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For years, getting data from your production database to your warehouse in real time meant one thing or another: Kafka and Debezium, a legacy tool you inherited, or custom pipeline code someone wrote three jobs ago.
Either way, you're still maintaining a pipeline. With Artie, you don’t have to – there’s no Kafka to manage, no Debezium to configure, no pipeline code to maintain.
Today, Artie is yours to try. Sign up with your work email, connect your source, pick your destination, and start replicating without needing to talk to our team. Most run their first sync in less than an hour.
What Artie does
Artie is a real-time data replication tool. It captures every row-level change in your source database (inserts, updates, deletes) and streams them to your warehouse or storage layer continuously, in under 60 seconds. It does this via change data capture (CDC).
That means your dashboards reflect what's actually in production. Your AI pipelines aren't reasoning over yesterday's snapshot. Your analytics team isn't filing tickets at 9am asking why the numbers don't add up. Your executives aren't making decisions off numbers that are already wrong.
Sub-minute latency used to be a nice-to-have. It's now the baseline for data that's actually useful.
The hard parts, already solved
Most CDC implementations follow the same arc: stand up Kafka, wrestle with Debezium configuration, write and test consumer code, then maintain everything as your schema evolves and your data volume grows. On a good timeline, you're done in three to six months. On a realistic one, you're still patching things two years later.
With Artie, none of that is your problem. There's no infrastructure to stand up and no pipeline code to write. You connect your source, choose your destination, and Artie handles replication, including schema evolution, exactly-once delivery, fan-in, and failure recovery.
The things that take most teams a year or two to get right are already solved, on day one.
Built for the stack you're actually running
Artie supports the databases and destinations teams use in production.
Sources: PostgreSQL, Amazon Aurora/RDS, GCP CloudSQL, Supabase, MySQL, Microsoft SQL Server, MongoDB, DocumentDB, DynamoDB, Oracle, CockroachDB, Amazon Keyspaces (Cassandra), and an Events API.
Destinations: Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, Microsoft SQL Server, MotherDuck, S3, GCS, Iceberg REST Catalog, and Amazon S3 Tables.
Pricing
Artie's Growth plan is usage-based, priced by rows replicated. Starting at:
- $500/month billed annually
- $600/month billed monthly
Try it free for 14 days, no credit card required. Cost scales with volume, so higher usage unlocks better per-row rates. And backfills are always free: when you connect a new source, you only pay for the ongoing stream of changes, not for moving your existing data over.
For teams with more complex requirements, such as private networking, dedicated infrastructure, and compliance, enterprise plans are available. Get in touch to learn more.
Start replicating today
Sign up, connect your source and destination, and see real-time replication running in your own environment – not a demo, not a sandbox, but against your actual data.
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