Apache Spark
The Apache Spark icon represents Apache Spark, an open-source unified analytics engine for large-scale data processing.
Exports at 46 × 24 px
Code
Apache Spark in your framework
In any framework. Customize it above, and the code follows.
export const ApacheSparkIcon = (props: React.SVGProps<SVGSVGElement>) => (
<svg xmlns="http://www.w3.org/2000/svg" width="46" height="24" viewBox="0 0 512 266" {...props}>
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</svg>
);Other libraries
Apache Spark in 1 more libraries
Each library draws it its own way. Open one to compare.
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Apache Spark is tagged analytics, processing, big data and 1 more. Related tags follow; each opens its icons from every library.
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FAQ
Frequently asked questions
What the Apache Spark icon means and where it's used, then how to install, style, label and license it.
The Apache Spark icon represents Apache Spark, an open-source unified analytics engine for large-scale data processing. Spark provides a powerful and scalable way to process big data, perform analytics, and build machine learning models.
In real-world applications, the Apache Spark icon appears in various software and platforms related to big data, analytics, and machine learning, such as Apache Spark website, data processing tools, and analytics platforms.
From a UX perspective, the Apache Spark icon communicates big data analytics, scalability, and distributed computing, helping users understand the functionality and purpose of data processing platforms.
Apache Spark is one of 2,063 icons in SVG Logos, made by Gil Barbara and released under CC0. It is drawn on a 512 × 266 grid.
Sign in (it's free), then open Get icon, Install with shadcn CLI, and pick your package manager to copy the command. It adds ApacheSparkIcon to components/icons/logos-apache-spark.tsx: one file, a size prop (24 by default) and every SVG prop, with no icon package.
Copy it as React (from Get icon, or the Code section): a typed ApacheSparkIcon component you paste into your project, with no package to install. Only the icons you import reach your bundle. It works in Next.js and any React app.
Open Get icon, then Copy as code, and pick Vue, Svelte, Angular, Solid or Preact; the Code section shows each one too. Every version is one self-contained component with the SVG inside, and SVG and data URL copies are there for plain HTML and CSS.
With Pro, the shadcn.io MCP server lets Claude Code, Cursor or any MCP client find the Apache Spark icon, or any of 2,063 SVG Logos icons, and install it from a prompt.
It's multicolor, so it keeps its own colors.
Set width and height on the component, or a class like size-6. It's drawn on a 512 × 266 grid, so it stays sharp at any size. Customize also sets the size it exports at, its padding and rotation.
Yes. It keeps its own colors in light and dark mode, so check it against both backgrounds. The icon is a vector, so it needs no separate dark asset.
Next to a visible label it's decoration: add aria-hidden="true" so screen readers skip it. Standing alone, as in an icon button, give the button a name instead, like aria-label="Apache Spark", so screen readers say what it does.
Yes. ApacheSparkIcon passes every SVG prop to the svg element, so <ApacheSparkIcon aria-hidden="true" /> works, and so do role="img" with aria-label, or a title child, when it carries meaning on its own.
Yes. Open Get icon, then Download file: SVG for code or design tools like Figma; PNG, WebP or JPEG at 512px; or an ICO favicon with 16, 32 and 48px inside. Each one uses what you set in Customize.
CC0 puts the icons in the public domain: use them anywhere, with no conditions. The full terms are in the license, linked on this page.
No. CC0 gives the icons to the public domain, so no credit and no notice is required. Icons installed with the shadcn CLI still start with a comment naming SVG Logos, Gil Barbara and the license.
Yes. Copying and downloading it is free, and the shadcn CLI install only needs a free account.
1 other library draws an icon called Apache Spark. The Other libraries section on this page shows each one, so you can compare them and open the one that fits your style.
Its tags are analytics, processing, big data and ML. Each tag page lists the icons that carry it from every library, which is the quickest way to find a match for Apache Spark in another set.
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