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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Oracle Autonomous Data Warehouse is a cloud-based data warehousing solution designed to remove the intricate challenges associated with managing a data warehouse, including cloud operations, data security, and the creation of data-centric applications. This service automates essential processes such as provisioning, configuration, security measures, tuning, scaling, and data backup, streamlining the overall experience. Additionally, it features self-service tools for data loading, transformation, and business modeling, along with automatic insights and integrated converged database functionalities that simplify queries across diverse data formats and facilitate machine learning analyses. Available through both the Oracle public cloud and the Oracle Cloud@Customer within client data centers, it offers flexibility to organizations. Industry analysis by experts from DSC highlights the advantages of Oracle Autonomous Data Warehouse, suggesting it is the preferred choice for numerous global enterprises. Furthermore, there are various applications and tools that work seamlessly with the Autonomous Data Warehouse, enhancing its usability and effectiveness.

Description

beVault serves as an all-encompassing platform for automating data management, specifically tailored to tackle the complexities associated with changing business demands and data frameworks. The platform significantly accelerates the creation and implementation of new business scenarios, enhancing data warehouse automation by as much as fivefold, which in turn shortens time-to-market while preserving organizational agility. It promotes effective collaboration between IT and business stakeholders through its user-friendly, business-focused interface, enabling teams to collaboratively construct data models without encountering technical hurdles. As a comprehensive low-code solution, beVault reduces reliance on costly resources and eliminates the need for multiple licenses, streamlining data management tools to cut down on both implementation and operational expenses. Noteworthy attributes of the platform include a scalable, business-oriented model that evolves with data requirements, an integrated data quality framework to uphold high standards, and a versatile architecture that supports on-premises, cloud, or hybrid deployment options. Additionally, beVault is designed to adapt to future technological advancements, ensuring that organizations remain competitive and responsive to new challenges.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Progress DataDirect
Protegrity
Sesame Software
ThinkData Works

Integrations

Progress DataDirect
Protegrity
Sesame Software
ThinkData Works

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/autonomous-database/autonomous-data-warehouse/

Vendor Details

Company Name

beVault

Country

United States

Website

www.bevault.io

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

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 Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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