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features
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support

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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

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 
Microsoft Excel No 
Microsoft Power BI No 
Nucleon Database Master No 
Progress DataDirect Yes 
Protegrity Yes 
SQL Server No 
Sesame Software Yes 
ThinkData Works Yes 

Integrations

AnalyticsCreator Yes 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Nucleon Database Master Yes 
Progress DataDirect No 
Protegrity No 
SQL Server Yes 
Sesame Software No 
ThinkData Works 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 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 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/autonomous-database/autonomous-data-warehouse/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

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

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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