--- title: Ganitha Reviews meta_title: 'Ganitha Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 12 reviews by the users' company size, role or industry to find out how Ganitha works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 12 scale: '5' date_modified: '2026-08-09' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Ganitha Reviews **Vendor:** Tresata **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.3/5.0 **Total Reviews:** 12 ## About Ganitha Ganitha is an open-source library (derived from the Sanskrit word for mathematics, or science of computation) is a Scalding library with a focus on machine-learning and statistical analysis. ## Ganitha Pros & Cons **What users like:** - Users value the **efficiency in handling large data volumes** with Ganitha, simplifying complex data manipulation and analysis. (4 reviews) - Users commend Ganitha for its **ease of use** , enabling efficient data handling with a user-friendly interface. (4 reviews) - Users value the **model variety** of Ganitha, enabling efficient handling of complex data with multiple machine learning options. (4 reviews) - Users commend Ganitha for its **seamless integrations** and user-friendly interface, enhancing efficiency in data processing tasks. (3 reviews) - Users value the **flexibility** of Ganitha, enhancing their ability to manage and analyze vast datasets effectively. (2 reviews) - Intuitive (2 reviews) - Machine Learning (2 reviews) - Navigation Ease (2 reviews) - AI Technology (1 reviews) - Customization Options (1 reviews) **What users dislike:** - Users find the **poor documentation** of Ganitha frustrating, as it lacks clear guides and practical examples for new users. (3 reviews) - Users find the **difficult learning curve** of Ganitha to hinder effective usage and overall satisfaction. (2 reviews) - New users may face a **steep learning curve** with Ganitha, making it challenging to maximize its features. (1 reviews) - Users find Ganitha offers **limited customization** , which may restrict advanced analysis and integration for experienced users. (1 reviews) - Users find Ganitha has **limited features** , lacking advanced options for deeper analysis and customizations. (1 reviews) - Slow Performance (1 reviews) ## Ganitha Reviews ### 1. Powerful Machine Learning & Statistical Analysis tool for the Complex Relationships in COMPUTATION **Rating:** 4.0/5.0 stars **Reviewed by:** Mohammad M. | Senior Manager - PMO, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** March 07, 2024 **What do you like best about Ganitha?** Ganitha makes large-scale machine learning and statistical analysis seamless. Its integration with Hadoop and Scalding allows us to process massive datasets efficiently, while built-in algorithms like K-means|| deliver excellent performance for clustering. **What do you dislike about Ganitha?** Ganitha has a steep learning curve, especially for users unfamiliar with Scalding or the Hadoop ecosystem. The documentation could be more detailed, with additional examples and tutorials to make onboarding easier. **What problems is Ganitha solving and how is that benefiting you?** Streamline of complex data which ends up in resolving our daily requirement. ### 2. powerful for statistical analysis and machine learning **Rating:** 4.0/5.0 stars **Reviewed by:** Jimmy W. | Executive Producer , Mid-Market (51-1000 emp.) **Reviewed Date:** October 21, 2024 **What do you like best about Ganitha?** It makes handling large volumes of data efficient and relatively straightforward. The ability to perform complex data manipulation and transformation operations in big data workflows has been crucial in my work. The library offers a wide range of machine learning algorithms, from simple regressions to more complex models such as decision trees and neural networks. It can also integrate with other libraries and analysis tools, such as Apache Spark and Hadoop, has allowed for a flexible and robust working environment. **What do you dislike about Ganitha?** For new users, especially those unfamiliar with Scalding, it can take time to fully understand how to take full advantage of Ganitha's capabilities. **What problems is Ganitha solving and how is that benefiting you?** Using Ganitha has brought several significant benefits to my projects. First, the ability to handle large data sets and perform complex analytics has improved the efficiency of my workflows. I have been able to develop accurate predictive models and perform detailed statistical analysis without having to switch platforms. ### 3. My Personal Experience with a Powerful Analysis Tool **Rating:** 3.5/5.0 stars **Reviewed by:** Giedre M. | Head of Creative Operations , Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2024 **What do you like best about Ganitha?** I was impressed with its seamless integration with Scalding and its focus on statistical analysis. The ease with which I was able to perform complex data processing tasks and build machine learning models saved me a significant amount of time. Ganitha offers a wide range of tools and functionalities that simplify working with large volumes of data, something that had always been a challenge in my previous projects. **What do you dislike about Ganitha?** Initially, I had difficulty understanding how to take full advantage of its capabilities. In addition, the documentation, while comprehensive, could benefit from more practical examples and detailed tutorials to help new users get started more quickly. **What problems is Ganitha solving and how is that benefiting you?** Thanks to its powerful analytics algorithms and machine learning models, I have been able to get more accurate and valuable insights from my data. This has not only improved the quality of my analysis, but also significantly increased the efficiency of my workflow. In addition, the fact that it is an open source tool gives me the freedom to customize and adapt the library to my specific needs, something I consider a big plus. ### 4. **Machine Learning Potential** **Rating:** 4.0/5.0 stars **Reviewed by:** Pierre V. | Studio Coordinator, Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2024 **What do you like best about Ganitha?** What really makes Ganitha stand out is its usability. As a Scalding library, it allows users to integrate data from multiple sources and perform complex analysis without a steep learning curve. The interface is accessible and well-designed, making it easy to navigate even for those who are not programming experts. This is especially useful in business environments where speed of decision making is crucial. **What do you dislike about Ganitha?** I have faced significant challenges. Slow data processing can be frustrating, especially when working with large data sets. **What problems is Ganitha solving and how is that benefiting you?** Ganitha offers great potential in the area of machine learning and statistical analysis, standing out for its usability. ### 5. Really Gooood!! **Rating:** 4.0/5.0 stars **Reviewed by:** Rishab J. | Manager - Finance & Accounts, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2023 **What do you like best about Ganitha?** Makes computing easy. Helps in getting the job done with my employees at a faster rate. **What do you dislike about Ganitha?** There's not much to be dissatisfied about. **What problems is Ganitha solving and how is that benefiting you?** Streamlining of data has helped our productivity multifold. ### 6. Amazing! Amazing! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 12, 2018 **What do you like best about Ganitha?** Amazing computation system, i love how it’s easy to communicate with my employees, and can get the task done **What do you dislike about Ganitha?** I wish it had more uses, but over all satisfaction is very good. **What problems is Ganitha solving and how is that benefiting you?** I am solving my statistical issues within my company. ## Ganitha Discussions - [What is Ganitha used for?](https://www.g2.com/discussions/what-is-ganitha-used-for) - 1 comment - [View Ganitha pricing details and edition comparison](https://www.g2.com/products/ganitha/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+03%3A55%3A18+-0500&secure%5Bsession_id%5D=4b6a495d-83de-4f24-b5dc-ab1812274223&secure%5Btoken%5D=34412517cbf348c1793f0b581ecfff4206e79750402282e8864be85bb487da09&format=llm_user) ## Ganitha Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Integration - Machine Learning** - Integration - Third-Party Integrations **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot ## Top Ganitha Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,062 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,292 reviews)