Azure Analysis Services offer very high availability. All our data is secure with Azure Analysis Services. Services provided by Azure is very cost-effective. Developers can create a server within a minute or less. A huge amount of memory is available with Azure. Servers can be paused and resumed at no extra cost. Review collected by and hosted on G2.com.

Azure Analysis Service requires a specific platform and expertise. Review collected by and hosted on G2.com.

Integration of multiple data sources with very less complexity. It has lot more features which makes analysis services robust and secured. Review collected by and hosted on G2.com.

Maintaining the cost of Azure analysis service is major challenge. I am little bit upset with its cost. Review collected by and hosted on G2.com.

It allows the discovery of analytics to use when trying to collect data and view in a report type of view. It is easy to use and the learning curve for new engineers to use is easy. Review collected by and hosted on G2.com.

It can be hard to find like all Azure services, they do not make it easy to navigate to the actual application you are trying to get to and use. It would be nice if that was fixed. Review collected by and hosted on G2.com.

Scalability and performance are two of Azure Analysis Services' finest features. It easily manages massive amounts of data, allowing for effective data processing and analysis. Flexible and reliable modelling capabilities make complex data linkages and calculations possible. A complete analytics ecosystem is also provided through the integration with other Azure services and tools, such as Power BI. Ultimately, Azure Analysis Services equips companies with scalable, quick, and trustworthy analytics solutions. Review collected by and hosted on G2.com.

The learning curve associated with Azure Analysis Services' extensive functionality and settings is one of its drawbacks. A thorough understanding of data modelling and query optimisation strategies is necessary for setting up and optimising the service. The pricing structure can also be complicated, with prices based on things like query processing and data storage. Even though Azure offers tools and guidance, beginners may have trouble navigating the platform and utilising all of the service's features. The overall user experience would be improved by more user-friendly instruction and straightforward price structures. Review collected by and hosted on G2.com.

Scalability: Azure Analysis Services offers flexible scaling options, allowing businesses to adjust resources based on their specific needs. This scalability ensures efficient performance even when dealing with large volumes of data and complex analytical workloads. Review collected by and hosted on G2.com.

While Azure Analysis Services supports various data sources, there may be limitations or complexities when connecting to certain data platforms or formats. Users may need to leverage additional tools or services for data preparation or integration with specific data sources. Review collected by and hosted on G2.com.

I recently had the opportunity to explore Azure Analysis Services, and I must say that it has proven to be an exceptional tool for unlocking the power of data analysis and providing valuable insights for businesses. Here are some of the upsides that make Azure Analysis Services a standout choice:

Seamless Integration with Azure Ecosystem: Azure Analysis Services seamlessly integrates with other Azure services, creating a cohesive ecosystem for data storage, processing, and visualization. Whether you are leveraging Azure Data Lake Storage, Azure SQL Database, or Power BI, the integration capabilities of Azure Analysis Services ensure smooth data connectivity and enhance collaboration among different teams.

Scalability and Performance: Azure Analysis Services offers remarkable scalability, enabling businesses to handle large volumes of data and accommodate increasing workloads. With its ability to process complex analytical queries efficiently, even with massive datasets, organizations can rely on Azure Analysis Services to deliver high-performance analysis, allowing users to explore and visualize data swiftly.

Flexible Data Modeling: One of the key strengths of Azure Analysis Services lies in its flexible data modeling capabilities. It supports multidimensional and tabular data models, providing users with the freedom to choose the most suitable modeling approach for their specific needs. Whether you prefer the traditional multidimensional model or the modern tabular model based on in-memory technology, Azure Analysis Services caters to diverse modeling requirements. Review collected by and hosted on G2.com.

One aspect that could be better is the pricing structure. The cost of using Azure Analysis Services can be a concern for smaller businesses or organizations with limited budgets. The pricing model is based on factors such as data storage, data processing, and the number of users, which can make it challenging to estimate and control expenses. More transparent and flexible pricing options would be beneficial to cater to different business requirements and budget constraints.

Another area for improvement is the documentation and learning resources. While Azure provides documentation and tutorials, some users may find it lacking in depth or clarity, particularly for more advanced features and scenarios. Enhancing the documentation with comprehensive examples, use cases, and troubleshooting guidance would assist users in fully leveraging the capabilities of Azure Analysis Services.

Additionally, improving the integration capabilities with other Azure services would be advantageous. While Azure Analysis Services integrates well with tools like Power BI, enhancing compatibility with other Azure services, such as Azure Data Factory or Azure Machine Learning, could streamline data workflows and enable more advanced analytics scenarios.

Furthermore, performance optimization could be enhanced. Although Azure Analysis Services is designed to handle large volumes of data, complex calculations, and numerous concurrent users, there may still be instances where performance can be improved, especially for complex queries and resource-intensive workloads. Continued optimization efforts could enhance query response times and overall system performance.

Lastly, providing more comprehensive monitoring and diagnostic tools would be beneficial. While Azure offers monitoring capabilities, additional features such as real-time performance metrics, advanced query analysis, and proactive alerts could help users identify and troubleshoot issues more effectively. Review collected by and hosted on G2.com.

It has a fast and user-friendly UI, which is very convenient when working with complex datasets. Working with SQL is also easy, as data loading and transforming are very convenient. Review collected by and hosted on G2.com.

Some security steps are very complex and make it hard to use sometimes. Integration with other software becomes complex sometimes also, so it requires more effort. Review collected by and hosted on G2.com.

The handful number of feature/function that transforms complex and nested data and customer support for solving the problem Review collected by and hosted on G2.com.

The setup can be simple. like if you are setting up first time it requires some effort Review collected by and hosted on G2.com.

It is a fully managed platform as a service (PaaS), built on known tools like MSSQL Server, and Powershell. Multiple data sources are supported. Data is secure with Azure AD authentication and firewall rules

Multiple tiers of machines are available in Azure in multiple regions. It can stop/start/resume PaaS service and change back based on usage. No Need to invest in high-end machines at your on-premise data centers Review collected by and hosted on G2.com.

Availability in many Availability Zone of Azure. But a few zones still do not have all the machines listed. However, You might find most of the use cases fulfilled based on your country of usage. Review collected by and hosted on G2.com.

It can handle ETL and Dashboard generation on huge amount of data with ease. Good templates and visual representation.

Great embedding features for client servicing.

Smooth and seamless implementation.

High frequency use for building data models. Review collected by and hosted on G2.com.

Requires professional training to use the platform, lack of tutorials although good infra customer support.

The pricing is little costly but good value for money.

Deployment and integration errors are hard to understand. Review collected by and hosted on G2.com.