Databricks vs Zapier

AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.

AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.

A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.

A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.

Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.

Lakehouse platform for storing, governing, querying and sharing enterprise data.

Zapier Canvas is an AI-powered diagramming tool for mapping business processes and turning the diagram into working automation. Zapier says it uses AI to generate workflows, suggest next steps, and surface insights that help optimise automations and prevent breakages.

Zapier Chatbots is a no-code builder for custom-branded AI chatbots that can be embedded in a website to handle customer interactions. Zapier positions it as a way to scale support and generate leads, with the chatbot able to trigger Zapier workflows off the conversation.

An assistant that works across every Zapier product: asked in plain language to add a field to a table or a step to a Zap, it walks the user through the change or makes it for them.

AI agents that act across the applications Zapier already connects, built and debugged from a prompt with Zapier Copilot.

AI Guardrails by Zapier adds inline AI safety and compliance checks to Zapier workflows. Added as a step to any Zap, Agent or Zapier MCP workflow, it scans content for personally identifiable information, toxic language, prompt injection attempts and negative sentiment, then routes, blocks or escalates based on what it finds.

AI by Zapier is Zapier's built-in tool for adding AI steps to a workflow, powered by the user's choice of model from OpenAI, Anthropic and Google. Users write text prompts to perform tasks such as extracting lead data from unstructured text or answering routing questions inside a Zap.

Zapier SDK gives coding agents and developers authenticated, governed programmatic access to Zapier's app catalogue from code, on behalf of their users. Zapier handles OAuth flows, token management and retries; the SDK ships with a CLI for exploring apps and running actions from the terminal.

The workflow layer Zapier's AI products run on: multi-step Zaps that connect over 9,000 apps and can call AI steps, agents and MCP tools inside a run, built without a developer.