Adding Artie to the Integrations Page

docs/integrations/data-ingestion/data-ingestion-index.md

@@ -17,6 +17,7 @@ For more information check out the pages below:
 | [Apache Spark](/integrations/apache-spark)                       | A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters                                                                                                        |
 | [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                                                                                                        |
 | [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.     |
+| [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.                                          |
 | [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. |
 | [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. |
 | [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.                                                                                 |

docs/integrations/data-ingestion/etl-tools/artie-and-clickhouse.md

@@ -0,0 +1,72 @@
+---
+sidebar_label: 'Artie'
+sidebar_position: 12
+keywords: ['clickhouse', 'Artie', 'connect', 'integrate', 'cdc', 'etl', 'data integration', 'real-time', 'streaming']
+slug: /integrations/artie
+description: 'Stream data into ClickHouse using Artie CDC streaming platform'
+title: 'Connect Artie to ClickHouse'
+doc_type: 'guide'
+---
+
+import Image from '@theme/IdealImage';
+import artie_signup from '@site/static/images/integrations/data-ingestion/etl-tools/artie/artie_signup.png';
+import artie_edit_pipeline from '@site/static/images/integrations/data-ingestion/etl-tools/artie/artie_edit_pipeline.png';
+import analytics from '@site/static/images/integrations/data-ingestion/etl-tools/artie/analytics.png';
+import monitor from '@site/static/images/integrations/data-ingestion/etl-tools/artie/monitor.png';
+import schema_notification from '@site/static/images/integrations/data-ingestion/etl-tools/artie/schema_notification.png';
+import ConnectionDetails from '@site/docs/_snippets/_gather_your_details_http.mdx';
+
+# Connect Artie to ClickHouse
+
+<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.
+
+## Overview {#overview}
+
+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.
+
+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.
+
+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.
+
+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.
+
+<VerticalStepper headerLevel="h2">
+
+## Create an Artie account {#1-create-an-artie-account}
+
+Visit <a href="https://www.artie.com/contact" target="_blank">artie.com/contact</a> and complete the form to request access.
+
+<Image img={artie_signup} size="md" border alt="Artie signup page" />
+
+## Find your ClickHouse credentials {#2-find-your-clickhouse-credentials}
+
+After creating a service in ClickHouse Cloud, find the following required settings:
+
+<ConnectionDetails />
+
+## Create a new pipeline in Artie {#3-create-a-new-pipeline-in-artie}
+
+Head over to Artie with the information you have gathered from previous steps and create a new pipeline by following a 3 step process.
+
+1. **Connect your source** - Configure your source database (Postgres, MySQL, Events API, etc)
+2. **Choose the tables you want to replicate** - Select which tables to sync to ClickHouse
+3. **Connect your destination** - Enter your ClickHouse credentials
+
+<Image img={artie_edit_pipeline} size="lg" border alt="Artie Edit Pipeline interface" />
+
+</VerticalStepper>
+
+## Contact Us {#contact-us}
+
+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>.
+
+## Product Screenshots {#product-screenshots}
+
+Analytics Portal
+<Image img={analytics} size="md" border alt="Analytics Portal"/>
+
+Pipeline and table specific monitors
+<Image img={monitor} size="md" border alt="Built-in monitoring"/>
+
+Daily schema change notifications
+<Image img={schema_notification} size="md" border alt="Schema notification"/>