--- title: BigML Reviews meta_title: 'BigML Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 24 reviews by the users' company size, role or industry to find out how BigML works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 24 scale: '5' date_modified: '2026-06-21' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # BigML Reviews **Vendor:** BigML **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.7/5.0 **Total Reviews:** 24 ## About BigML Enjoy the power of Programmatic Machine Learning ## BigML Reviews ### 1. My Experience about BigML **Rating:** 4.5/5.0 stars **Reviewed by:** Siddharth S. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2023 **What do you like best about BigML?** BigML is a great Tool in the Machine Learning Field because of its dynamic work models. BigML I am used is classification of the data set and it is very easy and Responsible. **What do you dislike about BigML?** About my experience nothing as such but some time accuracy may differ but data set become more filtered after use of BigMl. Some time it feel like confusion but not at all **What problems is BigML solving and how is that benefiting you?** About benefits BigML work well with multiple type of datasets. And It provides me better experience. Solve huge dynamic datasets in my projects. It is best from my side. ### 2. Machine Learning Platform with cloud based for Data processing **Rating:** 4.5/5.0 stars **Reviewed by:** Nitin Y. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 04, 2023 **What do you like best about BigML?** The best thing about it is it supports many ML algorithms and data formats and also it found a cloud-based platform for data pre-processing. It is also integrated with Excel and Tableau **What do you dislike about BigML?** I found it a grat platform for data processing but my team found some issue in it while doing data imports and formats in it **What problems is BigML solving and how is that benefiting you?** It helps us to deploy the creative models and perform the data pre-processing. It is like a higher data scientist for our industry who analysis the data very effectively and processes them easily, which benefit us in saving money and time. ### 3. Powerful Machine Learning Cloud Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Prit S. | Project Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2018 **What do you like best about BigML?** This is a great platform where one can easily find any algorithm related to Machine Learning. Yes, even they provide a lot of data sets which really helps for learning and understanding the BigML API. The documentation is too good and up to the mark. **What do you dislike about BigML?** It is not a free service, where as one can easily find many open source libraries such as scikit-learn that meets the purpose and even its free. **Recommendations to others considering BigML:** There are a number of free datasets available, which are displayed on the dashboard itself when you sign in. I suggest you to play with those datasets, it will provide a brief information how BigML API works . **What problems is BigML solving and how is that benefiting you?** Deploying models on BigML cloud that are used to carry out various ML tasks using the powerful BigML API. ### 4. Machine Learning API **Rating:** 4.5/5.0 stars **Reviewed by:** Riya T. | Senior Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2018 **What do you like best about BigML?** Their customer support is great, every time I face a issue it get resolved within a day or two. Apart from that their service is also great, I really loved this concept where they provide every Machine Learning Algorithm just using a API, which can be used in any programming language. I think is really great thing. Also their website has good UI/UX. **What do you dislike about BigML?** I every time need a internet connection to test my application or even after I make a full working product. They provide no offline support like the famous machine learning library scikit-learn which is open source too. BigML is a paid service where as we can find many services in this market which are free of cost. **Recommendations to others considering BigML:** They provide some data sets for free to explore, use them for learning and understanding purpose. **What problems is BigML solving and how is that benefiting you?** Using it in applications where we perform Machine Learning tasks. ### 5. Machine Learning Cloud Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Harsh P. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2018 **What do you like best about BigML?** The best thing about BigML is you don't need any files on your local system, just an internet connection and API will let you do anything you want, from model deployment to prediction. You can save the model on cloud and use it from any device you want. Also, one more thing I would like to mention is the free datasets they provide for playing around with your models, there is a wide range of datasets that one can use directly with API. **What do you dislike about BigML?** We have been using BigML for a long time and have never faced issues. **Recommendations to others considering BigML:** They provide a variety of free datasets, I recommend to use them while you become familiar with the platform. **What problems is BigML solving and how is that benefiting you?** Deploying ML models on cloud facility they provide to use them in different projects we build in our organization. ### 6. On Cloud Machine Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Jaimil M. | Project Manager, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2018 **What do you like best about BigML?** - The UI/UX of the website is great. - It supports multiple languages and is easy to use. - Wide range of free datasets to play with. - Provides almost all Machine Learning algorithms which are also optimized. **What do you dislike about BigML?** - It's not free and provides very less perks in free pack. - One always needs an Internet connection as it totally works on Web API. **Recommendations to others considering BigML:** Play around with the wide range of free data sets to understand the algorithms they provide. **What problems is BigML solving and how is that benefiting you?** Creating Machine Learning models and using them to carryout various Machine Learning tasks in our organization. ### 7. Best Ever ML API **Rating:** 5.0/5.0 stars **Reviewed by:** Bhargavi S. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** February 09, 2018 **What do you like best about BigML?** I really like that it provides service as a REST API. It is so fast and efficient that I always rely on it for all of the products I develop. **What do you dislike about BigML?** In free trail it limits the storage which forces one to buy a paid pack. I would really love to recommend it if it would have been providing more perks in free pack. It constraints itself to professional purpose and cannot be used for learning purpose. **Recommendations to others considering BigML:** Use the sample datasets they provide on the website for practice purpose, they really help one to understand how the algorithms work. **What problems is BigML solving and how is that benefiting you?** I use it almost everywhere where there is use of Machine Learning. For all the Machine Learning involving products we develop at Soni Tech we always use BigML. ### 8. Machine Learning cloud platform **Rating:** 4.5/5.0 stars **Reviewed by:** Abhinash P. | CEO, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** January 10, 2018 **What do you like best about BigML?** It has almost all machine learning algorithms implemented, which on can use on the fly without any hesitation with the easily accessible API. **What do you dislike about BigML?** It is a totally a cloud platform, where one need to depend on the internet connection. No internet, no BigML. It would have been better if there would be some kind of offline support. **Recommendations to others considering BigML:** It is easy to use, but still I recommend you to start learning from scikit-learn: http://scikit-learn.org/ as it is very well documented and has offline support too, and go for BigML then after. **What problems is BigML solving and how is that benefiting you?** Making products which uses Machine Learning. ### 9. Cloud Machine Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** February 08, 2018 **What do you like best about BigML?** The algorithms it provide are fast as well as efficient. Also another benifit is we don't need any local storage space, it totally works on cloud and Web API. **What do you dislike about BigML?** I am using it from a long time and haven't faced any problems. I am happy with the experience so I would say, 'no dislikes' for BigML. **Recommendations to others considering BigML:** Along with algorithms, BigML provides a lot of datasets which can be used to have a basic knowledge of a particular algorithm. So for practice purpose I highly recommend to use this datasets. **What problems is BigML solving and how is that benefiting you?** Using BigML Web API in different applications we develop at Soni Tech to where a bit or a lot of Machine Learning is required. ### 10. Machine Learning on Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** Vaidehi P. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 04, 2017 **What do you like best about BigML?** The availability for storing on cloud is one of the best things I like about BigML. You can use to store your datasets or even trained models on cloud so that you can easily use them from anywhere you want. **What do you dislike about BigML?** The documentation don't really meet the needs. There is a lot more BigML can do which should be well explained in documentation. **Recommendations to others considering BigML:** While using it for first time use the provided datasets to well understand the process how it works so you can well format your own datasets later. **What problems is BigML solving and how is that benefiting you?** We are working on Machine Learning so with the help of BigML we have built many machine learning models which used for different purposes from classification to clustering. ### 11. Machine Learning on the fly **Rating:** 4.5/5.0 stars **Reviewed by:** Prabhat G. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 03, 2017 **What do you like best about BigML?** It provides easy to use APIs for machine learning algorithms as well as can be used a cloud storage for managing ML data, might be some dataset or a custom algorithm. **What do you dislike about BigML?** All the APIs require a internet connection, won't work for offline systems. Some kind of offline support is required. **Recommendations to others considering BigML:** There are various datasets provided and several examples too, I advise to have a look on them to help you understand how bigML works. **What problems is BigML solving and how is that benefiting you?** Using bigML APIs for machine algorithms that might otherwise need us work more on ML part not the project. ### 12. Great Machine Learning API **Rating:** 5.0/5.0 stars **Reviewed by:** Richa R. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** January 10, 2018 **What do you like best about BigML?** Along with algorithms it also provides a lot of data sets, which really helps one to understand how it really works and directly get hands on with the service. **What do you dislike about BigML?** It offers very less perks for example: very storage space with the free account, there should be more perks provision with the free account. **Recommendations to others considering BigML:** BigML provides a lot of datasets, make use of them. Personally they have helped me a lot. **What problems is BigML solving and how is that benefiting you?** Developing Machine Learning Softwares ### 13. Cloud Storage + ML Algorithms in one package **Rating:** 4.5/5.0 stars **Reviewed by:** Aarohi G. | CEO, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 03, 2017 **What do you like best about BigML?** - Available algorithms that can be used by simple API support. - There also different datasets available that can be used to train basic models. - Cloud Storage. - Supports multiple langua **What do you dislike about BigML?** Cannot work offline, everything works on web based API which requires internet. For even simple changes I need internet connection. There should be offline support. **Recommendations to others considering BigML:** There are not enough tutorials available, if you are a learner use scikit-learn. It's better has a good documentation as well as may tutorial videos are available on internet. **What problems is BigML solving and how is that benefiting you?** - Building machine learning based products using BigML API. - Using cloud storage feature to store trained models. ### 14. Cloud repository for Machine Learning models and much more **Rating:** 5.0/5.0 stars **Reviewed by:** Rishab G. | CEO, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2017 **What do you like best about BigML?** - Cloud storage feature, where you can store your trained models and data sets, which can be used anywhere just with the access of internet. - The tutorials, it is a great help! **What do you dislike about BigML?** The whole framework is API based so you cannot play with the data when you are offline. It is a major issue I am facing all the time. **Recommendations to others considering BigML:** If you are a learner first try scikit-learn or some other better library, as BigML doesn't provide offline support and more of a professional kind. **What problems is BigML solving and how is that benefiting you?** - Maintaining and managing Machine Learning models. - Developing ML based projects using the API, which is very simple to use. ### 15. Lots of data and easy to use (so far) **Rating:** 3.5/5.0 stars **Reviewed by:** Melanie C. | Founding Partner, International Trade and Development, Small-Business (50 or fewer emp.) **Reviewed Date:** December 02, 2017 **What do you like best about BigML?** We're still implementing but so far so good, we like the amount of predictive modules we can set up which will help us layer data for mapping and outreach into the communities we work in. **What do you dislike about BigML?** So far nothing other than making her we don't have an operator error during our set up to ensure we get the right predictive output. **What problems is BigML solving and how is that benefiting you?** We hope to use bigML in our research project that is currently focused in an urban area of over 1 million people. Part of what we hope to use bigML to do is predict technological (internet) usage based on survey data we collect over 5-9 months. The outcomes we hope will allow us to develop recommendations (policy and planning) to local governments, public institutions, and citizens. ### 16. Machine Learning with BigML **Rating:** 4.5/5.0 stars **Reviewed by:** Tejasvini V. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 02, 2017 **What do you like best about BigML?** - Support for cloud storage. - Sample datasets provided. - It has implemented algorithms for clustering and classification that can be used through API. **What do you dislike about BigML?** - In the free pack it offers very less storage and also limits the number of tasks. - Whole framework is API based and has no offline support. **Recommendations to others considering BigML:** Use scikit-learn before using bigML. It has good documentation and a lot of tutorials available on internet. **What problems is BigML solving and how is that benefiting you?** - Using as a cloud storage for trained models and datasets so I can remotely access them. - Using API of different algorithms to develop applications. ### 17. Elevate Machine Learning Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Haripreet R. | Senior Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 05, 2017 **What do you like best about BigML?** Cloud Storage facility where I can store useful datasets and trained models which can directly by accesed by API on the fly. **What do you dislike about BigML?** bigML is great platform for developing machine learning based projects. I am using it from a long time, honestly no dislikes. **Recommendations to others considering BigML:** It has a lot of examples and sample datasets, have a look at those would be a great help to beginners. **What problems is BigML solving and how is that benefiting you?** Implementing machine learning algorithms using APIs for developing projects for clients. ### 18. Great for lightweight data science tools **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 30, 2017 **What do you like best about BigML?** - Simple set up to get data loaded - Easy to set target variables - Easy to ignore variables **What do you dislike about BigML?** - Automatically creates date variables unnecessarily - Takes a bit of time to understand how to configure the various models - Processing concurrent threads is limited based on your tiers **Recommendations to others considering BigML:** There are many tools that have similar value propositions. This is a tool not meant for everyone, but most likely a business user who has a solid understanding of technical data science. If you do not have a background in data science, first take a crash course or considering purchasing a book to give more context on how to leverage data science methodologies. **What problems is BigML solving and how is that benefiting you?** Generally, we try to solve for objectives of both good and bad results (customer acquisition versus churn). By leveraging some machine learning out of the box, we can still get the majority of our insights without having to hire external consultants or a full time resource. ### 19. BigML - A Machine Learning Library **Rating:** 5.0/5.0 stars **Reviewed by:** Purav A. | Assistant Project Manager, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 02, 2017 **What do you like best about BigML?** - Cloud Storage for ML models. - Provides a wide range of datasets for classification to clustering models. - API is easy to use. **What do you dislike about BigML?** - No offline support. - It is complex at some extent, a better option would be scikit-learn: http://scikit-learn.org/ for beginners. **Recommendations to others considering BigML:** There are lot of datasets that you can easily use to train your models. You can also directly use the trained models through API. **What problems is BigML solving and how is that benefiting you?** - Using as a cloud repository for all of our trained models. - Developing projects with easy and simple-to-use API. ### 20. Ease Machine Learning with BigML **Rating:** 5.0/5.0 stars **Reviewed by:** Rayan V. | Senior Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 01, 2017 **What do you like best about BigML?** - Cloud Storage for Machine Learning models. - Support for multiple languages. - You can automate your Machine Learning workflows. **What do you dislike about BigML?** It totally works on API so you always need an internet connection and cannot operate when offline. **Recommendations to others considering BigML:** Use already implemented models for basic tasks they are efficient and also accurate. **What problems is BigML solving and how is that benefiting you?** - Using it as cloud storage of Machine Learning Models. - Building projects using highly efficient algorithms of BigML that can easily accessed by API. ### 21. Implement ML algorithms and Also a cloud storage for models **Rating:** 4.5/5.0 stars **Reviewed by:** Jaykishan B. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2017 **What do you like best about BigML?** - Cloud storage for models. - Detailed Documentation. - Easy to deploy on any platform as it is API based. **What do you dislike about BigML?** You always need a internet connection to play with the code as it totally works on API. **Recommendations to others considering BigML:** If you are learner don't directly jump to bigML, try scikit-learn: http://scikit-learn.org/ first then use this platform as it is bit complex then scikit-learn. **What problems is BigML solving and how is that benefiting you?** - Creating apps and software that are based on Machine Learning algorithms. - Cloud storage for developed models. ### 22. Boost Machine Learning with bigML **Rating:** 4.5/5.0 stars **Reviewed by:** Piyush T. | Senior Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** December 05, 2017 **What do you like best about BigML?** It is easy to manage and simple to use. We can directly implement machine learning models through API. **What do you dislike about BigML?** I personally think that there should be some kind of offline support. **Recommendations to others considering BigML:** Refer the examples, there are lot of them with good explanation. **What problems is BigML solving and how is that benefiting you?** Implementing Machine Learning algorithms using simple APIs in projects. ### 23. ML for enthusiastic early adopters with no background in ML **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Alternative Dispute Resolution | Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2017 **What do you like best about BigML?** Free trial, product support, with minimal experience for learners of ML **What do you dislike about BigML?** ML DL is still an expert field, for those struggling, BigML is a great stepping stone. **Recommendations to others considering BigML:** matelabs.in an interesting alternative. **What problems is BigML solving and how is that benefiting you?** projects ### 24. BigML **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Management Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** September 30, 2017 **What do you like best about BigML?** I don't really remember exactly how to use it but it was easy to use, which is important for me. **What do you dislike about BigML?** There wasn't much that I remembered that I disliked. **What problems is BigML solving and how is that benefiting you?** Efficiency in productivity - [View BigML pricing details and edition comparison](https://www.g2.com/products/bigml/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-23+16%3A39%3A17+-0500&secure%5Bsession_id%5D=b7fb8c33-1e08-4837-9bcc-b780fd45d20b&secure%5Btoken%5D=23133d4f3ac5892be83649586e008fba10221df3fddbf0ab920078a94ec641ab&format=llm_user) ## BigML Features **System** - Data Ingestion & Wrangling **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Model Development** - Feature Engineering **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top BigML Alternatives - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (494 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (804 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (203 reviews)