Haystack vs Dify
Both are alternatives to Vectara. Here's how they stack up — verified facts, no spin.
Also searched as Dify vs Haystack — same comparison, one verdict.
Haystack
Explicit, testable RAG pipelines from deepset. The production-minded one.
Haystack models a RAG system as an explicit pipeline graph of components, which sounds like bureaucracy until the day retrieval quality drops and you need to know which stage caused it. That explicitness makes pipelines serialisable, testable and reviewable, and it is why Haystack tends to be the choice in teams who treat retrieval as production software rather than as glue. Apache-2.0, maintained by deepset, with strong evaluation tooling built in.
Dify
A self-hostable AI application platform — the closest product-shaped replacement.
Dify is a full LLM application platform you can run yourself: visual workflow builder, RAG pipeline, agent tooling, prompt management and observability behind a web UI. For a team replacing a managed product rather than building from parts, it is the least disruptive landing spot here. One important caveat, and we would rather state it than let you find it in a licence review: Dify ships under Apache-2.0 with additional conditions — notably restrictions around multi-tenant hosting and removing branding — so it is not open source in the unqualified sense the others here are.
Side by side
| Haystack | Dify | |
|---|---|---|
| Sovereignty Score | 92 | 74 |
| Open source | Yes | No |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 with additional conditions |
| Pricing | Free and Apache-2.0; deepset sells a managed enterprise platform on top. | Free to self-host under its modified licence; paid cloud tiers available. |
Haystack edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
Haystack
Strengths
- +Explicit pipeline graph — debuggable and testable by design
- +Pipelines serialise to YAML, so they can be code-reviewed
- +Built-in evaluation for retrieval and answer quality
- +Apache-2.0 with a commercial support path if wanted
Trade-offs
- −More ceremony than LlamaIndex for a quick prototype
- −Smaller connector library than LlamaIndex's
- −Pipeline abstraction takes a while to think in
Dify
Strengths
- +Complete product with a UI — smallest change from a managed platform
- +Visual workflow builder covers RAG, agents and prompt management
- +Self-hostable with Docker Compose
- +Active development and a large user base
Trade-offs
- −Licence carries additional conditions — not unqualified open source
- −Multi-tenant SaaS use is restricted; read the terms before building on it
- −Platform shape means less control than a framework
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Facts verified 2026-08-11. Licenses and pricing change — spotted something out of date? That's a correction we want.