons
- Relatively new
- Some Postgres extensions not yet supported
03
The open source Firebase alternative. Postgres under the hood with auth, storage, and realtime built in.
★ 74.0k
// pros
- Full backend-as-a-service
- Great developer experience
- Real-time subscriptions
- Generous free tier
// cons
- Vendor lock-in risk
- Complex pricing at scale
04
MySQL-compatible serverless database with non-blocking schema changes. Built on Vitess.
—
// pros
- Non-blocking schema migrations
- Horizontal scaling built-in
- Great branching workflow
- MySQL compatibility
// cons
- No foreign keys (by design)
- MySQL only
05
The original document database. Flexible schema, horizontal scaling, and a massive ecosystem.
★ 26.5k
// pros
- Flexible document model
- Easy to get started
- Great for prototyping
- Atlas cloud is excellent
// cons
- Not ideal for relational data
- Memory hungry
- Aggregation pipeline is complex
06
In-memory data store used for caching, sessions, queues, and real-time features. Incredibly fast.
★ 67.0k
// pros
- Sub-millisecond latency
- Versatile data structures
- Pub/sub built in
- Great for caching
// cons
- Data must fit in memory
- Persistence can be tricky
- License changes in 2024
07
The most deployed database in the world. Zero-config, serverless, single-file. Perfect for edge and embedded.
—
// pros
- Zero configuration
- Single file — easy backup
- Fast for read-heavy workloads
- Perfect for edge/embedded
// cons
- Single writer limitation
- No built-in replication
- Not ideal for high write concurrency
08
Distributed SQL database that survives anything. PostgreSQL wire-compatible with global scale.
★ 30.2k
// pros
- Survives node failures
- Global distribution
- PostgreSQL compatible
- Strong consistency
// cons
- Complex to self-host
- Higher latency than single-node
- Expensive at scale
09
SQLite for production. Edge-replicated, embedded database powered by libSQL. Incredibly low latency.
—
// pros
- SQLite at the edge
- Embedded replicas
- Low latency everywhere
- Generous free tier
// cons
- Young ecosystem
- Limited tooling vs Postgres
- SQLite limitations apply
10
AWS's fully managed NoSQL database. Infinite scale, single-digit millisecond performance at any scale.
—
// pros
- Infinite horizontal scale
- Fully managed
- Consistent performance
- Pay-per-request pricing
// cons
- AWS lock-in
- Querying is limited
- Steep learning curve for data modeling
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