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support

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Description

Oracle Audit Vault and Database Firewall is designed to oversee both Oracle and non-Oracle database activities, aiming to identify and thwart potential security threats while enhancing compliance reporting by aggregating audit information from various sources including databases, operating systems, and directories. It can be utilized in either an on-premises setup or within the Oracle Cloud environment. Serving as a comprehensive Database Activity Monitoring (DAM) solution, AVDF merges inherent audit data with real-time SQL traffic capture over the network. This solution features a robust audit data warehouse, agents for collecting host-based audit data, and advanced tools for reporting and analysis, alongside an alert framework, an audit dashboard, and a multi-layered Database Firewall. A variety of pre-configured compliance reports streamline the process of generating customized and scheduled reports that adhere to regulations such as GDPR, PCI, GLBA, HIPAA, IRS 1075, SOX, and UK DPA. Additionally, its user-friendly interface allows organizations to tailor their compliance strategies effectively while ensuring robust security measures are in place.

Description

A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Active Directory Yes 
IBM Db2 Yes 
LEAFIO Yes 
MongoDB Yes 
MySQL Yes 
NLSQL No 
Oracle Cloud Infrastructure Yes 
Oracle Database Yes 
PostgreSQL Yes 
Quickwork Yes 
SQL Server Yes 
TSM Yes 

Integrations

Active Directory No 
IBM Db2 No 
LEAFIO No 
MongoDB No 
MySQL No 
NLSQL Yes 
Oracle Cloud Infrastructure No 
Oracle Database No 
PostgreSQL No 
Quickwork No 
SQL Server No 
TSM No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/database/technologies/security/audit-vault-firewall.html

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-lakehouse/

Product Features

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives