Dify vs Haystack Enterprise Platform

Dify is an open-source platform for building AI applications with agentic workflows, retrieval pipelines, model management, observability, and tools. Workflow Studio provides a visual canvas for model calls, knowledge retrieval, tools, code, branching, triggers, and human review. Workflows can start from user input, API calls, schedules, webhooks, plugin events, or uploaded payloads. Knowledge Pipeline turns files, online documents, drives, crawlers, and web content into searchable knowledge bases with metadata and citations. Retrieval supports semantic, keyword, hybrid, and reranked methods with metadata filters. Applications can be published as hosted web apps, website embeds, API endpoints, or MCP servers. Dify connects to providers including OpenAI, Anthropic, Google Gemini, and xAI, while its Marketplace lists more than 200 tools. Community Edition is self-hostable with Docker; Enterprise can run in a customer VPC, on-premises, or an air-gapped network. Sandbox and Community are free. Professional costs $590 a year per workspace; Team costs $1,590 a year per workspace.

Haystack Enterprise Platform is an operational layer for building, evaluating, deploying and governing production AI agents and applications. Teams can assemble and debug agents and retrieval-augmented generation (RAG) pipelines using a visual builder, templates, custom components and retrieval and memory settings. The Playground and Prompt Explorer support comparisons of prompts, retrieval strategies and agent workflows, as well as prototype sharing and feedback. Deployment options include deepset-managed cloud or self-hosting, with serverless autoscaling and a REST API. Governance tools include role-based access, run history, traces, performance monitoring, usage reports and guardrails. The platform lists SOC 2 Type II and ISO 27001 certifications, GDPR and HIPAA compliance, SSO, audit logs, CSA Star Level 1 and pipeline isolation. Listed model integrations include Anthropic, OpenAI, Mistral, Cohere, Gemini and custom models; data-store integrations include PostgreSQL, Snowflake, Qdrant, Weaviate and Pinecone. Pipelines can be exported as Python or YAML, and models and providers can be changed without rewriting code. Studio is free with stated limits; Enterprise pricing is custom and requires contacting deepset.