OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
AI Infrastructure & Serving

Sparkling Water

Sparkling Water is a Scala-based integration project that brings H2O machine-learning functionality into Apache Spark clusters.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Sparkling Water — OpenViST project profile in AI Infrastructure & Serving.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Consider it when a machine-learning workflow or cluster application already uses Apache Spark and needs H2O functionality within that environment.

Who it is for

  • Teams building machine-learning workflows on Apache Spark that want to incorporate H2O functionality.
  • Developers integrating H2O capabilities into existing Spark cluster applications.

Documented uses

  • Use H2O functionality in Spark-based machine-learning workflows.
  • Bring H2O capabilities into applications running with Spark clusters.
Before you choose

Requirements & limits

  • The project is infrastructure for integrating H2O with Spark, not documented here as a standalone model-serving application.
  • The repository lists Scala as its primary language and Apache-2.0 as its license.
  • The project links to documentation for Sparkling Water 3.3 latest-stable.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Choose Sparkling Water documentation and binaries for a Spark version

Locate the user documentation and binary download page for a listed Spark version.

Before you start

  • Choose a Spark version listed by the project: 2.3, 2.4, or 3.0 through 3.5.

Steps

  1. Open the Sparkling Water README.

  2. Under Getting Started, select the User Documentation link for your Spark version.

  3. Select the corresponding Download Binaries link to open that version’s binary download page.

Expected outcome

You reach the version-specific documentation and binary download page for the selected Spark version.

Guide limitations

  • The README lists versions 2.3, 2.4, and 3.0 through 3.5; it does not document installation or execution steps here.
  • The README states releases are published to Maven Central but provides no Maven coordinates in the available content.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
h2oai/sparkling-water · Official homepage title · retained in its source language
How we review sourcesSuggest a correction