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 Sisense

Microsoft SSRS vs Sisense

OverviewComparisonAlternatives

Overview

Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0
Sisense
Sisense
Stacks50
Followers66
Votes0

Microsoft SSRS vs Sisense: What are the differences?

Introduction:
In this Markdown code, we will highlight the key differences between Microsoft SSRS and Sisense for better understanding and comparison.

1. **Licensing Model**: Microsoft SSRS follows a traditional per-core licensing model, where users pay for the number of physical cores on the server. On the other hand, Sisense offers a more flexible licensing model based on the number of users, making it easier to scale up or down based on usage requirements.

2. **Data Source Connectivity Options**: SSRS has limited data source connectivity options and primarily works well with Microsoft products such as SQL Server, Excel, and SharePoint. In contrast, Sisense supports a wide range of data sources including NoSQL databases, cloud services, APIs, and on-premises databases, providing more versatility in data integration.

3. **User Interface and Dashboard Design**: The user interface of SSRS is basic and lacks modern design elements, making it less user-friendly for non-technical users. Sisense, on the other hand, offers a highly intuitive drag-and-drop interface for dashboard design, enabling users to create visually appealing reports without the need for advanced technical skills.

4. **Embedded Analytics Capabilities**: While SSRS can be embedded with third-party applications, it requires additional development effort to integrate seamlessly. Sisense provides robust embedded analytics capabilities with APIs and SDKs, allowing for easy integration into existing applications and workflows.

5. **Scalability and Performance**: SSRS may face limitations in handling large datasets and complex reports, leading to performance issues during peak usage. Sisense is designed for scalability, leveraging in-memory processing and advanced caching techniques to deliver fast query performance even with vast amounts of data.

6. **Collaboration and Sharing Features**: SSRS lacks robust collaboration and sharing features, making it challenging for teams to work collaboratively on reports. Sisense offers extensive collaboration tools such as commenting, annotation, and sharing options, facilitating better teamwork and knowledge sharing among users.

In Summary, the key differences between Microsoft SSRS and Sisense lie in their licensing models, data connectivity options, user interfaces, embedded analytics capabilities, scalability and performance, and collaboration features, catering to different needs and preferences in the business intelligence landscape.

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
Sisense
Sisense

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 making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly.

"Traditional" paginated reports; New mobile reports; A modern web portal
Complex business queries without programming or SQL writing; Removes limitations to data size; Intuitive 'script-less' user interface; Consolidates, stores and accumulates data; Data mash-ups; Can be set up and used entirely in-house; Handles data at scale on a single commodity server.
Statistics
Stacks
96
Stacks
50
Followers
138
Followers
66
Votes
0
Votes
0
Integrations
Microsoft SQL Server
Microsoft SQL Server
AtScale
AtScale
Vertica
Vertica
Dremio
Dremio
DataRobot
DataRobot
Trifacta
Trifacta
SAP HANA
SAP HANA

What are some alternatives to Microsoft SSRS, Sisense?

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