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Average Ratings 0 Ratings

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ease
features
design
support

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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

Leverage the internet as a source of information to gain an advantage over your rivals. Join the ranks of businesses that have started to surpass their competition by exploring “alternative” data found online. Monitor company activities in unprecedented ways, as alternative datasets unveil strategic shifts within organizations. Keep an eye on when companies are hiring or laying off staff, engaging with clients, distributing products, and tracking countless other metrics that indicate overall performance. Those managing investments can make more informed choices with Thinknum Alternative Data at their disposal. Investors and analysts can extract actionable insights by closely monitoring corporate performance trends. With user-friendly software, deriving insights becomes a swift process, allowing for rapid queries without the need for technical expertise. You can now construct and share queries effortlessly using intuitive tools designed for ease of use. Analyze data visually for immediate comprehension through access to pre-built maps, charts, word clouds, and sophisticated visual representations. Additionally, set up alerts to stay informed on key changes and developments. This way, you can remain proactive in your strategies and decisions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

BattleFin Ensemble No 
DataLab Yes 
Google Cloud Platform Yes 
Google Workspace Yes 
Jupyter Notebook Yes 

Integrations

BattleFin Ensemble Yes 
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

$16800 per user, per year
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 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 Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/datalab

Vendor Details

Company Name

Thinknum Alternative Data

Founded

2014

Country

United States

Website

www.thinknum.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 Analysis

Data Discovery Yes 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Market Research

Benchmarking Yes 
Compensation Management No 
Data Management No 
Email / Online No 
Face-to-Face No 
Panel Management No 
Paper-Based No 
Phone-Based No 
Sample Management No 
Statistical Analysis No 
Survey Management No 

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Alternatives

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