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  5. Google Datastudio vs Microsoft SSRS

Google Datastudio vs Microsoft SSRS

OverviewComparisonAlternatives

Overview

Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0
Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16

Google Datastudio vs Microsoft SSRS: What are the differences?

Introduction Google Datastudio and Microsoft SSRS are both powerful data visualization tools used for creating interactive and customized reports. However, there are key differences between the two that set them apart in terms of features and functionalities.

  1. Integration and Compatibility: One of the key differences between Google Datastudio and Microsoft SSRS is their integration and compatibility. Google Datastudio is a cloud-based tool that seamlessly integrates with other Google products like Google Analytics, Google Ads, and BigQuery. On the other hand, Microsoft SSRS is a component of the SQL Server Business Intelligence suite, making it more compatible with Microsoft products and databases.

  2. Deployment Options: Another important difference is the deployment options available for each tool. Google Datastudio is a fully cloud-based solution where reports are stored and accessed via the cloud. Microsoft SSRS, on the other hand, offers multiple deployment options including web-based, on-premise, and SharePoint integrated modes. This allows organizations to choose a deployment option that best fits their needs and infrastructure.

  3. Data Sources and Connectivity: Google Datastudio offers a wide range of data connectors and allows users to connect with various data sources including Google Sheets, BigQuery, MySQL, and more. It also supports direct querying of databases and offers an API for programmatic data retrieval. In contrast, Microsoft SSRS primarily relies on Microsoft SQL Server as the data source and offers limited connectivity options compared to Datastudio.

  4. Collaboration and Sharing: Collaboration and sharing capabilities differ significantly between the two tools. Google Datastudio enables real-time collaboration, allowing multiple users to work simultaneously on a report. It also allows easy sharing of reports via links or embedding them on websites. Microsoft SSRS, on the other hand, lacks real-time collaboration features and is more focused on generating traditional static reports that can be shared via email or exported to different formats.

  5. Ease of Use and Learning Curve: Google Datastudio is designed with a user-friendly interface and requires minimal technical knowledge, making it accessible to users without a strong technical background. It provides drag-and-drop functionality, pre-built templates, and a rich library of visualizations, facilitating easy report creation. Microsoft SSRS, on the other hand, has a steeper learning curve and requires a good understanding of SQL and reporting services concepts.

  6. Cost and Licensing: Google Datastudio is a free tool that comes with basic features and connectivity options. However, additional features like BigQuery connectors and data blending may require paid subscriptions. On the other hand, Microsoft SSRS is a part of the SQL Server license, which means organizations using SQL Server already have access to SSRS without any additional cost. However, there might be additional costs if organizations require advanced features or additional licenses for SQL Server.

In summary, the key differences between Google Datastudio and Microsoft SSRS lie in their integration and compatibility, deployment options, data sources and connectivity, collaboration and sharing capabilities, ease of use and learning curve, as well as cost and licensing models.

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Detailed Comparison

Microsoft SSRS
Microsoft SSRS
Google Datastudio
Google Datastudio

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 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.

"Traditional" paginated reports; New mobile reports; A modern web portal
Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of data Turn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting tools Share your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page
Statistics
Stacks
96
Stacks
200
Followers
138
Followers
170
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 6
    Free
  • 4
    Underrated
  • 2
    Easy to share
  • 1
    Google Analytics Integration
  • 1
    Shareable & editable dashboards
Cons
  • 1
    Works well with google (not aws or azure)
Integrations
Microsoft SQL Server
Microsoft SQL Server
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft Excel
Microsoft Excel

What are some alternatives to Microsoft SSRS, Google Datastudio?

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.

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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