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SAP Crystal Reports VS Matplotlib

Compare SAP Crystal Reports VS Matplotlib and see what are their differences

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SAP Crystal Reports logo SAP Crystal Reports

SAP Crystal Reports offers easy-to-use BI and reporting tool to design and deliver meaningful business reports.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • SAP Crystal Reports Landing page
    Landing page //
    2023-10-19
  • Matplotlib Landing page
    Landing page //
    2023-06-14

SAP Crystal Reports features and specs

  • Comprehensive Data Source Integration
    SAP Crystal Reports supports a wide range of data sources, including SQL databases, Excel spreadsheets, and various cloud services, which makes it versatile for different business environments.
  • Powerful Data Visualization
    The software offers advanced charting and reporting features, enabling users to create visually appealing and informative reports that aid in better data interpretation.
  • Customized and Parameterized Reports
    Users can create tailored reports with custom parameters to meet specific business needs, enhancing the relevance and precision of the data presented.
  • Export and Distribution Flexibility
    SAP Crystal Reports supports exporting to various formats (PDF, Excel, Word), and includes scheduling and automated distribution features which streamline report dissemination.
  • Enterprise Integration
    The tool easily integrates within SAP's broader ecosystem, ensuring seamless workflow and data consistency across various enterprise software solutions.

Possible disadvantages of SAP Crystal Reports

  • Steep Learning Curve
    The software's complexity and extensive feature set can make it challenging for new users, requiring significant time and training to become proficient.
  • High Licensing Cost
    The pricing model can be expensive for small to mid-sized businesses, especially when considering the need for additional licenses or subscriptions for multiple users.
  • Performance Issues with Large Data Sets
    When handling very large data sets or complex reports, the performance can degrade, leading to slow report generation and user frustration.
  • Limited Interactivity in Reports
    Compared to some modern BI tools, SAP Crystal Reports offers limited interactivity within its reports, which can restrict data exploration and user engagement.
  • Dependency on Other SAP Products
    To fully leverage its capabilities, users might need to invest in other SAP products, increasing overall costs and dependency on a single vendor.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of SAP Crystal Reports

Overall verdict

  • Overall, SAP Crystal Reports is considered a good option for businesses needing a powerful and flexible reporting solution. It is particularly praised for its customization options and the ability to handle complex reporting needs. However, some users find that the learning curve can be steep, especially for beginners, and that it might require additional IT resources for setup and maintenance.

Why this product is good

  • SAP Crystal Reports is a popular reporting tool that is known for its strong data connectivity, robust report creation capabilities, and wide range of design features. The software allows users to connect to various data sources, including databases and business applications, to create richly formatted and interactive reports. It is favored for its ability to produce detailed, pixel-perfect reports that can be exported to different formats like PDF and Excel.

Recommended for

    SAP Crystal Reports is recommended for medium to large businesses, especially those that require comprehensive and detailed reporting capabilities. It is ideal for organizations that need to produce professional-standard reports and make use of an existing SAP ecosystem. It is also suited for users who need to handle complex data visualizations and reporting needs, and who have the technical resources to support ongoing use and integration.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

SAP Crystal Reports videos

+ Add

Crystal Report Beginner Training Tutorial 2017 - An Introduction To SAP Crystal Reports

More videos:

  • Review - SAP Crystal Reports 2016: Nine Features Every User Should Know

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to SAP Crystal Reports and Matplotlib)

SAP Crystal Reports

Matplotlib

Data Dashboard
65 65%
Data Dashboard
35% 35
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Other BI And Analytics
100 100%
Other BI And Analytics
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SAP Crystal Reports and Matplotlib

SAP Crystal Reports Reviews

25 Best Reporting Tools for 2022
SAP Crystal Reports is a Windows-based On-premise Business Intelligence Tool built to perform data analysis and present in visual forms. It supports building reports without a programming language. Users can build reports from their Design Wizards and parameterize them to get a report of their choice. It leverages analytical functions such as sorting, ranking, formulas,...
Source: hevodata.com
15 Best Business Intelligence Tools For Small And Big Business
Luckily, SAP Crystal Reports worked around what the company has long given up on, and transformed it into reality: ADP is now using it to standardize its reporting procedures, a process that may take a while, but will eventually be completed. Ever since the tool was first deployed and implemented, ADP’s agents are able to run reports on schedule, update data and inspect the...
Source: financesonline.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SAP Crystal Reports mentions (0)

We have not tracked any mentions of SAP Crystal Reports yet. Tracking of SAP Crystal Reports recommendations started around Mar 2021.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 6 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 9 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 10 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 11 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 12 months ago
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What are some alternatives?

When comparing SAP Crystal Reports and Matplotlib, you can also consider the following products

Hull - The engagement layer for the internet. Hull is a platform that offers identity management, user engagement, segmentation and targeted messaging for your app.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Drmetrix - DRMetrix is the first 24/7 commercial monitoring platform designed for the direct response television industry

NumPy - NumPy is the fundamental package for scientific computing with Python

Bot Analytics - Bot Analytics is a conversational analytics tool that helps chatbot owners to improve human-to-bot communication. Identify bottlenecks, filter conversations, and understand engagement.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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