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  5. Metabase vs Microsoft SSRS

Metabase vs Microsoft SSRS

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0

Metabase vs Microsoft SSRS: What are the differences?

## Introduction

Key differences between Metabase and Microsoft SSRS are outlined below:

1. **User Interface**: Metabase offers a user-friendly and intuitive interface that is easy for non-technical users to navigate and create visualizations, whereas Microsoft SSRS has a more complex and technical interface that may require training for non-technical users to use effectively.

2. **Security**: Metabase has limited security features compared to Microsoft SSRS, which offers more advanced security options such as role-based access control, encryption, and integration with Active Directory for stricter data protection.

3. **Customization**: Metabase provides fewer customization options for formatting reports and dashboards compared to Microsoft SSRS, which offers a wide range of customization features such as custom branding, themes, and templates.

4. **Data Sources**: Metabase has limited support for a variety of data sources compared to Microsoft SSRS, which can connect to a wide range of databases, APIs, and other data sources, making it more versatile for organizations with diverse data storage systems.

5. **Scalability**: Microsoft SSRS is designed for enterprise-level scalability and can handle large volumes of data and users more efficiently compared to Metabase, which may experience performance issues with larger datasets and user loads.

6. **Cost**: Metabase is an open-source tool that is free to use, whereas Microsoft SSRS is a part of the SQL Server suite, which requires licensing fees for commercial use, making it a more expensive option for organizations on a budget.

In Summary, Metabase and Microsoft SSRS differ in user interface, security features, customization options, data sources, scalability, and cost.

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Detailed Comparison

Metabase
Metabase
Microsoft SSRS
Microsoft SSRS

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.

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.

-
"Traditional" paginated reports; New mobile reports; A modern web portal
Statistics
GitHub Stars
44.4K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
928
Stacks
96
Followers
1.2K
Followers
138
Votes
271
Votes
0
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Metabase, Microsoft SSRS?

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.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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