The Best Data Science Platforms in 2026
We researched data science platforms using official websites, including pricing pages, plan tables, and product documentation. Our rankings focus on the category’s core job: developing, running, collaborating on, and operationalizing analytical and machine-learning workflows, with attention to value for money and verified features.
Our top picks
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Top ranked
SAS Viya#1 of 319.3/10A broad analytics and model-operations platform with flexible deployment and sales-led pricing.
Pricing on request · 14-day trial
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Runner-up
Amazon SageMaker AI#2 of 319.2/10A broad AWS-hosted ML workflow for teams developing and operating models.
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Top-ranked free plan
IBM Watson Studio#5 of 318.9/10A collaborative platform for notebook, visual ML and AutoAI workflows.
Free plan
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
The full ranking 31 tools, best first
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Best forEnterprises needing governed analytics and deployment choice
A broad analytics and model-operations platform with flexible deployment and sales-led pricing.
Pricing on request · 14-day trial Our SAS Viya verdict → Visit SAS ViyaFor vendors Sponsor this spot · #1 · $149/mo →9.3/10★★★★★Visit SAS Viya -
Best forTeams building and operating ML on AWS
A broad AWS-hosted ML workflow for teams developing and operating models.
9.2/10★★★★★Visit AWS -
Best forOrganizations standardizing ML on Azure
A broad Azure ML lifecycle platform, with compute costs billed separately.
9.1/10★★★★★Visit Azure ML -
Best forMid-market and enterprise data science teams
A broad suite for teams that need AutoML, model operations, and governance.
9.0/10★★★★☆Visit H2O.ai -
Best forTeams combining notebooks, visual ML and AutoAI
A collaborative platform for notebook, visual ML and AutoAI workflows.
8.9/10★★★★☆Visit IBM -
Best forTeams wanting an affordable, full-lifecycle ML platform
A full-lifecycle cloud ML platform with visual workflows, managed compute, tracking, and serving.
8.9/10★★★★☆Visit Alibaba Cloud -
Best forTeams running end-to-end ML on Oracle Cloud
An end-to-end ML lifecycle platform for teams working in Oracle Cloud.
8.8/10★★★★☆Visit Oracle -
Best forEnterprises focused on automated modeling and governance
Automates modeling and supports deployment, monitoring, and governance for enterprise teams.
8.8/10★★★★☆Visit DataRobot -
Best forEnterprises prioritizing governed, reproducible ML
A governed ML platform spanning model development, deployment, monitoring, and reproducibility.
8.6/10★★★★☆Try Domino Data Lab -
Best forAnalysts who prefer free visual workflows and connectors
A free visual workflow platform with broad connectors, scripting, and optional Hub deployment.
8.5/10★★★★☆Visit KNIME -
Best forAnalysts building predictive and forecasting workflows
Build predictive workflows visually, then extend them with Python or R.
8.4/10★★★★☆Try Altair AI Studio -
Best forEnterprises developing and operating AI services
A lifecycle-oriented AI studio for enterprise teams building and operating AI services.
8.3/10★★★★☆Visit IBM watsonx.ai -
Best forEnterprise teams needing flexible notebook runtimes
Flexible notebook runtimes, scheduled workflows, and model endpoints for enterprise teams.
- Hosted notebooks
- Workflow automation
- Model deployment
8.2/10★★★★☆Visit Cloudera -
Best forTeams doing analysis directly on Snowflake data
A governed notebook workspace for teams developing against Snowflake data.
8.0/10★★★★☆Visit Snowflake -
Best forTeams collaborating in multilingual hosted notebooks
A multilingual notebook workspace for collaborative analysis, reporting, and scheduled runs.
8.0/10★★★★☆Visit Datalore -
Best forTeams collaborating on Python and SQL notebooks
A shared Python and SQL notebook workspace with managed execution, integrations, and version history.
7.9/10★★★★☆Visit Deepnote -
Best forData teams sharing SQL and Python analyses
A collaborative SQL, Python, and R workspace with a free plan and paid team features.
7.8/10★★★★☆Visit Hex -
Best forIndividuals prototyping with hosted GPU notebooks
Hosted Jupyter notebooks pair CPU and GPU compute with model workflows and deployments.
7.7/10★★★★☆Visit Paperspace -
Best forIndividuals and teams building notebook-based workflows
A flexible notebook workspace for interactive coding, exploration, and reproducible documents.
7.7/10★★★★☆Visit JupyterLab -
Best forIndividuals seeking quick, low-cost hosted notebooks
A browser-based notebook service with a free plan and paid options for more compute.
7.6/10★★★★☆Visit Google Colab -
Best forUsers wanting a simple hosted Jupyter workspace
A hosted JupyterLab workspace with a free tier and paid team and security features.
7.5/10★★★★☆Visit Anaconda -
Best forTeams needing hosted notebooks and distributed compute
Hosted notebooks, GPU compute and Dask clusters with usage-based pricing.
7.4/10★★★★☆Visit Saturn Cloud -
Best forTeams running notebooks within Kubeflow clusters
A self-hosted Kubeflow component for configurable notebooks, not a full ML lifecycle platform.
7.3/10★★★★☆Visit Kubeflow -
Best forDevelopers managing local or remote GPU environments
Manage containerized AI projects across local and remote GPUs, with notebooks and Git.
- Version control
7.2/10★★★★☆Visit NVIDIA -
Best forPython users seeking local AI-assisted analysis
Local Python notebooks combine conversational analysis, AutoML and repeatable workflows.
- Workflow automation
- Version control
7.1/10★★★★☆Visit MLJAR Studio -
Best forEnterprises combining data science with agent workflows
Combines data science tooling with configurable agents and event-triggered workflows.
- Hosted notebooks
- Workflow automation
- Model deployment
7.0/10★★★★☆Request a demo -
Best forEnterprise teams focused on model governance and fairness
An enterprise-focused platform for model governance, analysis, deployment, and competitions.
- Model deployment
6.8/10★★★☆☆Request a demo -
Best forSolo users who want a self-hosted notebook workspace
A free, single-user workspace bundling browser-based notebooks, coding, and monitoring.
- Hosted notebooks
- Version control
6.6/10★★★☆☆Visit ML Workspace -
Best forEnterprises analyzing data around virtual twins
No-code exploration and virtual-twin analysis for enterprise data; pricing is sales-led.
6.5/10★★★☆☆Visit site -
Best forFree educational algorithm experiments
A free desktop workbench for comparing data-mining algorithms on local datasets.
6.2/10★★★☆☆Visit KEEL -
Best forImage annotation research projects
A focused research workspace for image annotation and IIIF publishing, not model development.
6.0/10★★★☆☆Visit site
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Score |
|---|---|---|---|---|
| 1 | SAS Viya | No | 9.3 | |
| 2 | Amazon SageMaker AI | No | 9.2 | |
| 3 | Azure Machine Learning | No | 9.1 | |
| 4 | H2O.ai | 9.0 | ||
| 5 | IBM Watson Studio | Yes | 8.9 | |
| 6 | Alibaba Cloud Machine Learning Platform for AI | Yes | $0.06/unit usage-based | 8.9 |
| 7 | Oracle Cloud Infrastructure Data Science | No | 8.8 | |
| 8 | DataRobot | 8.8 | ||
| 9 | Domino Data Lab | No | 8.6 | |
| 10 | KNIME Analytics Platform | Yes | Free | 8.5 |
| 11 | Altair AI Studio | Yes | 8.4 | |
| 12 | IBM watsonx.ai | Yes | $1,110/mo | 8.3 |
| 13 | Cloudera AI Workbench | No | $0.20/unit usage-based | 8.2 |
| 14 | Snowflake Notebooks | 8.0 | ||
| 15 | Datalore | Yes | 8.0 | |
| 16 | Deepnote | Yes | $39/seat/mo | 7.9 |
| 17 | Hex | Yes | $36/user/mo | 7.8 |
| 18 | Paperspace Gradient | Yes | $8/mo | 7.7 |
| 19 | JupyterLab | Yes | Free | 7.7 |
| 20 | Google Colab | Yes | 7.6 | |
| 21 | Anaconda Notebooks | Yes | $15/user/mo | 7.5 |
| 22 | Saturn Cloud | $0.09/unit usage-based | 7.4 | |
| 23 | Kubeflow Notebooks | Free | 7.3 | |
| 24 | NVIDIA AI Workbench | Yes | Free | 7.2 |
| 25 | MLJAR Studio | Yes | $20/mo | 7.1 |
| 26 | C3 Agentic AI Platform | 7.0 | ||
| 27 | Hexagon-ML | 6.8 | ||
| 28 | ML Workspace | Yes | Free | 6.6 |
| 29 | 3DEXPERIENCE Enterprise Data Science | 6.5 | ||
| 30 | KEEL | Yes | Free | 6.2 |
| 31 | Glycerine Workbench | Yes | A$180/yr | 6.0 |
Head-to-head All 15 comparisons →
- SAS Viya vs H2O.ai
- SAS Viya vs Alibaba Cloud Machine Learning Platform for AI
- SAS Viya vs Oracle Cloud Infrastructure Data Science
- Amazon SageMaker AI vs Alibaba Cloud Machine Learning Platform for AI
- Amazon SageMaker AI vs Oracle Cloud Infrastructure Data Science
- Azure Machine Learning vs Alibaba Cloud Machine Learning Platform for AI
- H2O.ai vs IBM Watson Studio
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How we rank data science platforms
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update