Artie vs. Confluent

For database-fed pipelines, yes. Artie replaces the Debezium-source-plus-Kafka-plus-sink-connector pattern with a single managed product and delivers data wherever it needs to land – warehouses (Snowflake, BigQuery, Redshift), lakehouses (Databricks, Iceberg), or downstream apps via the events API, with the same exactly-once durability you'd get from Kafka. Where Confluent is still the right tool: anything that isn't database-fed (app event streaming, microservice events, IoT telemetry), multi-producer event buses, and complex stream processing (Flink, ksqlDB, Kafka Streams). Artie isn't trying to replace Kafka itself, but the database-fed slice it owns now reaches across warehouses, lakehouses, and event consumers, not just analytics.

Yes. Most teams keep Confluent for what it's best at (app event streaming, stream processing, multi-consumer fan-out) and move only the database-fed pipelines to Artie. The two run side by side without conflict, and you stop paying Confluent for the slice they're not the best fit for.

Yes. Artie is Kafka-backed durability, which is how we deliver exactly-once delivery and replayable streams. The difference is you don't need to operate Kafka, manage Connect workers, design topic partitioning, configure Schema Registry, write sink merge logic, or pay for CKUs, storage, and cross-AZ egress. You configure the source and the destination; we own everything in between.

Effectively none. Artie writes to a separate set of tables in your warehouse, so your existing Confluent CDC pipeline and Artie can run simultaneously without conflict. Standard practice: run in parallel for 1–2 weeks, compare row counts and latency side by side, then cut your downstream views or dbt models over to Artie tables once you're confident. No rip-and-replace event, no destination migration, and your existing Kafka use cases are untouched.

No. Artie writes to your existing warehouse with the same destination schemas that your dbt models, dashboards, and queries already read from. The only change downstream is that data arrives in seconds, with warehouse-optimized MERGE behavior, instead of whatever your sink connector was doing. During parallel running, you can point a single dbt model at Artie tables to validate before any wider cutover.

Yes. Artie is SOC 2 Type II on every plan. HIPAA and BYOC (your VPC) deployments are available on Enterprise – same product, same UX, running on your network, encrypted with your keys. Column-level PII controls (include, exclude, or hash) are built in across all plans.