Haystack vs Pathway Live Data Framework
Haystack
haystack.deepset.aiPathway Live Data Framework
pathway.comSide by side
| Figure | Haystack | Pathway Live Data Framework |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · LLM Application Development Frameworks | 8.2 (#7) | 7.5 (#13) |
| Spec score · Retrieval-Augmented Generation Tools | 8.2 (#10) | 7.6 (#18) |
| Deployment | Pipelines can be served as REST APIs or MCP servers with Hayhooks and run on your own infrastructure. | Pathway supports deployment with Docker or Kubernetes and is compatible with OpenTelemetry. |
| Headquarters | Berlin, Germany | Palo Alto, California, USA |
| Integrations | The integrations directory lists 189 integrations, including model providers, vector databases, monitoring tools, and community-built components. | The documentation says Pathway includes 350+ connectors, including SharePoint, and lets users implement their own connectors. |
Plans
Haystack
- Haystack Open Source FrameworkFree
- Haystack Enterprise PlatformPriced on request
Pathway Live Data Framework
- CommunityFree
- ScaleFree
- EnterprisePriced on request
In their own words
Haystack
Haystack is an open-source AI orchestration framework for developers building agents, multimodal applications, advanced retrieval-augmented generation systems and scalable search. Applications are assembled as modular pipelines from components such as retrievers, routers, memory layers, tools, evaluators and generators. Pipelines can run on users’ own infrastructure and be served as REST APIs or MCP servers with Hayhooks. The integrations directory lists 189 options across model providers, vector databases, monitoring tools and community components, including OpenAI, Anthropic, Amazon Bedrock, Elasticsearch, Pinecone and Datadog. A separate Enterprise Platform adds a visual pipeline builder, debugging, templates, indexing, a playground, prompt exploration, deployment and monitoring tools. It can run in managed cloud or self-hosted infrastructure and exposes a REST API. Listed enterprise security and compliance provisions include SOC 2 Type II, ISO 27001, GDPR, HIPAA, CSA Star Level 1, RBAC, audit logs, traces, guardrails and SSO. A free platform trial is available by form request and includes cloud infrastructure for prototypes.
Pathway Live Data Framework
Pathway Live Data Framework is a Python framework for building analytics and AI pipelines across stored data and live streams. One pipeline can handle batch processing or streaming ETL, while Differential Dataflow updates results when events arrive out of order. Its Rust processing engine runs Python with multithreading and multiprocessing. AI tooling covers online machine learning, retrieval-augmented generation pipelines, and vector indexes for current data. Documentation lists more than 350 connectors, including SharePoint, and allows custom connectors. Python and SQL programming APIs are available, along with a REST endpoint for serving queries, answers, and real-time features. Deployments can use Docker or Kubernetes and work with OpenTelemetry. Pathway can preserve computation state for recovery. Community is free, self-hosted, and limited to 8 GB RAM and four cores; Scale is free or paid with a license key.