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AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
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Proton DriveProton Drive's early access provides a highly secure cloud storage option characterized by end-to-end encryption, making it particularly suitable for safeguarding sensitive documents, utilizing the same encryption methods as Proton Mail and Proton Calendar. As we work on enhancing Proton Drive with new features, the current early access edition is already advantageous for various purposes, such as: - Providing a secure backup for crucial documents, including medical records, financial statements, and identification copies. - Enabling file storage in a cloud system with end-to-end encryption for seamless access across different devices. In contrast to many traditional cloud storage services like Google Drive, which may scrutinize and analyze your files for profit or share your information with external parties, Proton Drive guarantees that your data is encrypted on your device before it is uploaded to our secure servers. This ensures that we are unable to access your files, and we uphold a rigorous policy against data surveillance, avoiding monetization of your information through ads. Our dedication to user privacy is steadfast as we aim to provide a reliable cloud storage solution, empowering users to store their data with confidence and peace of mind. Additionally, we believe that a trustworthy storage service should prioritize users' rights and privacy above all else.
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What is Privacera?
Introducing the industry's pioneering SaaS solution for access governance, designed for multi-cloud data security through a unified interface. With the cloud landscape becoming increasingly fragmented and data dispersed across various platforms, managing sensitive information can pose significant challenges due to a lack of visibility. This complexity in data onboarding also slows down productivity for data scientists. Furthermore, maintaining data governance across different services often requires a manual and piecemeal approach, which can be inefficient. The process of securely transferring data to the cloud can also be quite labor-intensive. By enhancing visibility and evaluating the risks associated with sensitive data across various cloud service providers, this solution allows organizations to oversee their data policies from a consolidated system. It effectively supports compliance requests, such as RTBF and GDPR, across multiple cloud environments. Additionally, it facilitates the secure migration of data to the cloud while implementing Apache Ranger compliance policies. Ultimately, utilizing one integrated system makes it significantly easier and faster to transform sensitive data across different cloud databases and analytical platforms, streamlining operations and enhancing security. This holistic approach not only improves efficiency but also strengthens overall data governance.
What is Atlas Policy Management?
Atlas Policy Management functions as an all-encompassing system for managing retention policies across various types of information, ensuring a cohesive strategy. It incorporates integrated workflows and analytics designed to enhance policy management efficiency while strengthening information governance. By centralizing retention controls, this solution reduces risks related to information management and complies with legal and business requirements. Its integration with a corporation's governance catalog provides a unified view of retention responsibilities for different data types from multiple enterprise sources. Moreover, it supports the creation of information lifecycles and facilitates auditable programs applicable to both physical and digital assets. Users benefit from the ability to oversee policy schedules, control change requests, and manage retention protocols in one centralized location, maintaining consistency across all information types. This method not only establishes a standardized corporate retention framework but also aligns data retention practices across various countries, departments, systems, and operational processes, thus enhancing overall efficiency and compliance. Ultimately, Atlas Policy Management equips organizations with the tools needed to effectively address the intricacies of information retention, fostering confidence and precision in their approach. Additionally, it ensures that organizations remain adaptable to evolving data governance standards and practices.
Integrations Supported
AWS Glue
Alation
Amazon DynamoDB
Amazon EMR
Amazon Kinesis
Amazon RDS
Amazon Redshift
Amazon S3
Azure Data Lake
Cazena
Integrations Supported
AWS Glue
Alation
Amazon DynamoDB
Amazon EMR
Amazon Kinesis
Amazon RDS
Amazon Redshift
Amazon S3
Azure Data Lake
Cazena
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
Privacera
Date Founded
2016
Company Location
United States
Company Website
privacera.com
Company Facts
Organization Name
Breakwater
Date Founded
2020
Company Location
United States
Company Website
breakwatersolutions.com/software-products-atlas-policy-management/
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
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Compliance
Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
ISO Compliance
Incident Management
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation
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
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
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
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Encryption
Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
HIPAA Compliance
Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Policy Management
Approval Process Control
Attestation
Audit Trails
Policy Creation
Policy Library
Policy Metadata Management
Policy Training
Reporting / Analytics
Version Control
Workflow Management
Categories and Features
Policy Management
Approval Process Control
Attestation
Audit Trails
Policy Creation
Policy Library
Policy Metadata Management
Policy Training
Reporting / Analytics
Version Control
Workflow Management