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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 Linux provides a comprehensive and open operating environment that combines virtualization, management, and cloud-native computing tools along with the operating system in a unified support package. It maintains full binary compatibility with Red Hat Enterprise Linux, ensuring seamless application performance. You can browse the catalog to locate details about independent software vendors (ISVs) that have validated their applications for use with Oracle Linux and its virtualization capabilities. Certified applications on Oracle Linux are capable of running across various environments, including on-premises, Oracle Cloud Infrastructure, and other cloud services. Don't miss the opportunity to participate in the Oracle Tux Tech Talk webinar on July 28, where you will learn how to benchmark performance, explore the advantages of the Unbreakable Enterprise Kernel (UEK), and identify which workloads benefit from its enhancements. This session promises to equip you with valuable insights for optimizing your Linux applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AD Bridge No 
AimBetter No 
Axigen No 
Azure Marketplace No 
Catalogic DPX No 
F5 NGINX Plus No 
Kasm Workspaces No 
Mondoo No 
NLSQL Yes 
Oracle Cloud Infrastructure Compute No 
Ottomatik No 
Rad Web Hosting No 
RapidFort No 
SecHard No 
Storware No 
VyOS No 

Integrations

AD Bridge Yes 
AimBetter Yes 
Axigen Yes 
Azure Marketplace Yes 
Catalogic DPX Yes 
F5 NGINX Plus Yes 
Kasm Workspaces Yes 
Mondoo Yes 
NLSQL No 
Oracle Cloud Infrastructure Compute Yes 
Ottomatik Yes 
Rad Web Hosting Yes 
RapidFort Yes 
SecHard Yes 
Storware Yes 
VyOS 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 Yes 
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) No 
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 No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-lakehouse/

Vendor Details

Company Name

Oracle

Founded

1998

Country

United States

Website

www.oracle.com/linux/

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

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