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GitKraken VS SAS Advanced Analytics

Compare GitKraken VS SAS Advanced Analytics and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

GitKraken logo GitKraken

The intuitive, fast, and beautiful cross-platform Git client.

SAS Advanced Analytics logo SAS Advanced Analytics

SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.
  • GitKraken Landing page
    Landing page //
    2023-04-21
  • SAS Advanced Analytics Landing page
    Landing page //
    2023-02-05

GitKraken features and specs

  • User-Friendly Interface
    GitKraken provides an intuitive and visually appealing interface which makes it easy for users to navigate and manage repositories.
  • Robust Git Integration
    GitKraken offers seamless integration with Git, supporting various Git commands and workflows with ease.
  • Cross-Platform Support
    GitKraken is available on multiple platforms including Windows, macOS, and Linux, providing consistency for users working in different environments.
  • Built-in Merge Conflict Resolution
    The tool includes advanced features for resolving merge conflicts, simplifying a commonly complex part of version control.
  • Integration with Issue Trackers
    GitKraken works well with popular issue trackers like Jira, GitHub Issues, and GitLab Issues, enhancing project management capabilities.

Possible disadvantages of GitKraken

  • Cost
    While GitKraken offers a free version, its premium features, which might be essential for advanced users, come with a subscription fee.
  • Resource Intensive
    GitKraken can be heavy on system resources, which might lead to slower performance on less powerful hardware.
  • Limited Customization
    Compared to some other Git clients, GitKraken offers fewer options for customization and configuration, which might be limiting for power users.
  • Learning Curve
    New users, especially those not familiar with Git concepts, might find the initial learning curve steep despite its user-friendly interface.
  • Periodic Updates
    Updates and new releases, while beneficial, can sometimes introduce bugs or change the interface in ways that disrupt user workflow.

SAS Advanced Analytics features and specs

  • Comprehensive Suite
    SAS Viya offers a wide range of advanced analytics tools, from data management and visualization to machine learning and artificial intelligence, providing a one-stop solution.
  • Scalability
    The platform is designed to scale efficiently, handling large volumes of data and complex analytical processes, suitable for big organizations.
  • Integration Capabilities
    SAS Viya integrates well with various data sources and existing IT infrastructures, making it easy to include in diverse technical environments.
  • Strong Support and Resources
    SAS provides extensive documentation, user communities, and customer support, which can be invaluable for troubleshooting and learning.
  • Advanced Security Features
    The platform includes robust security measures, ensuring that sensitive data is protected throughout analytics processes.

Possible disadvantages of SAS Advanced Analytics

  • Cost
    SAS Viya can be expensive, particularly for smaller businesses or startups, due to its premium pricing model.
  • Complexity
    The comprehensive nature of the software can lead to a steep learning curve for new users who are not familiar with SAS products.
  • Resource Intensive
    SAS Viya may require significant computational resources, which might necessitate additional investment in hardware or cloud services.
  • Customization Limitations
    While offering extensive features, customization options might be limited compared to open-source alternatives, which can impact flexibility.
  • Dependency on SAS Knowledge
    Effective use of the platform often requires skilled personnel with specific knowledge in SAS programming and analytics, which can be challenging to recruit.

Analysis of SAS Advanced Analytics

Overall verdict

  • SAS Advanced Analytics is highly regarded as a powerful and reliable analytics platform, particularly for complex and large-scale data analysis.

Why this product is good

  • SAS Advanced Analytics is considered good due to its comprehensive suite of tools that offer capabilities for predictive modeling, machine learning, data mining, and text analytics. The software is robust and scalable, handling large data sets effectively, and is backed by extensive support and training resources. It integrates well with other SAS products, providing a seamless analytics experience. Additionally, SAS has a strong reputation in the industry for reliability and is used by many large organizations.

Recommended for

    SAS Advanced Analytics is recommended for large enterprises, financial institutions, healthcare organizations, and any business sectors that require comprehensive and robust analytics solutions for data-driven decision-making. It is ideal for organizations with complex analytics needs that benefit from a scalable and integrated analytics environment.

GitKraken videos

+ Add

GitKraken Git Client Tutorial For Beginners

More videos:

  • Review - 10 ways GitKraken Glo Boards outshines Trello for developers
  • Review - GitKraken Glo Boards - Intro to Kanban-style Issue Tracking for Devs

SAS Advanced Analytics videos

No SAS Advanced Analytics videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to GitKraken and SAS Advanced Analytics)

GitKraken

SAS Advanced Analytics

Git
100 100%
Git
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using GitKraken and SAS Advanced Analytics. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare GitKraken and SAS Advanced Analytics

GitKraken Reviews

Top 7 GitHub Alternatives You Should Know (2024)
GitKraken is a popular Git client and collaboration platform for Windows, macOS, and Linux.
Source: snappify.com
Best Git GUI Clients of 2022: All Platforms Included
The tool has a built-in code editor where you can start a new project and edit the files directly in GitKraken. Plus it lets you track your tasks as it can sync with GitHub in real time, organize tasks in the calendar view, and mention team members to notify them about updates.
Source: www.hostinger.com
Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitKraken is another top-of-the-line tool among git clients due to its efficiency, reliability, and stylish user interface (UI). The tool is equally popular among expert and novice developers.
Source: geekflare.com
Best Git GUI Clients for Windows
GitKraken is one of the best-known Git GUI tools for Windows, Linux, and Mac. Specialists favor this software for its reliability and efficiency, and its stylish interface also helped this solution become so popular. It simplifies all the basic tasks, making it possible to perform the necessary actions and fix errors with one click.
Source: blog.devart.com

SAS Advanced Analytics Reviews

Top 7 Predictive Analytics Tools
SAS Advanced Analytics does not have pricing on their website. They have contact sheets in case a company needs to request demos, free trials, and price quotes.
Source: www.datamation.com

Social recommendations and mentions

Based on our record, GitKraken seems to be more popular. It has been mentiond 4 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.

GitKraken mentions (4)

  • Native Git Support in Zed
    I'll have to try this out. I'm currently a huge GitKraken[1] fan. [1] https://gitkraken.com. - Source: Hacker News / 3 months ago
  • The Terrible UX of Git (2021)
    The Git CLI is terrifying and awful. It's far too easy to clobber your own work -- and that of others -- when the whole point of it was to prevent that. While you still need to really deeply understand several git concepts to use it, GitKraken[0] is the best GUI tool I've used in daily practice. It integrates well with git hosts and has an attractive and mostly comprehensible interface. Accordingly, it isn't free... - Source: Hacker News / over 2 years ago
  • Beautiful and crazy ways to see git-log?
    I like GitKraken partially because it was originally loosely based on the look/feel of Guitar Hero. Source: about 3 years ago
  • How I became a Software Developer - 5 Years Later
    This experience was also invaluable because I had a walking fountain of knowledge sitting next to me and was really cool about answering my questions and pointing out all code style errors in countless PR reviews. I cannot count the amount of times he had to explain me the whole rebase workflow. What really helped me improve my Git knowledge was GitKraken and other similar tools. - Source: dev.to / about 3 years ago

SAS Advanced Analytics mentions (0)

We have not tracked any mentions of SAS Advanced Analytics yet. Tracking of SAS Advanced Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing GitKraken and SAS Advanced Analytics, you can also consider the following products

SourceTree - Mac and Windows client for Mercurial and Git.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.

Board - Unified BI, CPM and predictive analytics software.

SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...

SAP BusinessObjects Predictive Analytics - SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

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