Flowise vs AgentOps vs Oracle AI Database 26ai
Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.
 Flowiseby FlowiseAIRemove Flowise from this comparison |  AgentOpsby AgentOpsRemove AgentOps from this comparison |  Oracle AI Database 26aiby OracleRemove Oracle AI Database 26ai from this comparison | |
|---|---|---|---|
| Sets it apart |
| — |
|
| What it is | Open-source drag-and-drop UI for building LLM flows and AI agents. Deploy as a self-hosted server with REST API for integrating chains and agent workflows into apps. | Observability platform purpose-built for AI agents. Track agent sessions, LLM calls, tool use, and costs. Integrates with LangChain, CrewAI, AutoGen, and OpenAI. | World's first AI-native database with agents running inside the kernel. Features no-code Agent Factory, unified vector search, multi-modal RAG, and identity-aware access control. |
| Provider | FlowiseAI | AgentOps | Oracle |
| Official vendor | Flowise | Not an official listing | Oracle |
| Verified | YesSame for all | ||
| Access | API | API | API, MCP, CLI |
| Auth | API Key | API Key | OAuth 2.0 |
| MCP server | No MCP server | No MCP server | In its setup guide |
| CLI install | No CLI | No CLI | In its docs |
| API base URL | In its docsSame for all | ||
| Skills | Drag-Drop Builder, REST Export, Tool Agents, Self-Hostable, Vector Stores & Embeddings | Record full agent sessions including every LLM call, tool use, and state transition, Track token usage and costs per agent run across all major LLM providers, Monitor tool execution timing and failures to diagnose agent bottlenecks, Replay any agent session step-by-step for debugging and root cause analysis, Integrate with LangChain, CrewAI, AutoGen, and OpenAI SDK in two lines of code | Execute AI agents inside the database kernel, co-located with data for sub-millisecond decision latency, Build production-ready agents visually with no-code Agent Factory — drag-and-drop tools, prompts, and data connectors, Query structured and unstructured data with unified vector search for multi-modal Retrieval Augmented Generation, Run multi-modal RAG pipelines over text, images, and documents stored natively in the database, Enforce identity-aware access control so each agent only operates on explicitly authorized data sets |
| Streaming | Yes | No | Yes |
| Push notifications | No | No | Yes |
| Categories | Infrastructure & Ops, Orchestration | Infrastructure & Ops | Infrastructure & Ops |
| Tags | visual-builder, open-source, llm-flows, self-hosted, no-code, agent-builder | observability, monitoring, llm-tracing, agent-debugging, langchain, crewai, python | in-database-ai, agent-factory, vector-search, enterprise-database, multi-modal-rag, oracle, no-code-agents, autonomous-database |
| Listed since | Apr 13, 2026 | Apr 8, 2026 | Mar 31, 2026 |
| Use it now | |||
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