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Ratings and Reviews 0 Ratings
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What is PuR MetaData?
Streamline your organization's security by eliminating unnecessary metadata from email attachments today! With PuR MetaData, companies can quickly and effectively lower the chances of sensitive information being accidentally shared. This robust tool not only reduces legal risks but also helps avoid costly lawsuits by protecting your organization’s confidential details. Furthermore, PuR MetaData is crafted to enhance both team productivity and overall efficiency. It is intuitive, reliable, and budget-friendly, enabling users to actively participate in their decision-making processes. The platform is methodically organized, allowing users to independently review the metadata of each file and perform risk evaluations. PuR MetaData expertly analyzes and removes hidden information from a variety of file formats, such as Word, Excel, PowerPoint, and PDF attachments. Our user-friendly interface not only boosts productivity but also facilitates smooth business operations, ensuring your organization stays focused and efficient. By choosing to invest in PuR MetaData, you are making a commitment to uphold your organization’s privacy and maintain operational integrity. In a world where data breaches are becoming increasingly common, safeguarding your information has never been more critical.
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.
Integrations Supported
Active Directory
Amazon Redshift
Amazon S3
Apache Airflow
Apache Hive
Apache Spark
Databricks Data Intelligence Platform
Elasticsearch
Looker
Microsoft Azure
Integrations Supported
Active Directory
Amazon Redshift
Amazon S3
Apache Airflow
Apache Hive
Apache Spark
Databricks Data Intelligence Platform
Elasticsearch
Looker
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
$39 per year
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
Evolution Software
Date Founded
2010
Company Location
United States
Company Website
www.evsoftware.com/pur
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
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