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What is Noteable?

Crafted by seasoned professionals in the industry, our platform has been rigorously tested at some of the world's largest technology companies. It facilitates the connection of your workforce and data seamlessly, allowing every employee to access critical information. By phasing out legacy on-premises infrastructure, organizations can significantly lower costs while enhancing their data team's efficiency. Our longstanding involvement with open-source initiatives and technical communities underscores our commitment to fostering collaboration. We believe in the vibrant exchange of ideas and the collective energy that arises when passionate individuals unite for shared objectives. At Noteable, we are dedicated to enriching technical communities and making meaningful contributions to open-source projects whenever feasible. As your comprehensive data platform, Noteable revolutionizes the collaborative efforts of data teams, ensuring secure and cooperative interactions among users. Whether you choose a multi-tenant cloud environment or a single-tenant virtual private cluster, you maintain full authority over your infrastructure’s location, network configuration, and other essential parameters. Ultimately, you define all operational guidelines for your cloud solution, ensuring it meets your specific needs. This level of control empowers organizations to tailor their data strategies effectively while optimizing performance.

What is DataWalk?

DataWalk's enterprise-grade intelligence analysis platform enables users to swiftly derive actionable insights from vast and varied datasets, both external and internal. By integrating all of your internal databases, spreadsheets, and public records with social media data, DataWalk creates a comprehensive intelligence database. This database centers around pertinent concepts such as individuals, criminal activities, and significant events rather than being limited to specific systems or sources. The platform's scalability is remarkable; simply adding more servers to a DataWalk cluster accommodates increasing data volumes with ease. Users can conveniently access all their data in one centralized location through a user-friendly web interface, facilitating collaboration in investigations for both office staff and field teams. Moreover, analysts benefit from an extensive array of tools and functionalities designed for advanced intelligence analysis. Ultimately, DataWalk empowers organizations to make well-informed decisions based on thorough data insights.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
KeyMate.AI
PostgreSQL
Presto
Snowflake

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free for individuals
Contact Sales to discuss pricing for Teams and Organizations.
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Android
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Noteable

Date Founded

2020

Company Location

United States

Company Website

noteable.io

Company Facts

Organization Name

DataWalk

Date Founded

2016

Company Location

United States

Company Website

datawalk.com

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Visual Analytics

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

Categories and Features

Data Analysis

Not specified

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
Relational Display
Simulation Models
Visual Discovery

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