Software Alternatives, Accelerators & Startups

RAWGraphs VS Red Hat OpenShift

Compare RAWGraphs VS Red Hat OpenShift and see what are their differences

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RAWGraphs logo RAWGraphs

RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Red Hat OpenShift logo Red Hat OpenShift

Application and Data, Application Hosting, and Platform as a Service
  • RAWGraphs Landing page
    Landing page //
    2022-06-16
  • Red Hat OpenShift Landing page
    Landing page //
    2023-06-01

RAWGraphs features and specs

  • User-Friendly Interface
    RAWGraphs provides an intuitive drag and drop interface, making it accessible for users with various technical skills.
  • Open Source
    Being open source, RAWGraphs allows for customization and community contributions, promoting transparency and flexibility.
  • Supports Multiple Data Formats
    RAWGraphs supports a variety of input formats like CSV, TSV, JSON, etc., enhancing its adaptability to different data sources.
  • Extensive Visualization Types
    Offers a wide range of visualization types such as bar graphs, scatter plots, and network graphs, catering to diverse analytical needs.
  • No Installation Required
    As a web-based tool, it does not require any installation, making it easy to access and use anywhere with an internet connection.
  • Export Options
    Allows exporting visualizations in vector (SVG) and raster (PNG) formats, which is valuable for high-quality reporting and presentations.

Possible disadvantages of RAWGraphs

  • Limited Interactivity
    Visualizations created with RAWGraphs are generally static, lacking advanced interactive features found in other tools.
  • Performance with Large Datasets
    May struggle with performance issues when handling very large datasets, which can limit its use for extensive data analytics.
  • Learning Curve for Advanced Features
    While basic functionalities are user-friendly, leveraging advanced features and customizations may require a steeper learning curve.
  • Dependency on Internet
    As a web-based application, it requires an internet connection to function, which can be a limitation in restricted or offline environments.
  • Limited Data Manipulation
    Provides basic data manipulation features, but lacks the depth and complexity available in specialized data processing tools.
  • Support and Documentation
    As an open-source project, it may not have the extensive support and documentation available with commercial visualization tools.

Red Hat OpenShift features and specs

  • Integration with Red Hat Ecosystem
    OpenShift offers tight integration with Red Hat's extensive ecosystem, including Red Hat Enterprise Linux (RHEL), Red Hat Ansible Automation, and Red Hat Middleware, providing a seamless experience for enterprises already using Red Hat products.
  • Comprehensive Security Features
    OpenShift provides robust security features including fine-grained access controls, built-in OAuth authentication, and automatic security updates, making it easier to maintain a secure containerized environment.
  • Enterprise Support
    Red Hat offers professional, enterprise-grade support for OpenShift, providing an added layer of reliability and assistance for resolving issues and ensuring smooth operations.
  • Consistent Hybrid Cloud Experience
    OpenShift provides a consistent platform across on-premises, public cloud, and hybrid cloud environments, enabling organizations to avoid vendor lock-in and deploy applications flexibly.
  • Developer-Friendly Tools
    Features like integrated CI/CD pipelines, automated build and deploy processes, and a rich set of developer tools make it easier for developers to create and deploy applications quickly.

Possible disadvantages of Red Hat OpenShift

  • Complexity
    OpenShift can be complex to set up and manage, especially for teams that are not already familiar with Kubernetes and container orchestration concepts.
  • Cost
    The enterprise version of OpenShift can be expensive, which might be a barrier for small businesses or startups.
  • Learning Curve
    There is a steep learning curve associated with OpenShift, requiring significant time and effort to master, particularly for organizations new to container management and orchestration.
  • Resource Intensive
    Running OpenShift can be resource-intensive, demanding substantial CPU, memory, and storage resources, which could be a challenge for smaller or resource-constrained environments.
  • Dependency on Red Hat Technologies
    While integration with Red Hat's ecosystem is a pro, it could also be a con for organizations that do not use Red Hat products or prefer to avoid dependency on a single vendor for their software stack.

Analysis of RAWGraphs

Overall verdict

  • Yes, RAWGraphs is a good tool for creating data visualizations due to its ease of use, versatility, and robust support for different data types and outputs.

Why this product is good

  • RAWGraphs is considered a good data visualization tool because it is open-source, versatile, and easy to use. It allows users to create a wide variety of charts and visualizations without needing extensive coding knowledge. Its interface is intuitive and facilitates the quick transformation of data sets into visually compelling graphics. Furthermore, it supports multiple formats for data input and export, making it flexible for various project needs.

Recommended for

  • data analysts
  • journalists
  • researchers
  • educators
  • students
  • designers who need to create visualizations without in-depth coding skills.

Analysis of Red Hat OpenShift

Overall verdict

  • Red Hat OpenShift is a robust and highly regarded platform for managing containerized applications, particularly in enterprise environments.

Why this product is good

  • OpenShift offers a comprehensive Kubernetes-based solution with additional features for security, developer productivity, and operational efficiencies. It provides a consistent development and operational experience across hybrid cloud environments. OpenShift's integration with Red Hat's ecosystem and support for a wide range of tools further enhance its usability and performance. Furthermore, the platform's strong security features and enterprise-grade support are key advantages.

Recommended for

  • Large enterprises looking to implement or scale Kubernetes clusters
  • Development teams requiring a streamlined and integrated DevOps toolchain
  • Organizations seeking strong security and compliance capabilities
  • Companies adopting hybrid or multi-cloud strategies
  • Development teams looking for easy scaling and management of complex containerized applications

RAWGraphs videos

RawGraphs Walkthrough

Red Hat OpenShift videos

Red Hat OpenShift overview

More videos:

  • Demo - Red Hat OpenShift 4.3 Demo with Shadow-Soft

Category Popularity

0-100% (relative to RAWGraphs and Red Hat OpenShift)
Data Visualization
100 100%
0% 0
DevOps Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Continuous Integration And Delivery

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RAWGraphs and Red Hat OpenShift

RAWGraphs Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
RAWGraphs is an open-source Data Visualization tool designed to make visualizing complex data simple for everyone. The primary goal of RAWGraphs is to provide a tool that allows people who do not have the technical/coding expertise to create visualizations on their own. Originally designed to help graphic designers complete a set of tasks that were not available in other...
Source: hevodata.com

Red Hat OpenShift Reviews

We have no reviews of Red Hat OpenShift yet.
Be the first one to post

Social recommendations and mentions

Based on our record, RAWGraphs should be more popular than Red Hat OpenShift. It has been mentiond 5 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.

RAWGraphs mentions (5)

  • Interview synthesis tools?
    Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetailโ€™s โ€œchartsโ€ to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csvโ€™s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. Iโ€™m sure there are better ways but thatโ€™s what I got! Source: over 4 years ago
  • What type/style of chart is this?
    Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 4 years ago
  • Show HN: I made a data visualization desktop app
    This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 4 years ago
  • [OC] Latin Americaโ€™s biggest airports had been growing steadily. With Covid, it all changed.
    Tools: Excel, Rawgraphs, Affinity Designer. Source: almost 5 years ago
  • Self-hosted solution for easy data visualization?
    Take a look at https://rawgraphs.io/. Source: over 5 years ago

Red Hat OpenShift mentions (1)

  • The biggest threats to Red Hatโ€™s Linux market share will come from the companies that make it easiest for developers to do their jobs.
    There is a free Openshift sandbox you can deploy here: https://developers.redhat.com/products/openshift/getting-started. Source: about 3 years ago

What are some alternatives?

When comparing RAWGraphs and Red Hat OpenShift, you can also consider the following products

Plotly - Low-Code Data Apps

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Packer - Packer is an open-source software for creating identical machine images from a single source configuration.