Flowise vs Pathway Live Data Framework
Flowise
flowiseai.comPathway Live Data Framework
pathway.comSide by side
| Figure | Flowise | Pathway Live Data Framework |
|---|---|---|
| Price from | $35/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · LLM Application Development Frameworks | 8.4 (#3) | 7.5 (#13) |
| Spec score · Retrieval-Augmented Generation Tools | 8.5 (#6) | 7.6 (#18) |
| Deployment | The product site describes cloud and on-premises deployment, while the repository provides npm and Docker installation instructions and self-host deployment options. | Pathway supports deployment with Docker or Kubernetes and is compatible with OpenTelemetry. |
| Integrations | Flowise documentation says it connects to 100+ sources, tools, vector databases, and memories, and lists LangChain, LlamaIndex, and Zapier Zaps integrations. | The documentation says Pathway includes 350+ connectors, including SharePoint, and lets users implement their own connectors. |
Plans
Pathway Live Data Framework
- CommunityFree
- ScaleFree
- EnterprisePriced on request
In their own words
Flowise
Flowise is an open source platform for building generative AI agents and large language model workflows. Its Assistant, Chatflow, and Agentflow visual builders cover assistants, chatbots, single- and multi-agent systems, and workflow orchestration. Listed capabilities include execution logs, visual debugging, evaluations, human review, and retrieval-augmented generation indexing pipelines. Documentation describes connections to more than 100 sources, tools, vector databases, and memories, including LangChain, LlamaIndex, and Zapier Zaps. Developers can use APIs, an embedded chat widget, and TypeScript or Python SDKs. Deployment options include cloud and on-premises setups, as well as self-hosting through npm or Docker. Listed security controls include role-based access, single sign-on, encrypted credentials, secret managers, rate limiting, and restricted domains. The project is winding down: active feature development ceased July 29, 2026; repository archival is listed for August 10; and end of life is August 31, 2026. Source code remains under Apache 2.0. Free costs nothing; Starter costs $35 a month.
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.