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ease
features
design
support

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Description

Oracle's bare metal servers offer clients a dedicated infrastructure that ensures isolation, visibility, and control. Designed to accommodate applications that demand substantial processing power, these servers can scale to an impressive 128 cores—the highest available in the market—along with 2 TB of RAM and up to 1 PB of block storage. This capability allows users to construct robust cloud environments on Oracle’s bare metal servers, achieving notable performance enhancements compared to other public cloud solutions and traditional on-premises setups. The E4 series of compute instances features the largest bare metal option in the industry, boasting 128 OCPUs and 2 TB of memory, making it suitable for a wide range of enterprise applications that can efficiently operate on a single AMD-based instance. Furthermore, bare metal servers are particularly advantageous for executing high-performance, latency-sensitive, specialized, and conventional workloads directly on dedicated hardware, similar to on-premises configurations. Ideal for situations where nonvirtualized environments are necessary, these bare metal instances can significantly optimize workload performance. Overall, the flexibility and power of Oracle's bare metal servers position them as a compelling choice for businesses looking to enhance their computational capabilities.

Description

When deployed as an on-premises server, SQL Server Analysis Services provides comprehensive support for various model types, including tabular models at all compatibility levels based on the version, multidimensional models, data mining capabilities, and Power Pivot features for SharePoint. The standard process for implementation involves setting up a SQL Server Analysis Services instance, designing either a tabular or multidimensional data model, deploying this model as a database to the server instance, processing it to populate with data, and configuring user permissions to facilitate data access. Once the setup is complete, client applications that are compatible with Analysis Services can easily utilize the data model as a source. These models typically gather data from external systems, primarily from data warehouses utilizing either SQL Server or Oracle relational database engines, though tabular models can connect to a variety of additional data sources. This versatility makes SQL Server Analysis Services a powerful tool for analytics and business intelligence.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AnalyticsCreator No 
Fedora CoreOS Yes 
Microsoft Excel No 
Microsoft Power BI No 
Nucleon Database Master No 
Oracle Cloud Infrastructure Yes 
SQL Server No 

Integrations

AnalyticsCreator Yes 
Fedora CoreOS No 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Nucleon Database Master Yes 
Oracle Cloud Infrastructure No 
SQL Server Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 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 No 
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/cloud/compute/bare-metal.html

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

docs.microsoft.com/en-us/analysis-services/ssas-overview

Product Features

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis No 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

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