Vertex AI is a bare-bones analytics environment in Google Cloud.
Google Colab is a low barrier option to run Python scripts.
Datalore is a collaborative data science platform. The notebook experience has been taken to the next level.
The online Python worskpace Datalore has three main models for pricing and licensing.
Data Science platforms can be categorized to a few different buckets:
Various kinds of teams from business innovation to academic research can benefit from data science platforms.
Let’s go through the most typical use cases and their benefits to start using a data science platform.
Comprehensive list of data science platforms. Sometimes known also as machine learning platforms, ai platforms or DSML platforms.
Robust MLOps platform for end-to-end solutions.
For technically advanced teams looking for flexible Kubernetes deployments.
Specific use cases with fully managed low code.
Log experiments and ML models versions from any environment.
Paperspace Gradient machine learning platform is best known from extensive GPU support.
Saturn Cloud is a greate choice for data science teams who want to maximize flexibility of their environment.
Datalore is a fairly recent online platform for advanced data analytics.
Bodo is a platform for data processing with Python and SQL.
Some Google materials refer to it as Fully managed Tensorflow.
Google Colab, Databricks Community Edition, Visual Studio Code and Dcoker are some options to create a free data science workspace.
Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.
What is a machine learning platform? Introducing different components such as workbench, MLOps tools and cloud computation.