Machine Learning & Data Science · head to head
Anaconda vs AWS SageMaker
Anaconda
Machine Learning & Data Science
The world's most popular data science platform
- From
- Free
- Rated
- -
AWS SageMaker
Machine Learning & Data Science
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: Anaconda covers Conda package manager, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which Anaconda and AWS SageMaker actually diverge.
| Attribute | Anaconda | AWS SageMaker |
|---|---|---|
| Platforms | Windows, macOS, Linux, Web/Cloud | Web |
| Founded | 2012 | 2006 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Anaconda
- Conda package manager
- Environment management
- 1500+ packages
- Navigator GUI
- Cross-platform support
- Jupyter
- VS Code
- PyCharm
Only in AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
What people use each for
The jobs each tool is most often brought in to do.
Anaconda
- Machine learning
- Data analysis
- Model training
- Predictive analytics
AWS SageMaker
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anaconda
- Dependency resolution slower than pip due to SAT solver complexity
- Not all PyPI packages available through default Anaconda repository
- Requires paid licenses for organizations with 200+ employees
- Larger disk footprint than minimal Python installations
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
Pricing, plan by plan
Anaconda
Free- FreeFree
- 600+ pre-installed packages
- Anaconda Navigator
- 5GB cloud storage
- Starter$15/month
- 10GB cloud storage per user
- Professional development environment
- Team workspace controls
- Business$50/month
- Automated vulnerability scanning
- Audit trails
- Enterprise SSO
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
Which should you pick?
Choose Anaconda if
- You need conda package manager.
- You want to start without paying.
- You work on Windows, macOS, Linux, Web/Cloud.
- You also want environment management.
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is Anaconda or AWS SageMaker better?
- Neither clearly leads. Anaconda starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anaconda or AWS SageMaker?
- Anaconda starts at Free and AWS SageMaker at Free.
- Does Anaconda or AWS SageMaker run on more platforms?
- Anaconda runs on Windows, macOS, Linux, Web/Cloud. AWS SageMaker runs on Web.
- Can I use Anaconda for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Anaconda best used for?
- Anaconda is most often used for machine learning, data analysis, model training, predictive analytics.
- What can Anaconda do that AWS SageMaker cannot?
- Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.
Answered from the vendors’ own pages
Anaconda: Does Anaconda have a free version?
Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.
SourceAWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
SourceAnaconda: What is the difference between Anaconda Distribution and Miniconda?
Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
SourceAnaconda: Does Anaconda integrate with VS Code?
Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
SourceAnaconda: What platforms does Anaconda support?
Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.
SourceAnaconda: Do all PyPI packages work with Anaconda?
Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.
Source