Artie vs. Fivetran

For database CDC, Artie is a direct replacement. Teams have fully switched their Postgres, MySQL, MongoDB, and other pipelines from Fivetran to Artie for lower latency, better reliability, and predictable pricing. Artie writes to the same warehouse you're using today (Snowflake, BigQuery, Redshift, Databricks, Iceberg, and more), and your existing dbt models and dashboards keep working – just on fresher data.

For SaaS connectors (Salesforce, HubSpot, Stripe, ad networks), most teams either keep their current ELT tool for that slice while they switch databases over, or move SaaS ingestion to a lower-cost option. Either pattern works as Artie writes alongside anything in the same warehouse without conflict.

Effectively none. Artie writes to a separate set of tables in your warehouse, so both pipelines 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 dual-write contortions, no destination migration.

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 instead of minutes/hours, so your transformations and visualizations work without modification. During parallel running, you can even 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.