--- title: Sparkling Water Reviews meta_title: 'Sparkling Water Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Sparkling Water works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 3 scale: '5' date_modified: '2026-06-30' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Sparkling Water Reviews **Vendor:** H2O.ai **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.7/5.0 **Total Reviews:** 3 ## About Sparkling Water Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. Spark is an elegant and powerful general-purpose, open-source, in-memory platform with tremendous momentum. H2O is an in-memory platform for machine learning that is reshaping how people apply math and predictive analytics to their business problems. Integrating these two open-source environments provides a seamless experience for users who want to make a query using Spark SQL, feed the results into H2O to build a model and make predictions, and then use the results again in Spark. For any given problem, better interoperability between tools provides a better experience. ## Sparkling Water Pros & Cons **What users like:** - Users find Sparkling Water very **easy to use** , making it a practical choice for hydration on-the-go. (1 reviews) ## Sparkling Water Reviews ### 1. ML in distributed env like Spark? Hello Sparkling Water **Rating:** 4.0/5.0 stars **Reviewed by:** Anson A. | Data Czar, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2021 **What do you like best about Sparkling Water?** H20 training can leverage Spark's many data connectors, munging capabilities etc. POJO/MOJO + Spark is sufficient for scoring. Sparkling water is great fo rthis. Batching or nightly **What do you dislike about Sparkling Water?** Only works well int he Spark Ecosystem. H20 training in other environments not as portable. Will never be good for REST API. Does not work in real-time as one would want. **What problems is Sparkling Water solving and how is that benefiting you?** Created ML applications with Spark and H2O APIs, utilizing Python interface via PySpark for advanced foot traffic detection in-store and brand loyalty via online or mobile ads. ### 2. Amazing as a software package in R **Rating:** 5.0/5.0 stars **Reviewed by:** Amar C. | Graduate Teaching Assistant, Higher Education, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2018 **What do you like best about Sparkling Water?** Automated library and minimum user effort required. The best part is the outstanding acuracy it provides in terms of the results. Also, plotting graphs is very easy. It handles the missing data well. Also takes care of the unballance in the data. **What do you dislike about Sparkling Water?** It is a black box, in spite the outstanding accuracy. There should be a better documentation of the algoritham running in the background. **Recommendations to others considering Sparkling Water:** If you want to know the background workings of the algorithms, it does not tell you any. You should consider using another software. **What problems is Sparkling Water solving and how is that benefiting you?** Predicting backorder propagation. The results are outstanding. The AUC by plotting the ROC curve was excellent. ### 3. Sparkling Water **Rating:** 5.0/5.0 stars **Reviewed by:** Arun Chandra K. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2017 **What do you like best about Sparkling Water?** H2o is becoming better and better day by day. The JVM is fast in analysis. The number of operations from data preprocessing to model building have been increasing and very effective. I love the GUI interface and the speed at which the H2o df help in doing the operations like slicing, dicing , data cleaning and model building on Spark Cluster. Sparkling is the best i know for various Big data problems. **What do you dislike about Sparkling Water?** Not all the Machine learning algorithms are supported by H2o.ai. Algorithms like XGBoost and Neural networks needs to be added to the list of algorithms. **Recommendations to others considering Sparkling Water:** Need more supporting Algorithms **What problems is Sparkling Water solving and how is that benefiting you?** I used it for Classification and Regression problems. Need to explore more of H2o.ai and how it works on dealing a Big data problem. ## Sparkling Water Discussions - [What does Sparkling Water do?](https://www.g2.com/discussions/sparkling-water-what-does-sparkling-water-do) - [What does Sparkling Water do?](https://www.g2.com/discussions/what-does-sparkling-water-do) - [What is sparkling water machine learning?](https://www.g2.com/discussions/what-is-sparkling-water-machine-learning) - [What is Spark for water?](https://www.g2.com/discussions/what-is-spark-for-water) - [What is Sparkling Water software?](https://www.g2.com/discussions/what-is-sparkling-water-software) - [View Sparkling Water pricing details and edition comparison](https://www.g2.com/products/sparkling-water/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-10+20%3A37%3A27+-0500&secure%5Bsession_id%5D=26cc504c-d3ad-4fb9-9dc4-b2f9d4ca7d9b&secure%5Btoken%5D=e11f5413a9d67ee0d5e247b359799237f421e01680a58128057eaf4fd55a85b3&format=llm_user) ## Sparkling Water Features **Integration - Machine Learning** - Integration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm ## Top Sparkling Water Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,053 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,942 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,282 reviews)