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DuckDB
Polars Workloads on Microsoft Fabric
Polars now ships inside Microsoft Fabric by default. Here's how to use it alongside Fabric's other analytics tools and what that means for your data workflows.
Practical Polars: Code Examples for Everyday Data Tasks
Unlock Python Polars with this hands-on guide featuring practical code examples for data loading, cleaning, transformation, aggregation, and advanced operations that you can apply to your own data analysis projects.
Under the Hood: What Makes Polars So Scalable and Fast?
Polars gets its speed from a strict type system, lazy evaluation, and automatic parallelism. Here's how each piece works under the hood.
Polars: Faster Pipelines, Simpler Infrastructure, Happier Engineers
We've migrated our own IP and several customers from Pandas and Spark to Polars. The benefits go beyond raw speed: faster test suites, lower platform costs, and an API developers actually enjoy using.
DuckLake in Perspective: Advanced Features and Future Implications
Explore DuckLake's advanced capabilities including built-in encryption, sophisticated conflict resolution, and the strategic implications for future data architecture. Understand how DuckLake enables new business models and positions itself against established lakehouse formats.
DuckLake in Practice: Hands-On Tutorial and Core Features
Get hands-on with DuckLake through a comprehensive tutorial covering installation, basic operations, file organization, snapshots, and time travel functionality. Learn how DuckLake's database-backed metadata management works in practice.
Introducing DuckLake: Lakehouse Architecture Reimagined for the Modern Era
DuckDB Labs introduces DuckLake, a revolutionary approach to lakehouse architecture that solves fundamental problems with existing formats by bringing database principles back to data lake metadata management.
DuckDB in Practice: Enterprise Integration and Architectural Patterns
DuckDB comes pre-installed in Microsoft Fabric Python notebooks, so code developed locally deploys straight to production with enterprise monitoring, governance, and OneLake integration.
DuckDB in Depth: How It Works and What Makes It Fast
Dive deep into the technical details of DuckDB, exploring its columnar architecture, vectorized execution, SQL enhancements, and the performance optimizations that make it exceptionally fast on a single machine.
DuckDB: the Rise of In-Process Analytics and Data Singularity
Modern laptops can now handle datasets up to a billion rows, yet 94% of query spending goes on big-data compute that isn't needed. DuckDB brings analytical SQL directly into your process.