Average Ratings 0 Ratings
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
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
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
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