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  5. Microsoft SSRS vs SAS

Microsoft SSRS vs SAS

OverviewComparisonAlternatives

Overview

Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0
SAS
SAS
Stacks83
Followers89
Votes0

Microsoft SSRS vs SAS: What are the differences?

Introduction

In this article, we will discuss the key differences between Microsoft SQL Server Reporting Services (SSRS) and SAS. Both SSRS and SAS are popular tools used for reporting and analytics, but they have some notable differences.

  1. Integration with Microsoft Technologies: Microsoft SSRS is tightly integrated with the Microsoft technology stack, including SQL Server, SharePoint, and Excel. It provides seamless integration and compatibility with these tools, allowing for easy deployment and sharing of reports within an organization. On the other hand, SAS is a standalone software suite that is not directly integrated with Microsoft technologies, although it can be used with them.

  2. User Interface (UI) and Ease of Use: SSRS has a user-friendly, drag-and-drop interface that makes report creation and customization relatively easy for users familiar with Microsoft products. It offers an intuitive interface, simplifying the process of developing, modifying, and managing reports. In contrast, SAS has a more complex and technical UI, which requires a steeper learning curve for users who are not familiar with SAS programming.

  3. Data Manipulation and Analysis Capabilities: SAS is known for its advanced data manipulation capabilities and statistical analysis features. It provides a wide range of powerful statistical procedures and algorithms that enable users to perform complex data analysis. SSRS, on the other hand, primarily focuses on report generation and presentation, with limited built-in data manipulation and analysis capabilities.

  4. Scalability and Performance: SSRS is designed to handle large volumes of data and can scale to support enterprise-level reporting requirements. It offers robust caching and processing options that optimize performance, allowing for quick and efficient report rendering. SAS, being a powerful analytics platform, also offers scalability and performance features, but it is more resource-intensive and may require additional hardware resources for optimal performance.

  5. Customization and Extensibility: SSRS provides a high level of customization and extensibility options through the use of custom code, expressions, and built-in functions. This allows developers to create highly tailored and interactive reports that meet specific business requirements. SAS, being a comprehensive analytics platform, also offers customization options, but it may require more expertise in programming and scripting to achieve similar levels of customization.

  6. Pricing and Licensing Model: Microsoft SSRS is generally included as part of the SQL Server licensing, making it a more cost-effective option for organizations that already have SQL Server deployed. SAS, however, follows a subscription-based licensing model and may incur higher costs, especially for large-scale deployments.

In summary, Microsoft SSRS offers better integration with Microsoft technologies, a user-friendly interface, and is well-suited for report generation and sharing within organizations. SAS, on the other hand, provides advanced data manipulation and statistical analysis capabilities, but has a steeper learning curve and is more resource-intensive. The choice between SSRS and SAS depends on the specific needs and requirements of the organization.

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Detailed Comparison

Microsoft SSRS
Microsoft SSRS
SAS
SAS

It provides a set of on-premises tools and services that create, deploy, and manage mobile and paginated reports. It delivers the right information to the right users.

It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

"Traditional" paginated reports; New mobile reports; A modern web portal
Analyses; Reporting; Data mining; Predictive modeling
Statistics
Stacks
96
Stacks
83
Followers
138
Followers
89
Votes
0
Votes
0
Integrations
Microsoft SQL Server
Microsoft SQL Server
No integrations available

What are some alternatives to Microsoft SSRS, SAS?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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