Looker
WebsiteLooker is a powerful BI tool that allows data analysts to create interactive dashboards, explore and analyze data from multiple sources with ease, and ensure robust data governance.
Looker vs Amazon Sagemaker:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Amazon Sagemaker
WebsiteAmazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.
Looker
Amazon Sagemaker
Setup
Fully managed (setup in hours)
Fully managed (setup in hours)
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
No, you must use a managed offering
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
SQL
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Provided file storage
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
AWS
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
Reactivity with caveats
No reactivity, you decide the execution order
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Unknown
There is no support for reproducibility
No version history
File-based (use Git)
Multiple editors at the same time
No support for collaborative editors
Comments
Comments
No support for comments
File-based (use GitHub)
Notebook organization
Notebook organization
View notebooks in a list
View notebooks in a list
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay for compute
Free tier
Pay for compute