Elasticsearch Wordmark
The Elasticsearch wordmark icon represents Elasticsearch, a popular search and analytics engine used for data indexing and searching.
Exports at 24 × 24 px
Code
Elasticsearch Wordmark in your framework
In any framework. Customize it above, and the code follows.
export const ElasticsearchWordmarkIcon = (props: React.SVGProps<SVGSVGElement>) => (
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 128 128" {...props}>
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</svg>
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Elasticsearch Wordmark is tagged data, storage, analytics and 1 more. Related tags follow; each opens its icons from every library.
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FAQ
Frequently asked questions
What the Elasticsearch Wordmark icon means and where it's used, then how to install, style, label and license it.
The Elasticsearch wordmark icon represents Elasticsearch, a popular search and analytics engine used for data indexing and searching.
Elasticsearch is widely used in data analysis and search fields, and its icon appears in various data-related tools and platforms.
The Elasticsearch wordmark icon communicates a sense of fast and scalable search capabilities, helping users understand that the engine is used for data analysis and insights.
Elasticsearch Wordmark is one of 772 icons in Devicon Plain, made by konpa and released under MIT. It is drawn on a 128 × 128 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 ElasticsearchWordmarkIcon to components/icons/devicon-plain-elasticsearch-wordmark.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 ElasticsearchWordmarkIcon 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 Elasticsearch Wordmark icon, or any of 772 Devicon Plain icons, and install it from a prompt.
It's drawn in currentColor, so it takes the text color wherever you use it: a class like text-primary recolors it. To bake a color in, set one in Customize before you copy.
Set width and height on the component, or a class like size-6. It's drawn on a 128 × 128 grid, so it stays sharp at any size. Customize also sets the size it exports at, its padding and rotation.
Yes. It follows the text color, so with text-foreground (or any theme token) it changes with your light and dark themes. 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="Elasticsearch Wordmark", so screen readers say what it does.
Yes. ElasticsearchWordmarkIcon passes every SVG prop to the svg element, so <ElasticsearchWordmarkIcon 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.
Yes. MIT allows commercial use; keep the license notice when you ship the icons' source files. The full terms are in the license, linked on this page.
No visible credit is required: MIT only asks that you keep the license notice if you ship the icons' source files. Icons installed with the shadcn CLI already start with a comment naming Devicon Plain, konpa and the license.
Yes. Copying and downloading it is free, and the shadcn CLI install only needs a free account.
Its tags are data, storage, analytics and search. Each tag page lists the icons that carry it from every library, which is the quickest way to find a match for Elasticsearch Wordmark in another set.
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