Azure Analysis Services Description

Utilize Azure Resource Manager for the swift creation and deployment of an Azure Analysis Services instance, allowing you to leverage backup restore for the seamless transfer of your existing models to this cloud platform, thus embracing its scalability, flexibility, and management advantages. You can easily scale up, down, or pause the service, ensuring you only incur costs for what you actually utilize. Merge data from diverse sources into a coherent and user-friendly BI semantic model that promotes clarity and ease of use. Enhance self-service capabilities and facilitate data exploration for business users by streamlining the representation of data and its foundational structure. This approach significantly shortens the time required to derive insights from large and intricate datasets, while rapid response capabilities ensure that your BI solutions effectively address the requirements of your business users and adapt to evolving demands. Furthermore, connect to real-time operational data via DirectQuery to stay attuned to the dynamics of your organization, and bring your insights to life through your preferred data visualization tools, enabling a more comprehensive understanding of your data landscape.

Azure Analysis Services Alternatives
Google Cloud BigQuery Reviews
Google Cloud BigQuery
(1710 Ratings)
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
Learn more
MANTA Reviews
MANTA
Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.
Learn more
Looker Reviews
Looker
(20 Ratings)
Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
Learn more
Qrvey Reviews
Qrvey
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house. Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience. Qrvey's solution offers: - Built-in data lake powered by Elasticsearch - A unified data pipeline to ingest and analyze any type of data - The most embedded components - all JS, no iFrames - Fully personalizable to offer personalized experiences to users With Qrvey, you can build less software and deliver more value.
Learn more

Pricing

Pricing Starts At:
$0.81 per hour
Free Trial:
Yes

Integrations

View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/services/analysis-services/

Media

Azure Analysis Services Screenshot 1
Azure Analysis Services Screenshot 1 Azure Analysis Services Screenshot 2
Recommended Products
Identity is everything. Protect it with Duo. Icon
Identity is everything. Protect it with Duo.

From start-ups to large enterprises, companies of all sizes depend on Cisco Duo to prevent unauthorized access.

Move towards a passwordless future with Duo’s Continuous Identity Security, stopping sophisticated identity attacks and ensuring a seamless authentication experience for every member of your team.
Get a Free Trial

Product Details

Platforms
SaaS
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Azure Analysis Services Features and Options

Big Data Software

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Azure Analysis Services User Reviews

Write a Review
  • Name: Rodney C.
    Job Title: Data Engineer
    Length of product use: Less than 6 months
    Used How Often?: Weekly
    Role: User
    Organization Size: 10,000 - 19,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Feature rich ecosystem coupled with a robust interface

    Date: Mar 16 2022

    Summary: This is definitely a tool that would come highly recommended if you are at all considering migrating your current IT backbone to Azure in any capacity. This will help streamline how you document and manage your data assets.

    Positive: As my company has begun its journey to the cloud, we have partnered with Microsoft on its Azure platform for a number of initiatives including modernizing our reporting and business intelligence platform. With the large number of disparate systems in our organization, Azure Analysis Services has really helped to provide a unified view of all our data assets and inventory in a centralized location.

    Negative: While this tool will help to alleviate a lot of the headache in unifying and documenting multiple data models, it is not a magic bullet. There is a learning curve with using this tool, and ensuring that end users understand how this tool is being used. Some end users expect to just be able to throw things into this tool and see what comes out, which often is garbage in and garbage out. I hope that Microsoft can more succinctly define how this tool should best be used.

    Read More...
  • Previous
  • You're on page 1
  • Next