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. Power BI vs SAP Crystal Reports

Power BI vs SAP Crystal Reports

OverviewDecisionsComparisonAlternatives

Overview

Power BI
Power BI
Stacks994
Followers946
Votes29
SAP Crystal Reports
SAP Crystal Reports
Stacks49
Followers38
Votes0

Power BI vs SAP Crystal Reports: What are the differences?

Introduction

Power BI and SAP Crystal Reports are both popular tools used for data visualization and reporting. However, they have key differences in terms of integration capabilities, features, and deployment options.

  1. Integration Capabilities: Power BI offers seamless integration with various data sources, including cloud services, databases, and online services. It allows users to connect to multiple data sources and create unified dashboards and reports. On the other hand, SAP Crystal Reports has limited integration capabilities and is primarily designed for on-premises data sources. It requires a separate setup and configuration for each data source.

  2. Features: Power BI offers a wide range of interactive visualizations, advanced analytics, and AI-powered insights. It allows users to create dynamic dashboards, perform complex data modeling, and leverage natural language processing for querying data. SAP Crystal Reports, on the other hand, is more focused on static reporting and lacks advanced visualization options. It provides basic reporting features and is suitable for traditional tabular reports.

  3. Deployment Options: Power BI allows users to publish reports and dashboards to the cloud using the Power BI service. This enables easy sharing, collaboration, and access to reports from any device. In contrast, SAP Crystal Reports primarily supports on-premises deployment. It requires installation on a local server or desktop and lacks the cloud-based deployment options offered by Power BI.

  4. Ease of Use: Power BI is known for its intuitive and user-friendly interface. It provides drag-and-drop capabilities, easy data exploration, and a wide range of design options for creating visually appealing reports. SAP Crystal Reports, on the other hand, has a steeper learning curve and requires some technical expertise for designing and customizing reports.

  5. Data Connectivity: Power BI offers a wide range of connectors and APIs for seamless data connectivity. It supports real-time data streaming, direct querying of databases, and integration with popular cloud platforms such as Azure and Salesforce. SAP Crystal Reports, on the other hand, has limited data connectivity options and is often limited to specific databases or data sources.

  6. Scalability and Collaboration: Power BI is designed for large-scale deployments and supports enterprise-grade scalability and collaboration features. It allows users to work together on reports, create data-driven alerts, and manage permissions and access control. SAP Crystal Reports, on the other hand, is more suited for small to medium-sized deployments and lacks the robust collaboration features offered by Power BI.

In Summary, Power BI and SAP Crystal Reports differ in terms of integration capabilities, features, deployment options, ease of use, data connectivity, and scalability. Power BI offers advanced visualizations, seamless integration with various data sources, cloud-based deployment, and enterprise-grade scalability and collaboration features. SAP Crystal Reports, on the other hand, focuses on traditional reporting, has limited integration capabilities, and is primarily designed for on-premises deployment.

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

Advice on Power BI, SAP Crystal Reports

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments

Detailed Comparison

Power BI
Power BI
SAP Crystal Reports
SAP Crystal Reports

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.

It turns almost any data source into interactive, actionable information that can be accessed offline or online, from applications, portals and mobile devices.

Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Securely access your business data; Easily analyze your business data; Efficiently share your business data
Statistics
Stacks
994
Stacks
49
Followers
946
Followers
38
Votes
29
Votes
0
Pros & Cons
Pros
  • 18
    Cross-filtering
  • 4
    Database visualisation
  • 2
    Powerful Calculation Engine
  • 2
    Intuitive and complete internal ETL
  • 2
    Access from anywhere
No community feedback yet
Integrations
Microsoft Excel
Microsoft Excel
MySQL
MySQL
Visual Studio
Visual Studio

What are some alternatives to Power BI, SAP Crystal Reports?

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.

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.

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