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Ratings and Reviews 0 Ratings
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What is Promethium?
Promethium equips data and analytics teams with the tools to boost their productivity, ensuring they can adapt to the ever-increasing data volumes and the shifting requirements of the market. Simply establishing a connection to a data warehouse or lake for raw data access is insufficient for meeting contemporary standards. The task of refining datasets entails substantial effort from data teams, which are not growing at the same rate as the surge in data or the demand for insights. By utilizing Promethium, overburdened data teams can refine their workflows, resulting in quicker turnaround times. The platform significantly reduces the dependency on traditional ETL processes, allowing for immediate access to data in its original context. This decrease in data movement not only saves time but also reduces expenses. With Promethium, a single user can achieve in a few minutes what typically would take a team several months and a multitude of tools to complete. Users can easily connect and organize data sources, as well as generate and query cross-source datasets with just a few clicks, all without needing to write any code. This remarkable reduction in custom code and ETL processes facilitates real-time validation of data accuracy, thus eliminating the delays usually tied to lengthy ETL operations. Furthermore, the capability to share finalized work instantly cultivates a culture of reuse, negating the necessity for redundant analyses. These functionalities not only simplify processes but also significantly improve collaboration among team members, enhancing overall productivity and innovation.
What is Deepnote?
Deepnote is creating an exceptional data science notebook designed specifically for collaborative teams. You can seamlessly connect to your data, delve into analysis, and collaborate in real time while benefiting from version control. Additionally, you can easily share project links with fellow analysts and data scientists or showcase your refined notebooks to stakeholders and end users. This entire experience is facilitated through a robust, cloud-based user interface that operates directly in your browser, making it accessible and efficient for all. Ultimately, Deepnote aims to enhance productivity and streamline the data science workflow within teams.
Integrations Supported
PostgreSQL
Snowflake
Amazon Athena
Amazon Redshift
Amazon S3
Athena Archiver
Docker
Dropbox
Google Cloud BigQuery
MySQL
Integrations Supported
PostgreSQL
Snowflake
Amazon Athena
Amazon Redshift
Amazon S3
Athena Archiver
Docker
Dropbox
Google Cloud BigQuery
MySQL
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
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
Promethium
Date Founded
2018
Company Location
United States
Company Website
www.pm61data.com
Company Facts
Organization Name
Deepnote
Date Founded
2019
Company Location
United States
Company Website
deepnote.com
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
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