Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

Oracle Database@AWS allows users to seamlessly transfer their Oracle Databases, encompassing Oracle Exadata workloads, to either the Oracle Exadata Database Service on Dedicated Infrastructure or the Oracle Autonomous Database on Dedicated Exadata Infrastructure hosted within AWS. This transition is designed to require little to no modifications to existing databases or applications, all while ensuring complete compatibility with features and architecture, as well as maintaining high performance and availability. Users can create low-latency connections between Oracle Database@AWS and their applications running on AWS, including those on Amazon Elastic Compute Cloud (Amazon EC2). Additionally, Oracle Database@AWS connects directly with AWS Analytics services via zero-ETL, facilitating the integration of data from Oracle and AWS, which enhances analytics capabilities and machine learning initiatives. Moreover, it supports integration with AWS generative AI services to foster rapid innovation. This comprehensive solution provides a cohesive experience for the collaborative aspects of purchasing, management, operations, and support, streamlining processes for businesses. Ultimately, this integration empowers organizations to leverage cloud technologies more effectively, driving efficiency and growth.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS IoT Analytics No 
Amazon EC2 No 
Amazon Web Services (AWS) No 
NLSQL Yes 
Oracle Autonomous Database No 
Oracle Database No 
Oracle Exadata No 
Oracle Real Application Clusters (RAC) No 
QuerySurge No 

Integrations

AWS IoT Analytics Yes 
Amazon EC2 Yes 
Amazon Web Services (AWS) Yes 
NLSQL No 
Oracle Autonomous Database Yes 
Oracle Database Yes 
Oracle Exadata Yes 
Oracle Real Application Clusters (RAC) Yes 
QuerySurge Yes 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-lakehouse/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/marketplace/featured-seller/oracle/

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 

Product Features

Alternatives

Alternatives

ORMIT™ DB Reviews

ORMIT™ DB

RENAPS