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Average Ratings 0 Ratings
Description
Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.
Description
VPC Service Controls provide a managed networking capability for your resources within Google Cloud. New users are offered $300 in complimentary credits to use on Google Cloud within their first 90 days of service. Additionally, all users can access certain products like BigQuery and Compute Engine at no cost, within specified monthly limits. By isolating multi-tenant services, you can significantly reduce the risks associated with data exfiltration. It is crucial to ensure that sensitive information is accessible solely from authorized networks. You can further restrict access to resources based on permitted IP addresses, specific identities, and trusted client devices. VPC Service Controls also allow you to define which Google Cloud services can be accessed from a given VPC network. By enforcing a security perimeter through these controls, you can effectively isolate resources involved in multi-tenant Google Cloud services, thereby minimizing the likelihood of data breaches or unauthorized data access. Furthermore, you can set up private communication between cloud resources, facilitating hybrid deployments that connect cloud and on-premises environments seamlessly. Leverage fully managed solutions such as Cloud Storage, Bigtable, and BigQuery to enhance your cloud experience and streamline operations. These tools can significantly improve efficiency and productivity in managing your cloud resources.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Google Cloud Platform
Yes
Amazon S3
No
Amazon Web Services (AWS)
No
Beats
No
Coralogix
No
DataLab
Yes
Google Cloud BigQuery
No
Google Cloud Bigtable
No
Google Cloud Storage
No
Google Workspace
Yes
Integrations
Google Cloud Platform
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Beats
Yes
Coralogix
Yes
DataLab
No
Google Cloud BigQuery
Yes
Google Cloud Bigtable
Yes
Google Cloud Storage
Yes
Google Workspace
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/datalab
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/vpc-service-controls/
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No