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What is Prosperoware CAM?

CAM tackles the challenges posed by various collaboration platforms, reducing risks and costs while streamlining the processes related to data provisioning, classification, protection, movement, and minimization, particularly for organizations focused on projects and relationships. In addition, CAM improves data management and governance, ensuring that it is accessible, secure, and compliant with relevant regulations. By cutting down on the chaos of data scattered across multiple systems, it enables users to effectively organize their documents and helps risk management teams to understand the necessary context. Users can seamlessly create Teams, Channels, workspaces, folders, and documents through either automated processes or manual workflows, enhancing operational efficiency. The inclusion of comprehensive metadata not only aids end users in locating data quickly but also supports risk management teams in assessing the significance of documents. Furthermore, CAM offers standardized naming conventions specific to various groups and teams, which significantly boosts data organization. Ultimately, it transforms data protection strategies by facilitating the effective management of both internal and external users and groups, assigning suitable roles and permissions, and streamlining access control as needed. This holistic approach not only fosters a more structured and secure data environment but also empowers organizations to adapt quickly to evolving data requirements.

What is DataHub?

DataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.

Media

Media

Integrations Supported

Microsoft Teams
Apache Hive
Apache Hudi
Apache NiFi
Cerrebro
ClickHouse
Dagster+
Elasticsearch
Looker
MariaDB
Metabase
Microsoft Power BI
Mode
Okta
Prefect
Presto
Tableau
Teradata VantageCloud
Trino
iManage

Integrations Supported

Microsoft Teams
Apache Hive
Apache Hudi
Apache NiFi
Cerrebro
ClickHouse
Dagster+
Elasticsearch
Looker
MariaDB
Metabase
Microsoft Power BI
Mode
Okta
Prefect
Presto
Tableau
Teradata VantageCloud
Trino
iManage

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

Prosperoware

Date Founded

2009

Company Location

United States

Company Website

www.prosperoware.com/cam/

Company Facts

Organization Name

DataHub

Company Location

United States

Company Website

datahubproject.io

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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