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  5. Microsoft SSRS vs QlikView

Microsoft SSRS vs QlikView

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0

Microsoft SSRS vs QlikView: What are the differences?

<Microsoft SSRS vs QlikView>

1. **Data Source Connectivity**: Microsoft SSRS supports a wide range of data sources including SQL Server, Oracle, ODBC, OLE DB, and others, while QlikView has a unique associative data model that enables users to easily connect to multiple data sources and create relationships on the fly.
2. **Data Visualization**: SSRS provides basic charting and graphing capabilities, whereas QlikView offers more advanced and interactive data visualization options such as associative selection, dynamic filtering, and drill-down capabilities.
3. **Collaboration and Sharing**: SSRS allows users to share reports via email, SharePoint, and subscriptions, while QlikView offers more collaborative features with its Qlik Sense platform that enables real-time data sharing and commenting on visualizations.
4. **Interactive Analysis**: QlikView allows for more interactive and exploratory analysis with its in-memory technology that allows users to quickly slice and dice data without having to rely on pre-aggregated data sets, while SSRS may require the use of pre-built reports for specific analyses.
5. **Deployment Options and Scalability**: SSRS can be deployed on-premises or in the cloud with Azure, while QlikView offers both on-premises and cloud deployment options, with Qlik Sense offering a more scalable and flexible cloud solution.
6. **Cost and Licensing**: Microsoft SSRS is typically included as part of SQL Server licensing, making it more cost-effective for organizations already using SQL Server, whereas QlikView requires separate licensing and may be more costly for smaller organizations. 

In Summary, Microsoft SSRS and QlikView differ in terms of data source connectivity, data visualization capabilities, collaboration features, interactive analysis options, deployment scalability, and cost considerations.

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Detailed Comparison

QlikView
QlikView
Microsoft SSRS
Microsoft SSRS

It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making.

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.

Advanced Data Prep; Dashboarding
"Traditional" paginated reports; New mobile reports; A modern web portal
Statistics
Stacks
67
Stacks
96
Followers
61
Followers
138
Votes
0
Votes
0
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to QlikView, Microsoft SSRS?

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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