Head-to-head · LLM Application Development Frameworks
Haystack vs Apache Burr
Haystack leads on 0 checks, Apache Burr on 4, and 1 is even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreHaystack · 8.9/10
- Free planonly Apache Burr
- Most featuresApache Burr · 3 of 5
Haystack scores higher on our rubric for llm application development frameworks: 8.9 against 8.8 out of 10; our editors rank them #5 and #6.
Apache Burr offers free plan; Haystack doesn't publish it. Apache Burr offers rag support; Haystack doesn't publish it. Apache Burr offers agent and tool use; Haystack doesn't publish it. Apache Burr offers workflow graphs; Haystack doesn't publish it.
Haystack is the better fit for teams building composable RAG and retrieval pipelines. Apache Burr is the better fit for stateful, inspectable workflow applications.
- Haystack fits best
Teams building composable RAG and retrieval pipelines
- Apache Burr fits best
Stateful, inspectable workflow applications
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Side by side
| Feature | Haystack 8.9/10 Visit ↗ | Apache Burr 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.8 |
| Ranking | #5 in LLM Application Development Frameworks | #6 in LLM Application Development Frameworks |
| Best for | Teams building composable RAG and retrieval pipelines | Stateful, inspectable workflow applications |
| Pricing model | Free | Free |
| Starting price | Not published | Not published |
| Free plan | Not published | ✓ (best) |
| Free trial | — | — |
| Deployment | Self-hosted | Self-hosted |
| Support | Community, Docs | Community, Docs |
| Integrations | 183+ integrations | 15 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Haystack 0/5 · Apache Burr 3/5 | ||
| RAG support | Not published | ✓ (best) |
| Agent and tool use | Not published | ✓ (best) |
| Workflow graphs | Not published | ✓ (best) |
| Prompt optimization | Not published | Not published |
| JavaScript/TypeScript SDK | Not published | — |
| Specs | ||
| Primary language | Not published | Python |
| Open-source license | Not published | Apache-2.0 |
| Our review | ||
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| Our verdict | Haystack is an open-source Python framework for developers building LLM applications, RAG systems, AI agents, multimodal applications, and semantic search pipelines. Its composable components let teams shape retrieval, ranking, generation,… Read the review → |
Apache Burr is an open-source Python framework for building applications from actions, transitions, and explicit state. It is aimed at developers orchestrating chatbots, agents, conversational retrieval workflows, and other applications… Read the review → |
Strengths and trade-offs
Haystack — where it wins
- Combines keyword and embedding search in composable pipelines
- Supports document reranking and answers with referenced documents
- Connects to model providers, vector databases, and monitoring tools
Where it doesn't
- Requires developers to compose and operate their own workflows
- Its feature set is more retrieval-centered than agent-orchestration leaders
- Community and documentation are the listed support channels
Apache Burr — where it wins
- Immutable state, persistence, and resumable human-input pauses
- Parallel actions and branches support complex workflows
- Burr UI exposes execution telemetry for inspection and debugging
Where it doesn't
- Python-focused; no official JavaScript or TypeScript SDK is identified
- Requires developers to implement LLM calls within actions
- Fewer ready-made model integrations and agent capabilities than some alternatives
- Haystack8.9/10 · Open source
A flexible Python framework for retrieval-centered LLM apps, with hybrid search and cited answers.
Visit HaystackFull verdict → - Apache Burr8.8/10 · Free plan
An open-source Python framework for stateful, inspectable workflow applications.
Visit Apache BurrFull verdict →
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All LLM application development frameworks comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update


