Fully Managed CDC Streaming Platform
Artie automates the entire data ingestion lifecycle — from capturing changes to merges, backfills, and observability. The modern way to replicate data: fast to deploy, no maintenance required.
Connect
Securely connect the source of your choice with instructions on the right hand panel. Configure networking via PrivateLink, SSH Tunnels, or IP Whitelisting.
Configure
Select the tables to replicate and enable “History Mode” for slowly changing dimension Type 2 tables for detailed audit logs of every row change. Configure table-specific settings like column exclusion and hashing, advanced backfill methods, and more.
Deploy
Connect your destination and deploy. Add additional metadata columns, change flush settings, and configure how row and column deletes are replicated.
Monitor
Track performance and pipeline health in real-time. Get proactive alerts, set up custom monitors, and integrate with Datadog and PagerDuty for more control and visibility.
Delivering more than just data pipelines
The backbone
of your data strategy
Faster time to value
Engineering time
where it counts
Build your roadmap with confidence - Artie is the foundational pipeline that you can rely on at terabyte scale
Deliver insights faster and power data products with sub-minute latency
Free your engineering team from pipeline maintenance and focus on building products that delight customers
Internal sentiment is extremely positive. Our A/B testing framework measures much faster and we have higher data integrity now. This means the whole company can move faster and make decisions quicker. Artie is business critical and our day to day would be significantly tougher without it.
Artie replaced our time-consuming ingestion workflows with a reliable, low-maintenance solution. It cut our overhead by ~90% and got MongoDB replication running fast—something we couldn’t do before. Artie is now core to our AI roadmap and future LLM initiatives.
Artie is powering our most important tables today. The product and engineering teams at Tatango are able to provide near real-time sending and performance related analytics to our customers, enabling them to focus on what matters most; fundraise.
Discovering Artie has been a game-changer in our data management strategy. In an arena where real-time access to data can define market leadership, their tool bridges the gap between our database and data warehouse with seamless, zero-latency synchronization. It's not just about speed; the fidelity of our data remains uncompromised with no unnecessary data type.
Artie has been an absolute game-changer for our CDC ETL process. Before integrating Artie into our workflow, we struggled with inefficiencies and time-consuming maintenance that drained our resources. Since adopting Artie, we've experienced a remarkable boost in productivity and a significant reduction in time required to maintain our ETL processes.
Purpose-built for Engineers, Loved by Teams
History mode
Audit log tables (SCD Type 2) to maintain a detailed, audit-ready history of table changes
Real-time analytics
Monitor pipeline metrics in Artie and manage them seamlessly in Datadog
Flexible deployments
Cloud or on-premise (BYOC), built for security and regulated industries
Terraform-friendly
Prefer to have infrastructure as code? We've got you covered
Schema drift support
Artie adapts to schema changes and keeps teams aligned with notifications
Non-intrusive backfills
Enjoy non-disruptive, online backfills with flexible, parallel strategies and replica support
Eventual consistency
Built on Kafka, Artie ensures reliable, up-to-date data with eventual consistency
Fault tolerance
Self-healing pipelines with schema inference and Kafka ensure resilience
New feature
Stay tuned...
Built for enterprise scale and security
Artie replicates your data securely with encryption in transit and at rest - without ever storing your data. Deploy Artie in your own VPC (BYOC) or use Artie Cloud, with the same product experience.
How Artie streams your data
Connect your databases and warehouses, and select the tables you’d like to replicate
CDC events stream from your source database into Kafka
Artie reads Kafka events and loads changes into a staging table
Schema changes are automatically detected and applied
Data types are reconciled, and the staging table merges into the target table
Artie commits Kafka offsets after a successful merge to ensure consistency