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What is SSAS?

When implemented as an on-premises server, SQL Server Analysis Services offers extensive support for multiple model types, such as tabular models at different compatibility levels depending on the version, multidimensional models, data mining features, and Power Pivot functionalities for SharePoint. The typical implementation process consists of establishing a SQL Server Analysis Services instance, creating either a tabular or multidimensional data model, deploying this model as a database to the server instance, processing it to fill it with data, and setting up user permissions to enable data access. After this setup is finalized, client applications compatible with Analysis Services can readily access the data model as a source. These data models often aggregate information from external systems, primarily retrieving data from data warehouses that utilize SQL Server or Oracle relational database engines; however, tabular models are also capable of connecting to various other data sources. This flexibility and range of capabilities underscore the strength of SQL Server Analysis Services as a formidable resource for analytics and business intelligence, allowing organizations to derive meaningful insights from their data. Ultimately, such robust functionality positions SQL Server Analysis Services as an essential component for enterprises aiming to enhance their analytical capabilities.

What is AnalyticDB?

AnalyticDB for MySQL stands out as a robust data warehousing solution, engineered to offer security, dependability, and ease of use. It allows for the effortless production of online statistical reports, multidimensional analysis structures, and real-time data warehousing. Thanks to its distributed computing design, AnalyticDB for MySQL takes advantage of the cloud's scalable nature to manage enormous data volumes, effortlessly accommodating tens of billions of records in real-time. The service organizes data through relational models and supports versatile computation and analysis via SQL. Additionally, it makes database management more straightforward, giving users the flexibility to scale nodes and modify instance sizes as necessary. With a comprehensive suite of visualization and ETL tools, AnalyticDB for MySQL greatly enhances the efficiency of enterprise data processing. Users can perform instantaneous multidimensional analysis, sifting through massive datasets in mere milliseconds, thus delivering critical insights without delay. Furthermore, its extensive features enable organizations to effectively meet their data needs while remaining agile in the face of evolving requirements, ensuring long-term business success. Overall, this solution is pivotal for any business aiming to leverage data for strategic decision-making.

Media

Media

Integrations Supported

Alibaba Cloud
AnalyticsCreator
Microsoft Excel
Microsoft Power BI
MySQL
Nucleon Database Master
PostgreSQL
SQL Server

Integrations Supported

Alibaba Cloud
AnalyticsCreator
Microsoft Excel
Microsoft Power BI
MySQL
Nucleon Database Master
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.248 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Company Facts

Organization Name

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/es/product/analyticdb-for-mysql

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Categories and Features

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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