StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Business Intelligence
  5. Microsoft SSRS vs Qlik Sense

Microsoft SSRS vs Qlik Sense

OverviewComparisonAlternatives

Overview

Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0
Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0

Microsoft SSRS vs Qlik Sense: What are the differences?

Introduction

In this article, we will be comparing Microsoft SQL Server Reporting Services (SSRS) and Qlik Sense, two popular business intelligence tools. We will be discussing the key differences between the two, highlighting their unique features and functionalities.

  1. Design and Visualization: Microsoft SSRS primarily focuses on providing pixel-perfect, paginated reports with a wide range of formatting options. It offers a drag-and-drop report designer, which allows users to create highly formatted and print-ready reports. On the other hand, Qlik Sense emphasizes self-service and data discovery. It offers a responsive and interactive visualization environment, allowing users to explore data through intuitive dashboards and visualizations.

  2. Data Connectivity: SSRS is tightly integrated with Microsoft SQL Server and easily connects to various data sources commonly used in Microsoft ecosystems. It provides native access to SQL Server databases, Analysis Services, and other Microsoft technologies. In contrast, Qlik Sense offers broad data connectivity, supporting a wide range of data sources including databases, flat files, cloud services, and web-based APIs. It also allows for data blending and transformation during the load process.

  3. Interactive Analysis: Qlik Sense excels in offering powerful associative data modeling where users can dynamically explore data relationships. It allows users to make selections on data points and see how their choices affect the rest of the visualizations, enabling a data-driven approach to analysis. SSRS, on the other hand, provides limited interactivity, mainly focusing on static reports where consumers can filter and drill down within pre-defined parameters.

  4. Data Preparation and Data Governance: Qlik Sense provides robust data preparation capabilities, allowing users to cleanse, transform, and enrich data within the tool itself. It also offers data governance features, enabling data stewards to define and enforce business rules and data quality standards. SSRS, being primarily a reporting tool, lacks these comprehensive data preparation and governance capabilities.

  5. Collaboration and Sharing: Qlik Sense provides collaborative capabilities, allowing users to create and share visualizations, apps, and dashboards with their colleagues. It offers a central hub for sharing and organizing analysis results, fostering collaboration across teams. SSRS, being traditionally used for scheduled reporting, provides limited collaboration features and is more focused on delivering pre-defined reports via subscriptions or email.

  6. Pricing Model: Microsoft SSRS is included as part of the SQL Server licensing and does not incur additional costs for SQL Server users. However, advanced features and functionalities may require additional licenses. Qlik Sense, on the other hand, is licensed on a subscription basis, with pricing tiers based on the number of users. This might make Qlik Sense more expensive for organizations with a large number of users.

In summary, while SSRS excels in providing formatted, paginated reports and seamless integration with Microsoft technologies, Qlik Sense stands out with its self-service and data discovery features, interactive analysis capabilities, and comprehensive data preparation and governance tools. Pricing models and collaboration features also vary significantly between the two.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Microsoft SSRS
Microsoft SSRS
Qlik Sense
Qlik Sense

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 helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction.

"Traditional" paginated reports; New mobile reports; A modern web portal
-
Statistics
Stacks
96
Stacks
122
Followers
138
Followers
100
Votes
0
Votes
0
Integrations
Microsoft SQL Server
Microsoft SQL Server
No integrations available

What are some alternatives to Microsoft SSRS, Qlik Sense?

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.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope