Glossary>Data Processing & Management>Google Cloud Datalab

Google Cloud Datalab

Google Cloud Datalab is an interactive data analysis and machine learning tool designed to work with Google Cloud Platform services. It provides a Jupyter-based environment for exploring, analyzing, and visualizing data, as well as building and deploying machine learning models.

Howdy Network Rank#18

Top 5*

Data Processing & Management

9.2%AWS S3

8.5%AWS Lambda

5.6%Google Cloud SQL

5.5%Google Cloud Storage Transfer Service

5.3%Google Cloud Pub/Sub

65.9%Others

Show All

*Survey of over 20,000+ Howdy Professionals

Hire Google Cloud Datalab Experts

Work with Howdy to gain access to the top 1% of LatAM Talent.

Share your Needs

Talk requirements with a Howdy Expert.

Choose Talent

We'll provide a list of the best candidates.

Recruit Risk Free

No hidden fees, no upfront costs, start working within 24 hrs.

Hire Now

About Google Cloud Datalab

Google Cloud Datalab was introduced by Google in 2015 as a tool to facilitate data analysis and machine learning tasks on the Google Cloud Platform. It aimed to provide users with a seamless, interactive environment for exploring, analyzing, and visualizing data, leveraging the power of Google's cloud infrastructure.

Strengths of Google Cloud Datalab included its integration with Google Cloud services, ease of use, and support for Jupyter notebooks. Weaknesses involved limited offline capabilities and dependency on GCP infrastructure. Competitors included Jupyter Notebooks, Amazon SageMaker, and Microsoft Azure Notebooks.