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Tech riderRev. 7 Oct 2026

Daft

Ch 206.8of 36 Data Transformation Tools
  1. 1Runs onLinux, Mac
  2. 2CostsFree plan
  3. 3Deployment modelself hosted
  4. 4Transformation interfacecode
  5. 5Supported data formatsCSV, JSON, line-delimited JSON, Parquet, Apache Hudi, Apache Iceberg, Delta Lake, Apache Paimon, Lance, text, images, audio, video, PDF documents, JSON and nested data
5 lines stated Written from the maker's own pages: daft.ai
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Overview

Daft is ranked #20 of 36 in data transformation tools on Specifiction. It runs on Linux, macOS. There is a free plan.

Daft plans and pricing

All plans
Daft Free Open-source data engine; free to use daft.ai · 7 Oct 2026

Compared on data transformation tools

Free plan
Yesdaft.ai
Deployment model
self_hosteddaft.ai
Transformation interface
codedaft.ai
Supported data formats
CSV, JSON, line-delimited JSON, Parquet, Apache Hudi, Apache Iceberg, Delta Lake, Apache Paimon, Lance, text, images, audio, video, PDF documents, JSON and nested datadaft.ai

Facts

Purpose
Daft is a high-performance data engine for processing multimodal and structured data in AI workloads.docs.daft.ai · 7 Oct 2026
Data types
Daft processes images, audio, video, text, and structured data through a unified Python API.daft.ai · 7 Oct 2026
AI operations
Built-in AI functions include prompts, text and image embeddings, and zero-shot text and image classification.docs.daft.ai · 7 Oct 2026
Execution
Daft runs locally by default and can scale across multiple machines using Ray or Kubernetes.docs.daft.ai · 7 Oct 2026
Storage integrations
Documented object storage connectors include AWS S3, Azure Blob Storage, Google Cloud Storage, Tencent Cloud COS, and GooseFS.docs.daft.ai · 7 Oct 2026
Table and catalog integrations
Daft documents support for table formats including Hudi, Iceberg, and Delta Lake, and catalogs including AWS Glue and Unity Catalog.docs.daft.ai · 7 Oct 2026
AI providers
Documented AI providers include OpenAI, Hugging Face Transformers, Google, and LM Studio.docs.daft.ai · 7 Oct 2026
Security and privacy
Daft's usage telemetry collects non-identifiable system metadata, not proprietary code or data, and can be disabled with DO_NOT_TRACK=true.docs.daft.ai · 7 Oct 2026
Dashboard security limit
The Daft Dashboard has no built-in authentication, and its documentation advises against exposing it directly to the public internet.docs.daft.ai · 7 Oct 2026
Installation requirement
Daft requires Python 3.10 or higher and can be installed with pip install -U daft.docs.daft.ai · 7 Oct 2026
Support
The documentation directs users to the Distributed Data Slack Community and the #daft-dev channel for contributor guidance.docs.daft.ai · 7 Oct 2026
Intended users
Eventual describes Daft as an open-source engine for engineers processing petabytes of multimodal data.eventual.ai · 7 Oct 2026

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