Daft
An open-source high-performance data engine for AI workloads that processes video, images, audio, and structured metadata using Python DataFrames and SQL, scaling from laptops to distributed clusters.
What it does
An open-source high-performance data engine for AI workloads that processes video, images, audio, and structured metadata using Python DataFrames and SQL, scaling from laptops to distributed clusters.
- A multimodal data processing for AI training datasets
- Distributed data engineering for petabyte-scale workloads
- GPU-accelerated inference and embedding pipelines
- Category
- Data integration and ETL
- Public API
- Not offered
- Deployment
- Self-hosted
Not yet disclosed: platforms, languages and support channels.
Pricing
- Free plan$0
Prices as published by Eventual Inc., checked Oct 2026.
Security and compliance
No security details published yet
Eventual Inc. hasn't published certifications or security practices for Daft that we could find. Ask their team for audit reports.
Reviews
No reviews yet
Reviews come from people who use Daft at work. Share how your team uses it to help other buyers decide.
Alternatives
Aiven for Apache Kafka®
by Aiven
Fully managed Apache Kafka service for building event-driven applications, data pipelines, and stream processing systems.
An open-source platform created by the community to programmatically author, schedule and monitor workflows, featuring a modular architecture, Python-based pipeline definitions,...
The context layer for AI-native CPG brands.
Tray.ai Platform
by Tray.ai
Enterprise orchestration platform for data and AI, unifying AI agents, MCP governance, integration, automation, and AI development.
Connectors
by Confluent
Easily integrate your data ecosystem with over 120 pre-built connectors.
FileFeeds AI
by OneSchema
AI-powered file integrations.
Is this your product?
Claim it to keep details accurate and submit evidence for the next ranking review.
Claim Daft