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  5. IBM Cognos Analytics vs Microsoft SQL Server Reporting Services

IBM Cognos Analytics vs Microsoft SQL Server Reporting Services

OverviewComparisonAlternatives

Overview

Microsoft SQL Server Reporting Services
Microsoft SQL Server Reporting Services
Stacks44
Followers30
Votes0
IBM Cognos Analytics
IBM Cognos Analytics
Stacks19
Followers17
Votes0

IBM Cognos Analytics vs Microsoft SQL Server Reporting Services: What are the differences?

## Key Differences between IBM Cognos Analytics and Microsoft SQL Server Reporting Services

IBM Cognos Analytics and Microsoft SQL Server Reporting Services are two popular reporting tools used by organizations for data analysis and reporting. The key differences between these two tools are:

1. **User Interface**: IBM Cognos Analytics provides a more user-friendly and intuitive interface with drag-and-drop functionality, making it easier for non-technical users to create reports and dashboards. On the other hand, Microsoft SQL Server Reporting Services offers a robust interface, but it may require more technical expertise to navigate and create reports.

2. **Integration**: While both tools can connect to a variety of data sources, IBM Cognos Analytics excels in integrating with IBM's own suite of products seamlessly. On the contrary, Microsoft SQL Server Reporting Services integrates well with Microsoft products such as SQL Server, Azure, and Power BI.

3. **Customization**: IBM Cognos Analytics offers more extensive customization options for reports and dashboards, allowing users to create highly tailored visuals and layouts. In comparison, Microsoft SQL Server Reporting Services provides more limited customization capabilities, which may restrict users in creating complex or unique reports.

4. **Scalability**: Microsoft SQL Server Reporting Services is known for its scalability, making it suitable for large enterprises with a high volume of data and users. IBM Cognos Analytics, while scalable, may face limitations when dealing with extensive datasets and simultaneous user access.

5. **Pricing**: IBM Cognos Analytics is perceived to be more expensive than Microsoft SQL Server Reporting Services, especially for small to medium-sized businesses. Microsoft SQL Server Reporting Services, often bundled with other Microsoft products, may offer a more cost-effective solution for organizations looking to minimize expenses.

In Summary, the choice between IBM Cognos Analytics and Microsoft SQL Server Reporting Services ultimately depends on the organization's specific requirements in terms of user interface, integration, customization, scalability, and pricing.

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Detailed Comparison

Microsoft SQL Server Reporting Services
Microsoft SQL Server Reporting Services
IBM Cognos Analytics
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
44
Stacks
19
Followers
30
Followers
17
Votes
0
Votes
0
Integrations
Microsoft SQL Server
Microsoft SQL Server
No integrations available

What are some alternatives to Microsoft SQL Server Reporting Services, IBM Cognos Analytics?

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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