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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 Azure Databricks?

Leverage your data to uncover meaningful insights and develop AI solutions with Azure Databricks, a platform that enables you to set up your Apache Spark™ environment in mere minutes, automatically scale resources, and collaborate on projects through an interactive workspace. Supporting a range of programming languages, including Python, Scala, R, Java, and SQL, Azure Databricks also accommodates popular data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn, ensuring versatility in your development process. You benefit from access to the most recent versions of Apache Spark, facilitating seamless integration with open-source libraries and tools. The ability to rapidly deploy clusters allows for development within a fully managed Apache Spark environment, leveraging Azure's expansive global infrastructure for enhanced reliability and availability. Clusters are optimized and configured automatically, providing high performance without the need for constant oversight. Features like autoscaling and auto-termination contribute to a lower total cost of ownership (TCO), making it an advantageous option for enterprises aiming to improve operational efficiency. Furthermore, the platform’s collaborative capabilities empower teams to engage simultaneously, driving innovation and speeding up project completion times. As a result, Azure Databricks not only simplifies the process of data analysis but also enhances teamwork and productivity across the board.

Media

Media

Integrations Supported

Azure Data Lake
Databricks
Microsoft Azure
Microsoft Power BI
Amazon RDS
Apache Spark
Azure Key Vault
Azure Synapse Analytics
Redshift
Snowflake

Integrations Supported

Azure Data Lake
Databricks
Microsoft Azure
Microsoft Power BI
Axonius
Azure Marketplace
Chalk
DQOps
Dagster
EquityZen
Eureka
LOGIQ
Sifflet

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Privacera

Date Founded

2016

Company Location

United States

Company Website

privacera.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/databricks/

Categories and Features

Big Data

Collaboration
High Volume Processing

Cloud Management

Access Control
Multi-Cloud Management

Cloud Migration

Not specified

Cloud Security

Encryption

Compliance

Audit Management
Compliance Tracking
HIPAA Compliance
Workflow / Process Automation

Data Discovery

Contextual Search
Data Classification
Sensitive Data Identification

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Roles Management

Data Lineage

Visual & Text Lineage View

Data Management

Customer Data
Data Migration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Sensitive Data Identification

Data Security

Alerts / Notifications
Audits
Data Classification
Data Discovery
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance

Data Visualization

Dashboard Creation
Filtered Views
Visual Discovery

Encryption

Encryption Key Management
File Encryption
Public Key Cryptography
Tokenization / Data Masking

GDPR Compliance

Access Control
Consent Management
Policy Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security

Hybrid Cloud

Not specified

Machine Learning

Natural Language Processing (NLP)
Statistical / Mathematical Tools

Policy Management

Approval Process Control
Audit Trails
Policy Creation
Policy Library
Reporting / Analytics
Workflow Management

Categories and Features

Big Data

Not specified

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