Welcome to the Daft blog
Join us as we explore innovative ways to handle multimodal datasets, optimize performance, and simplify your data workflows.
Daft OSS: New Governance Model
Today, we're introducing updates to the Daft OSS governance model defining new roles for contributors and maintainers with expanded permissions.
Introducing Flotilla: Simplifying Multimodal Data Processing at Scale
Flotilla, Daft's new distributed engine, processes terabytes of multimodal data in a single query up to 18x faster than Spark and Ray Data, while running efficiently, reliably, and without manual tuning.
Multimodal Data Processing Goes Global
Daft Community is expanding to China, bridging the gap between English documentation and Chinese innovation cycles, in partnership with Bytedance Team
Eventual Raises $30M to Build the Future of Data Processing
We've raised $30M to build generational technology for simple, reliable, and performant data processing across all modalities and regardless of scale.
From v0.2 to v0.3: Harder, Better, Faster, Stronger
Join us on the journey from Daft v0.2 to v0.3! Daft v0.3 was released last month, marking the first minor version increment in almost 10 months.
Announcing Daft 0.2: 10x faster IO from S3
Daft 0.2 introduces a redesigned IO layer with 10x faster S3 reads and noticeable speedups across data loading, compute, and end-to-end workflows.
Introducing Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
Discover how Daft accelerates multimodal data processing with a high-performance distributed dataframe engine built for modern AI and analytics tasks.
