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Merge pull request #5198 from Tang8330/adding-artie
Adding Artie to the Integrations Page
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docs/integrations/data-ingestion/data-ingestion-index.md

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| [Apache Spark](/integrations/apache-spark) | A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters |
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| [Apache Flink](https://github.com/ClickHouse/flink-connector-clickhouse) | Real-time data ingestion and processing into ClickHouse through Flink's DataStream API with support for batch writes |
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| [Amazon Glue](/integrations/glue) | A fully managed, serverless data integration service provided by Amazon Web Services (AWS) simplifying the process of discovering, preparing, and transforming data for analytics, machine learning, and application development. |
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| [Artie](/integrations/artie) | A fully managed real-time data streaming platform that replicates production data into ClickHouse, unlocking customer-facing analytics, operational workflows, and Agentic AI in production. |
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| [Azure Synapse](/integrations/azure-synapse) | A fully managed, cloud-based analytics service provided by Microsoft Azure, combining big data and data warehousing to simplify data integration, transformation, and analytics at scale using SQL, Apache Spark, and data pipelines. |
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| [Azure Data Factory](/integrations/azure-data-factory) | A cloud-based data integration service that enables you to create, schedule, and orchestrate data workflows at scale. |
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| [Apache Beam](/integrations/apache-beam) | An open-source, unified programming model that enables developers to define and execute both batch and stream (continuous) data processing pipelines. |
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---
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sidebar_label: 'Artie'
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sidebar_position: 12
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keywords: ['clickhouse', 'Artie', 'connect', 'integrate', 'cdc', 'etl', 'data integration', 'real-time', 'streaming']
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slug: /integrations/artie
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description: 'Stream data into ClickHouse using Artie CDC streaming platform'
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title: 'Connect Artie to ClickHouse'
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doc_type: 'guide'
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---
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import Image from '@theme/IdealImage';
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import artie_signup from '@site/static/images/integrations/data-ingestion/etl-tools/artie/artie_signup.png';
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import artie_edit_pipeline from '@site/static/images/integrations/data-ingestion/etl-tools/artie/artie_edit_pipeline.png';
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import analytics from '@site/static/images/integrations/data-ingestion/etl-tools/artie/analytics.png';
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import monitor from '@site/static/images/integrations/data-ingestion/etl-tools/artie/monitor.png';
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import schema_notification from '@site/static/images/integrations/data-ingestion/etl-tools/artie/schema_notification.png';
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import ConnectionDetails from '@site/docs/_snippets/_gather_your_details_http.mdx';
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# Connect Artie to ClickHouse
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<a href="https://www.artie.com/" target="_blank">Artie</a> is fully managed real-time data streaming platform that replicates production data into ClickHouse, unlocking customer-facing analytics, operational workflows, and Agentic AI in production.
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## Overview {#overview}
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Artie is the modern data infrastructure layer for the AI era — a fully managed real-time data streaming platform that keeps production data continuously in sync with your warehouse.
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As companies activate their warehouses for real-time AI workloads, operational analytics, and customer-facing data products, they're standardizing on infrastructure that's fast, reliable, and built for scale.
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We give companies the kind of streaming pipelines and deep observability that Netflix, DoorDash, and Instacart built in-house, without hiring 10+ engineers and spending 1-2 years on platform work. Artie automates the entire ingestion lifecycle — change capture, merges, backfills, and observability — with zero engineering maintenance and deploys in minutes.
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Leaders like ClickUp, Substack, and Alloy use Artie not just to solve today's pipeline issues, but to future-proof their data stack as their AI strategy accelerates.
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<VerticalStepper headerLevel="h2">
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## Create an Artie account {#1-create-an-artie-account}
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Visit <a href="https://www.artie.com/contact" target="_blank">artie.com/contact</a> and complete the form to request access.
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<Image img={artie_signup} size="md" border alt="Artie signup page" />
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## Find your ClickHouse credentials {#2-find-your-clickhouse-credentials}
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After creating a service in ClickHouse Cloud, find the following required settings:
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<ConnectionDetails />
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## Create a new pipeline in Artie {#3-create-a-new-pipeline-in-artie}
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Head over to Artie with the information you have gathered from previous steps and create a new pipeline by following a 3 step process.
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1. **Connect your source** - Configure your source database (Postgres, MySQL, Events API, etc)
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2. **Choose the tables you want to replicate** - Select which tables to sync to ClickHouse
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3. **Connect your destination** - Enter your ClickHouse credentials
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<Image img={artie_edit_pipeline} size="lg" border alt="Artie Edit Pipeline interface" />
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</VerticalStepper>
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## Contact Us {#contact-us}
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If you have any questions, please refer to our <a href="https://www.artie.com/docs/destinations/clickhouse" target="_blank">ClickHouse docs</a> or reach out to the team at <a href="mailto:[email protected]">[email protected]</a>.
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## Product Screenshots {#product-screenshots}
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Analytics Portal
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<Image img={analytics} size="md" border alt="Analytics Portal"/>
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Pipeline and table specific monitors
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<Image img={monitor} size="md" border alt="Built-in monitoring"/>
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Daily schema change notifications
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<Image img={schema_notification} size="md" border alt="Schema notification"/>

sidebars.js

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},
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'integrations/data-ingestion/azure-synapse/index',
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'integrations/data-ingestion/etl-tools/apache-beam',
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'integrations/data-ingestion/etl-tools/artie-and-clickhouse',
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{
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type: 'category',
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label: 'Google Dataflow',
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