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feat: basic white theme (#437)
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docs/index.mdx

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# Introduction
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import Quickstart from '@site/src/components/Quickstart'
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import Grid, { GridItem } from '@site/src/components/Grid'
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import Quickstart from '@site/src/components/Quickstart';
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import Grid, { GridItem } from '@site/src/components/Grid';
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**Timeplus** is a simple, powerful, and cost-efficient vectorized stream processing platform built in modern C++. Its core processing engine is a **single binary with no external dependencies**, making it easy to operate in production — a key differentiator compared to other solutions.
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**Timeplus** is a simple, powerful, and cost-efficient vectorized stream processing platform built in modern C++. Its core processing engine is a **single binary with no external dependencies**, making it easy to operate in production — a key differentiator compared to other solutions.
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Timeplus provides end-to-end capabilities that help data teams process **both streaming and historical data** quickly and intuitively. It’s designed to be accessible for organizations of all sizes and industries, enabling data engineers and platform teams to unlock the value of streaming data using **streaming SQL**.
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Timeplus provides end-to-end capabilities that help data teams process **both streaming and historical data** quickly and intuitively. It’s designed to be accessible for organizations of all sizes and industries, enabling data engineers and platform teams to unlock the value of streaming data using **streaming SQL**.
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Timeplus is available in multiple editions:
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- **[Timeplus Proton](/proton)** – the open-source core engine, available on [GitHub](https://github.com/timeplus-io/proton) under the Apache 2.0 License. It is a **fast, lightweight streaming SQL engine** ideal for building streaming pipelines.
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- **[Timeplus Enterprise](https://www.timeplus.com/product)** – the production-ready commercial product, designed to run and scale anywhere, from the edge to your data center, and customizable to your specific configuration needs.
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- **[Timeplus Proton](/proton)** – the open-source core engine, available on [GitHub](https://github.com/timeplus-io/proton) under the Apache 2.0 License. It is a **fast, lightweight streaming SQL engine** ideal for building streaming pipelines.
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- **[Timeplus Enterprise](https://www.timeplus.com/product)** – the production-ready commercial product, designed to run and scale anywhere, from the edge to your data center, and customizable to your specific configuration needs.
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Timeplus makes it easy to connect to diverse data sources—including **Apache Kafka, Confluent Cloud, Redpanda, NATS, WebSocket/SSE, CSV uploads**, and more. Users can explore streaming patterns with SQL queries, send real-time insights and alerts to other systems or individuals, and build dashboards and visualizations to monitor and analyze data in real time.
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Timeplus makes it easy to connect to diverse data sources—including **Apache Kafka, Confluent Cloud, Redpanda, NATS, WebSocket/SSE, CSV uploads**, and more. Users can explore streaming patterns with SQL queries, send real-time insights and alerts to other systems or individuals, and build dashboards and visualizations to monitor and analyze data in real time.
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Still curious about [the benefits of using Timeplus](/why-timeplus)? Explore our [showcases](/showcases) to see how customers leverage our unified streaming and historical processing platform, and dive into the [architecture](/architecture) and [cluster](/cluster) design to learn more about the technical internals and differentiators.
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Still curious about [the benefits of using Timeplus](/why-timeplus)? Explore our [showcases](/showcases) to see how customers leverage our unified streaming and historical processing platform, and dive into the [architecture](/architecture) and [cluster](/cluster) design to learn more about the technical internals and differentiators.
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## Get started with Timeplus
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<Quickstart href="/quickstart">
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<h3>Quickstart</h3>
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<h3>Quickstart</h3>
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<p>Follow along with step-by-step instructions for running Timeplus Enterprise on your laptop and loading sample IoT, user login, or DevOps data.</p>
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<p>
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Follow along with step-by-step instructions for running Timeplus Enterprise on
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your laptop and loading sample IoT, user login, or DevOps data.
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</p>
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</Quickstart>
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## Jump into stream processing and analytics
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<Grid>
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<GridItem href="/connect-data-in">
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<h3>Connect Data In &rarr;</h3>
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<p>
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Connect Timeplus to Apache Kafka, Apache Pulsar, Confluent Cloud, or push with a REST API, SDKs, and beyond.
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</p>
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</GridItem>
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<GridItem href="/query-syntax">
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<h3>Write SQL queries &rarr;</h3>
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<p>
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Run streaming query by using functions like transformations, joins, aggregation, windowed processing, substreams, and more.
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</p>
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</GridItem>
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<GridItem href="/viz">
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<h3>Visualize data &rarr;</h3>
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<p>
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View real-time results for any query, create custom dashboards to tell stories about your data, or integrate with external BI systems.
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</p>
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</GridItem>
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</Grid>
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## Core concepts and functions
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<Grid>
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<GridItem href="/working-with-streams">
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<h3>Streams &rarr;</h3>
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<p>
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Append-only streams, mutable streams, external streams and external tables to read or write data from other systems.
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</p>
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</GridItem>
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<GridItem href="/materialized-view">
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<h3>Materialized Views &rarr;</h3>
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<p>
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Data streaming processing pipeline via streaming SQL. The results can be written to native Timeplus stream or external systems.
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</p>
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</GridItem>
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<GridItem href="/functions">
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<h3>Functions &rarr;</h3>
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<p>
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Thousand of built-in SQL functions are available in Timeplus. You can also define own functions (UDF) with JavaScript, Python, SQL.
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</p>
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</GridItem>
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</Grid>

docusaurus.config.js

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},
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navbar: {
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title: "Docs",
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style: "dark",
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hideOnScroll: true,
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// style: "dark",
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logo: {
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alt: "Timeplus",
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src: "img/Option1_B.png",
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],
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},
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footer: {
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style: "dark",
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// style: "dark",
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links: [
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{
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title: " ",
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],
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},
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colorMode: {
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defaultMode: "dark",
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disableSwitch: true,
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// defaultMode: "dark",
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disableSwitch: false,
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// respectPrefersColorScheme: true,
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},
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}),
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i18n: {

src/css/custom.css

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