Databricks Mosaic AI vs Dify

Databricks Mosaic AI8.5Visit Dify8.3Visit

Higher score Databricks Mosaic AI #5 in Ai Development Tools 8.5/10 14-day trial Free trial✓ 0 of 3 features Visit Databricks

vs

Dify #7 in Ai Development Tools 8.3/10 Free plan Free plan✓ 0 of 3 features Visit Dify

• Databricks Mosaic AI fits best

  Teams operationalizing ML models and workflows

• Dify fits best

  Teams building visual LLM apps and RAG workflows

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Side by side

Feature	Databricks Mosaic AI 8.5/10 Visit ↗	Dify 8.3/10 Visit ↗
At a glance
Editor score	8.5	8.3
Ranking	#5 in Ai Development Tools	#7 in Ai Development Tools
Best for	Teams operationalizing ML models and workflows	Teams building visual LLM apps and RAG workflows
Pricing model	Paid	Free plan + paid
Starting price	—	—
Free plan	Not checked yet	✓ (best)
Free trial	14 days	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Email, Community, Docs
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Databricks Mosaic AI 0/3 · Dify 0/3
API access	Not checked yet	Not checked yet
Agent workflows	Not checked yet	Not checked yet
Code generation	Not checked yet	Not checked yet
Specs
Model access	Not checked yet	Not checked yet
Deployment targets	Not checked yet	Not checked yet
Monthly AI credits	Not checked yet	Not checked yet
Our review
Pros	MLflow tracking and Unity Catalog model registry centralize model lifecycle work Scalable REST serving supports both batch and real-time inference Lakeflow Jobs, managed compute, and monitoring cover production workflows	Visual workflows combine agents, retrieval, tools, code, and human review. Publish apps as web apps, APIs, or MCP-compatible workflow tools. Cloud and self-hosted options, with an ecosystem of 260 integrations.
Cons	Cloud-only deployment excludes on-premises environments Usage-based billing can make costs harder to forecast Documentation-based support places more responsibility on internal expertise	Sandbox is limited to 200 message credits and one team member. Professional starts at $59 per workspace monthly; larger teams need Team. Voice agents depend on a Marketplace extension, not a core channel.
Our verdict	Databricks Mosaic AI is a cloud-based platform for developing, deploying, monitoring, and governing machine-learning and generative-AI applications. It targets organizations and technical teams building production AI systems across… Read the review →	Dify is an open-source platform for building, deploying, and managing AI applications, agent workflows, and RAG-powered systems. Its visual workflow canvas is aimed at developers and teams that want to connect model calls, knowledge… Read the review →

Strengths and trade-offs

• Databricks Mosaic AI — where it wins

  • MLflow tracking and Unity Catalog model registry centralize model lifecycle work
  • Scalable REST serving supports both batch and real-time inference
  • Lakeflow Jobs, managed compute, and monitoring cover production workflows

  Where it doesn't

  • Cloud-only deployment excludes on-premises environments
  • Usage-based billing can make costs harder to forecast
  • Documentation-based support places more responsibility on internal expertise

• Dify — where it wins

  • Visual workflows combine agents, retrieval, tools, code, and human review.
  • Publish apps as web apps, APIs, or MCP-compatible workflow tools.
  • Cloud and self-hosted options, with an ecosystem of 260 integrations.

  Where it doesn't

  • Sandbox is limited to 200 message credits and one team member.
  • Professional starts at $59 per workspace monthly; larger teams need Team.
  • Voice agents depend on a Marketplace extension, not a core channel.

• Databricks Mosaic AI8.5/10 · 14-day trial

  Broad cloud platform for tracking, serving, orchestrating, and monitoring ML systems.

  Visit DatabricksFull verdict →
• Dify8.3/10 · Free plan

  A visual builder for LLM apps and RAG, with cloud and self-hosted deployment.

  Visit DifyFull verdict →