QuantaDB Roadmap: Building the Future of Dart Databases
Today, I'm excited to share our detailed roadmap for QuantaDB, highlighting what we've accomplished and what's coming next. This roadmap reflects our commitment to building a high-performance, developer-friendly database solution for the Dart and Flutter ecosystem.
What We've Built So Far ๐๏ธโ
Phase 1: Core Storage Engine โ โ
We've successfully implemented the foundation of QuantaDB with a pure Dart LSM-Tree storage engine. Here's what's already working:
-
High-Performance Storage
- MemTable using
SplayTreeMap
for O(log n) writes - SSTable serialization with 4KB block alignment
- Three-layer Bloom filters for lightning-fast lookups
- Background compaction using
Isolate
workers
- MemTable using
-
Robust Data Management
- Transaction support with atomic operations
- Type-safe change notifications
- Efficient binary serialization with DartBson
- Comprehensive error handling and recovery
Phase 2: Code Generation (In Progress) ๐โ
We're currently working on making QuantaDB more developer-friendly through annotation-driven code generation:
-
Completed Features
@QuantaEntity
annotation system- Primary key and index support
- Field validation with constraints
- Schema version tracking
- Basic composite indexes
-
Currently Working On
- Type adapter generation
- DAO class generation
- Enhanced schema validation
- Advanced index management
What's Coming Next ๐โ
Phase 2 Completion (Q2 2024)โ
We're focusing on completing these critical features:
-
Relationship Management
- Entity relationships
- Referential integrity
- Efficient relationship querying
-
Advanced Validation
- Custom validation functions
- Compile-time validation
- Runtime data quality checks
Phase 3: Reactive Query System (Q3 2024)โ
Our next major phase will bring real-time capabilities:
-
Stream-Based Watching
- Real-time query updates
- Efficient change detection
- Query result caching
- Incremental updates
-
Change Notification Pipeline
- Object hashing system
- Batched updates
- Isolate-based propagation
- Memory-efficient diffing
Performance Goals ๐ฏโ
We're committed to maintaining high performance while adding new features:
Operation | Target (100k ops) | Current Status |
---|---|---|
Bulk Insert | 820ms | โ Achieved |
Point Query | 0.8ฮผs | โ Achieved |
Range Query | 4.2ms | โ Achieved |
Encrypted Write | 1.9ms/op | ๐ In Progress |
Change Propagation | 12ms latency | โณ Planned |
Architecture Evolution ๐๏ธโ
Our architecture is designed to scale with your needs:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Dart Application Layer โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ Reactive Query Interface โ โ (Coming Soon)
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ Annotation-Generated โ โ (In Progress)
โ โ DAO Classes โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโ
โ Native Dart Engine Layer โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ LSM-Tree Storage Engine โ โ (โ
Complete)
โ โ โข MemTable โ โ
โ โ โข SSTable Manager โ โ
โ โ โข Background Compactor โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Get Involved ๐คโ
We welcome community participation in shaping QuantaDB's future:
-
Testing & Feedback
- Try out our beta features
- Report issues on GitHub
- Share your use cases
-
Contributions
- Code contributions
- Documentation improvements
- Feature suggestions
-
Community
- Join our discussions
- Share your experiences
- Help others get started
Stay Updated ๐ขโ
To keep track of our progress:
- Watch our GitHub repository
- Follow our blog for updates
- Join our Discussions
Conclusionโ
The roadmap ahead is ambitious but achievable. We're building QuantaDB with a focus on performance, developer experience, and real-world usability. Your feedback and contributions are invaluable in making QuantaDB the best database solution for Dart and Flutter applications.
Stay tuned for more updates as we continue to build the future of Dart databases!
Tushar Nikam
Creator of QuantaDB & Software Engineer @ Gojek