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What is Omni?
By integrating both elements, you achieve a superior analytics experience that enhances decision-making across your organization. With a robust model accessible to all, discovering and disseminating key metrics becomes a streamlined process. Setting up Omni is quick, taking only a few minutes, and it begins learning from each interaction, continually improving its performance over time. Our cutting-edge business intelligence solution automatically constructs a model based on your queries and generates metrics that can be easily shared. The intuitive user interface ensures that individuals at any skill level can effortlessly access, investigate, share, and collaborate with the necessary data. Furthermore, Omni allows for the application of specific queries directly to the data model, thereby expanding and enriching your shareable insights. Ultimately, Omni transforms business intelligence from dynamic data exploration into a structured framework that promotes both efficient and precise data utilization, fostering a culture of data-driven decision-making. As a result, organizations can leverage their data more effectively to drive growth and innovation.
What is Google Cloud Datalab?
Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.
Integrations Supported
DataLab
DataPostie
Google Cloud Platform
Google Workspace
Jupyter Notebook
Integrations Supported
DataLab
DataPostie
Google Cloud Platform
Google Workspace
Jupyter Notebook
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Omni
Date Founded
2022
Company Location
United States
Company Website
www.exploreomni.com
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/datalab
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization