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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

The Thinkmap SDK allows businesses to integrate data-focused visualization capabilities into their web-based applications. By using Thinkmap, users can interpret intricate information in ways that standard interfaces cannot facilitate. Version 2.8 of the Thinkmap SDK provides a collection of pre-configured solutions for frequent visualization challenges alongside innovative methods for tailoring data presentations. Our design philosophy prioritizes a lightweight structure, rapid performance, easy extensibility, and the ability to connect effortlessly with a diverse range of data sources. In addition, the SDK offers comprehensive documentation and an extensive JavaScript reference for its Visualization Component, adapters for various data sources including relational databases and flat files, a selection of traditional UI components for Thinkmap applications, and a thorough array of examples to assist developers in swiftly launching their projects. This comprehensive toolkit ensures that developers have everything they need to create impactful visualizations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

DataLab Yes 
Google Cloud Platform Yes 
Google Workspace Yes 
Jupyter Notebook Yes 

Integrations

DataLab No 
Google Cloud Platform No 
Google Workspace No 
Jupyter Notebook No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
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) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/datalab

Vendor Details

Company Name

Thinkmap

Website

www.thinkmap.com

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 Visualization

Analytics Yes 
Content Management Yes 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP No 
Relational Display Yes 
Simulation Models No 
Visual Discovery Yes 

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