I Built a Database That Never Forgets — Here's Why
📰 Dev.to · Will badr
Learn how to build a bitemporal ledger database that preserves history, with a read time of 276ns, using Rust
Action Steps
- Design a bitemporal data model to store historical data
- Implement a ledger-based database architecture using Rust
- Optimize database reads using indexing and caching techniques
- Test and benchmark database performance using tools like Benchmarking libraries
- Apply bitemporal querying techniques to retrieve historical data
Who Needs to Know This
Database architects and developers can benefit from this article to design and implement a database that retains historical data, improving data analysis and auditing capabilities
Key Insight
💡 Bitemporal databases can preserve historical data, enabling improved data analysis and auditing capabilities
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🚀 Built a database that never forgets! 📚 TensorDB, a Rust bitemporal ledger database, achieves 276ns reads 🚀
Key Takeaways
Learn how to build a bitemporal ledger database that preserves history, with a read time of 276ns, using Rust
Full Article
Most databases destroy history every time you UPDATE a row. I built one that doesn't. Here's the architecture behind TensorDB, a Rust bitemporal ledger database with 276ns reads.
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