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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 Lentiq?

Lentiq provides a collaborative data lake service that empowers small teams to achieve remarkable outcomes. This platform enables users to quickly perform data science, machine learning, and data analysis on their preferred cloud infrastructure. With Lentiq, teams can easily ingest data in real-time, process and cleanse it, and share their insights with minimal effort. Additionally, it supports the creation, training, and internal sharing of models, fostering an environment where data teams can innovate and collaborate without constraints. Data lakes are adaptable environments for storage and processing, featuring capabilities like machine learning, ETL, and schema-on-read querying. For those exploring the field of data science, leveraging a data lake is crucial for success. In an era defined by the decline of large, centralized data lakes post-Hadoop, Lentiq introduces a novel concept of data pools—interconnected mini-data lakes spanning various clouds—that function together to create a secure, stable, and efficient platform for data science activities. This fresh approach significantly boosts the agility and productivity of data-driven initiatives, making it an essential tool for modern data teams. By embracing this innovative model, organizations can stay ahead in the ever-evolving landscape of data management.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Athena Archiver
Collibra
Hadoop
Looker
Microsoft Power BI
Oracle Cloud Infrastructure
PostgreSQL
SQL Server
Salesforce
Snowflake
Starburst Enterprise
Strategy ONE
Tableau
ThoughtSpot

Integrations Supported

Amazon Web Services (AWS)
Athena Archiver
Collibra
Hadoop
Looker
Microsoft Power BI
Oracle Cloud Infrastructure
PostgreSQL
SQL Server
Salesforce
Snowflake
Starburst Enterprise
Strategy ONE
Tableau
ThoughtSpot

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

Promethium

Date Founded

2018

Company Location

United States

Company Website

www.pm61data.com

Company Facts

Organization Name

Lentiq

Date Founded

2019

Company Location

United States

Company Website

lentiq.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

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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