IBM Cognos Analytics vs Microsoft SSRS

Overview

Microsoft SSRS

Stacks96

Followers138

Votes0

IBM Cognos Analytics

Stacks19

Followers17

Votes0

IBM Cognos Analytics vs Microsoft SSRS: What are the differences?

1. Data Sources: IBM Cognos Analytics supports a wide range of data sources including databases, spreadsheets, big data, and cloud-based data sources, allowing users to access and analyze diverse data sets. On the other hand, Microsoft SSRS primarily focuses on databases like SQL Server, Oracle, and Azure SQL Database, providing limited options for connecting to non-database data sources.
2. Reporting Capabilities: IBM Cognos Analytics offers a comprehensive set of reporting capabilities, such as ad-hoc reporting, interactive dashboards, pixel-perfect reporting, and advanced visualization options, enabling users to create meaningful and visually appealing reports. In contrast, Microsoft SSRS primarily focuses on traditional paginated reports and lacks advanced visualization features, making it more suitable for simple tabular reports.
3. Self-Service Analytics: IBM Cognos Analytics empowers business users with self-service analytics capabilities, allowing them to explore and analyze data on their own, generate insights, and create personalized reports and visualizations without heavy reliance on IT. On the other hand, Microsoft SSRS mainly caters to developers and report authors, limiting the self-service capabilities accessible to end-users.
4. Collaboration and Sharing: IBM Cognos Analytics provides powerful collaboration features that allow users to share reports, dashboards, and insights with other users, promoting teamwork and knowledge sharing. It also offers robust scheduling and distribution options for automated report delivery. In contrast, Microsoft SSRS lacks these extensive collaboration features and has limited options for sharing reports, primarily relying on email or shared network folders for distribution.
5. Mobile Support: IBM Cognos Analytics offers a responsive and mobile-friendly interface, enabling users to access and interact with reports, dashboards, and visualizations on a variety of devices, including smartphones and tablets. In contrast, Microsoft SSRS has limited mobile support and may require additional configurations or customizations to provide a satisfactory mobile experience.
6. Scalability and Security: IBM Cognos Analytics is designed to handle enterprise-scale deployments, offering robust scalability and multi-tenancy options for organizations with diverse user needs and complex security requirements. Microsoft SSRS, while scalable, may face limitations when it comes to handling large-scale deployments and often relies on Microsoft's broader security infrastructure for access control and authentication.

In Summary, IBM Cognos Analytics and Microsoft SSRS differ in terms of data sources, reporting capabilities, self-service analytics, collaboration, mobile support, scalability, and security.

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Detailed Comparison

Microsoft SSRS	IBM Cognos Analytics
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 business intelligence solution that empowers users with AI-infused self-service capabilities that accelerate data preparation, analysis, and report creation. It makes it easier than ever to visualize data and share actionable insights across your organization to foster more data-driven decisions.
"Traditional" paginated reports; New mobile reports; A modern web portal	Protect your data; Visualize your business performance; Share critical insights easily
Statistics
Stacks 96	Stacks 19
Followers 138	Followers 17
Votes 0	Votes 0
Integrations
Microsoft SQL Server	No integrations available

What are some alternatives to Microsoft SSRS, IBM Cognos Analytics?

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'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: 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

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

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

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

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 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

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.

Related Comparisons

IBM Cognos Analytics vs Microsoft SSRS: What are the differences?

1. Data Sources: IBM Cognos Analytics supports a wide range of data sources including databases, spreadsheets, big data, and cloud-based data sources, allowing users to access and analyze diverse data sets. On the other hand, Microsoft SSRS primarily focuses on databases like SQL Server, Oracle, and Azure SQL Database, providing limited options for connecting to non-database data sources.
2. Reporting Capabilities: IBM Cognos Analytics offers a comprehensive set of reporting capabilities, such as ad-hoc reporting, interactive dashboards, pixel-perfect reporting, and advanced visualization options, enabling users to create meaningful and visually appealing reports. In contrast, Microsoft SSRS primarily focuses on traditional paginated reports and lacks advanced visualization features, making it more suitable for simple tabular reports.
3. Self-Service Analytics: IBM Cognos Analytics empowers business users with self-service analytics capabilities, allowing them to explore and analyze data on their own, generate insights, and create personalized reports and visualizations without heavy reliance on IT. On the other hand, Microsoft SSRS mainly caters to developers and report authors, limiting the self-service capabilities accessible to end-users.
4. Collaboration and Sharing: IBM Cognos Analytics provides powerful collaboration features that allow users to share reports, dashboards, and insights with other users, promoting teamwork and knowledge sharing. It also offers robust scheduling and distribution options for automated report delivery. In contrast, Microsoft SSRS lacks these extensive collaboration features and has limited options for sharing reports, primarily relying on email or shared network folders for distribution.
5. Mobile Support: IBM Cognos Analytics offers a responsive and mobile-friendly interface, enabling users to access and interact with reports, dashboards, and visualizations on a variety of devices, including smartphones and tablets. In contrast, Microsoft SSRS has limited mobile support and may require additional configurations or customizations to provide a satisfactory mobile experience.
6. Scalability and Security: IBM Cognos Analytics is designed to handle enterprise-scale deployments, offering robust scalability and multi-tenancy options for organizations with diverse user needs and complex security requirements. Microsoft SSRS, while scalable, may face limitations when it comes to handling large-scale deployments and often relies on Microsoft's broader security infrastructure for access control and authentication.

In Summary, IBM Cognos Analytics and Microsoft SSRS differ in terms of data sources, reporting capabilities, self-service analytics, collaboration, mobile support, scalability, and security.

IBM Cognos Analytics vs Microsoft SSRS

Overview