DataRobot is a machine learning platform that helps organizations build and deploy machine learning models.
Contact for pricing
Best Amazon SageMaker Canvas Alternatives ranked by AI · updated Sep 2026
Amazon SageMaker Canvas is a visual machine-learning workspace for preparing data, training models, and generating predictions without writing code. It targets analysts and business teams that need access to AWS data and production ML services.
Top 6 Amazon SageMaker Canvas alternatives
Akkio is a no-code AI analytics platform for preparing data, building predictive models, and creating business insights. It targets marketing, sales, and...
Pros
- Adds predictive modeling and forecasting beyond basic question answering
- No-code workflows are accessible to business teams
- Useful for marketing and sales data with repeatable pipelines
Cons
- More specialized toward predictive analytics than general exploration
- Can be more expensive than lightweight conversational tools
- Model quality depends heavily on data preparation and source quality
From $49/mo
3
No Code AI Model Builder
Microsoft
AI Builder is a low-code service in Microsoft Power Platform for creating and using AI models in business workflows and applications. It...
Pros
- Integrates directly with Power Apps, Power Automate, and Dataverse
- Provides prebuilt models for documents, invoices, receipts, and text
- Supports custom models without requiring Python or machine-learning infrastructure
Cons
- More expensive and complex than standalone no-code tools for small teams
- Usage depends on AI Builder capacity and Power Platform licensing
- Advanced model customization is more limited than in cloud ML platforms
Paid; pricing varies by Power Platform plan and AI Builder capacity
4
Google
Google Vertex AI
Google Vertex AI is a managed platform for developing, deploying, and monitoring machine learning and generative AI applications. It combines notebooks, pipelines,...
Pros
- Strongest fit for Google Cloud data, TensorFlow, and generative AI services
- Integrated access to Google foundation models and model tooling
- Good managed pipelines, feature management, and model monitoring
Cons
- Broader generative AI surface can make the product complex
- Costs vary significantly by model, region, and infrastructure choice
- Some workflows are more opinionated than Oracle Data Science
Usage-based; pay for compute, storage, and AI services
5
Obviously AI
Obviously AI
Obviously AI is a no-code predictive analytics platform for creating forecasts and classification models from tabular business data. It is aimed at...
Pros
- Lower technical barrier than traditional data-science platforms
- Well suited to quick tabular-data experiments and business predictions
- More approachable for small teams than enterprise platforms such as DataRobot
Cons
- Fewer advanced governance and deployment features than DataRobot
- Less extensible than KNIME or H2O.ai for technical teams
- May provide less forecasting specialization than a dedicated nowPredict workflow
Custom pricing
6
Google
Teachable Machine
Teachable Machine is a browser-based tool for training simple image, sound, and pose classification models without coding. It is intended primarily for...
Pros
- Much faster to start with than MakeML for simple classification projects
- Free and entirely browser-based
- Supports image, audio, and pose examples in one interface
Cons
- Does not provide MakeML-level object detection workflows
- Offers limited dataset management and model evaluation controls
- Less appropriate for production-scale training or deployment
How good are these alternatives?
Your feedback helps us improve the AI rankings.
✅ Thanks for your feedback!
Know a better alternative? 🙌
Suggest a product and our AI will verify it's a real alternative to Amazon SageMaker Canvas before adding it to the list.