Flowise vs. PromptQL Comparison


Flowise Flowise AI	PromptQL Hasura	+	+
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About Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.	About PromptQL is an enterprise-grade AI platform that builds reasoning models with near-perfect accuracy, tailored to each organization’s unique context. Unlike generic AI tools, PromptQL learns your business rules, tacit knowledge, and internal language to act like a trusted analyst or engineer. It empowers companies to deploy specialized AI that not only delivers correct answers but also signals confidence levels and learns continuously from feedback. Within 14 days, enterprises can go from setup to real-world rollout, unlocking measurable results faster than traditional AI deployments. Used by Fortune 100 companies and global enterprises, PromptQL consistently outperforms warehouse-native AI solutions in accuracy and reliability. Designed for adoption, not obsolescence, PromptQL enables organizations to build AI that truly understands their business.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers, AI engineers, and businesses looking to visually build and deploy AI agents, chatbots, and LLM-powered applications with flexible integrations and scalable infrastructure	Audience Enterprises, data teams, and technology leaders seeking high-accuracy, self-learning AI for analytics, automation, and decision-making across complex, real-world business environments
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Flowise is great because it makes AI workflow building feel much more tangible. Instead of writing every integration from scratch, you can visually connect models, tools, retrieval, memory, and agent steps on a canvas. I like that it is open source and still developer-friendly. You can move fast with the visual builder, but you are not completely trapped in a black box because Flowise also offers API, CLI, SDK, and deployment options. The agent and chatbot use cases are especially strong. Flowise works well for building RAG apps, internal AI assistants, support bots, multi-step workflows, and prototypes that need to become real products. Cons Flowise still needs careful setup if you are putting it into production. Visual builders make things easier, but they do not remove the need for testing, monitoring, permissions, version control, and security.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported
Company Information Flowise AI Founded: 2023 United States flowiseai.com	Company Information Hasura United States promptql.io
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Categories Agentic AI Supported Agentic Orchestration Supported Agentic Process Automation Supported AI Agent Builders Supported AI Agent Infrastructure Supported AI Agents Supported AI Development Supported AI Orchestration Supported Context Engineering Supported	Categories Agentic AI Supported AI Agent Builders Supported AI Agents Supported AI Data Analytics Supported AI Development Supported

Integrations GitHub Supported Activepieces Supported Axis LMS Supported Claude Fable 5.5 Supported Claude Haiku 5.5 Supported Claude Mythos 5 Supported Claude Mythos 5.1 Supported Claude Opus 5 Supported Digie Sync Supported ElectroNeek Supported GPT-5.4 mini Supported GPT-5.4 nano Supported GPT-5.5 Supported GPT-6 Astra Supported GPT-6 Sol Supported Hasura Not Supported JavaScript Supported Mazaal AI Supported Node.js Supported Workers by Delos Supported Show More Integrations View All 60 Integrations	Integrations GitHub Supported Activepieces Not Supported Axis LMS Not Supported Claude Fable 5.5 Not Supported Claude Haiku 5.5 Not Supported Claude Mythos 5 Not Supported Claude Mythos 5.1 Not Supported Claude Opus 5 Not Supported Digie Sync Not Supported ElectroNeek Not Supported GPT-5.4 mini Not Supported GPT-5.4 nano Not Supported GPT-5.5 Not Supported GPT-6 Astra Not Supported GPT-6 Sol Not Supported Hasura Supported JavaScript Not Supported Mazaal AI Not Supported Node.js Not Supported Workers by Delos Not Supported Show More Integrations View All 5 Integrations
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