Real-time data replication,
without the infrastructure.

Artie streams every change from your production databases to Snowflake, BigQuery, Iceberg, and more. Sub-minute latency, exactly-once delivery, no batch windows.

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1 pipeline has undeployed changes.

Pipelines

11 streaming, 1 paused

Monitors

No active alerts

Webhooks

All delivering

Kafka

14 topics, 6 groups

Rows processed

215.2M

Recent activity

Change	By	Outcome	When
added table public.refunds in Orders to Snowflake	Sam Rivera	Succeeded	a few seconds ago
finished deploying pipeline Billing to BigQuery	Artie	Succeeded	a minute ago
added table public.invoices in Billing to BigQuery	Priya Shah	Succeeded	2 minutes ago
finished rebalancing Kafka cluster prod-events	Artie	Succeeded	3 minutes ago

Managed means our engineers get paged, not yours.

The promises
behind the pipeline.

Streaming

Billing to BigQueryReplication lag 4s

Streaming

Events to DatabricksReplication lag 11s

Streaming

Accounts to SnowflakeReplication lag 6s

Streaming

Ledger to SnowflakeReplication lag 9s

Streaming

Sessions to ClickHouseReplication lag 3s

Streaming

Claims to DatabricksReplication lag 7s

Streaming

Billing to BigQueryReplication lag 4s

Streaming

Events to DatabricksReplication lag 11s

Streaming

Accounts to SnowflakeReplication lag 6s

Streaming

Ledger to SnowflakeReplication lag 9s

Streaming

Sessions to ClickHouseReplication lag 3s

Streaming

Claims to DatabricksReplication lag 7s

Streaming

Catalog to DatabricksReplication lag 12s

Streaming

Shipments to SnowflakeReplication lag 8s

Streaming

Users to ClickHouseReplication lag 2s

Streaming

Invoices to DatabricksReplication lag 10s

Streaming

Inventory to BigQueryReplication lag 5s

Streaming

Payments to SnowflakeReplication lag 6s

Streaming

Catalog to DatabricksReplication lag 12s

Streaming

Shipments to SnowflakeReplication lag 8s

Streaming

Users to ClickHouseReplication lag 2s

Streaming

Invoices to DatabricksReplication lag 10s

Streaming

Inventory to BigQueryReplication lag 5s

Streaming

Payments to SnowflakeReplication lag 6s

Streaming

Metrics to ClickHouseReplication lag 4s

Streaming

Support to BigQueryReplication lag 5s

Streaming

Orders to SnowflakeReplication lag 8s

Streaming

Carts to DatabricksReplication lag 9s

Streaming

Refunds to SnowflakeReplication lag 7s

Streaming

Ledger to SnowflakeReplication lag 9s

Streaming

Sessions to ClickHouseReplication lag 3s

Streaming

Claims to DatabricksReplication lag 7s

Streaming

Billing to BigQueryReplication lag 4s

Streaming

Events to DatabricksReplication lag 11s

Streaming

Accounts to SnowflakeReplication lag 6s

Streaming

Ledger to SnowflakeReplication lag 9s

Streaming

Sessions to ClickHouseReplication lag 3s

Streaming

Claims to DatabricksReplication lag 7s

Streaming

Billing to BigQueryReplication lag 4s

Streaming

Events to DatabricksReplication lag 11s

Streaming

Accounts to SnowflakeReplication lag 6s

Streaming

Users to ClickHouseReplication lag 2s

Streaming

Invoices to DatabricksReplication lag 10s

Streaming

Inventory to BigQueryReplication lag 5s

Streaming

Payments to SnowflakeReplication lag 6s

Streaming

Catalog to DatabricksReplication lag 12s

Streaming

Shipments to SnowflakeReplication lag 8s

Streaming

Users to ClickHouseReplication lag 2s

Streaming

Invoices to DatabricksReplication lag 10s

Streaming

Inventory to BigQueryReplication lag 5s

Streaming

Payments to SnowflakeReplication lag 6s

Streaming

Catalog to DatabricksReplication lag 12s

Streaming

Shipments to SnowflakeReplication lag 8s

The destination matches
production in real time.

Every insert, update and delete lands within a minute of commit, one row per record. History mode keeps every change when you want it.

Production doesn't
slow down.

Artie reads the transaction log, not your tables. Backfills don't block writes.

Enterprise reliability
from your first deploy.

A first pipeline is the easy part. Schema evolution, fan-in, exactly-once delivery at scale and failure recovery take most teams one to two years to build. Artie ships with all of it.

Built for the data stack
you already run.

Stream from Postgres, MySQL, MongoDB and more into Snowflake, BigQuery, Databricks and the rest of your stack.

See all connectors

Get your data streaming in 3 steps

1
Connect your source
Point Artie at Postgres, MySQL, MongoDB, DynamoDB or another database you already run.
2
Choose tables to replicate
Pick the tables and columns you need, mask sensitive fields before they leave production, and keep every change with SCD Type 2 history.
3
Deploy and stream
Changes land within a minute with exactly-once delivery, and schema changes carry over on their own.

What teams build with Artie

Fraud detection on live data

Postgres streams into Redshift and Snowflake in real time, feeding Alloy's fraud-detection models and a compliance product its customers pay for.

Switched from AWS DMS and Fivetran

An AI-ready data platform

Micro-sharded Postgres lands in Snowflake as one current set of tables, ready for ClickUp's AI features.

Switched from AWS DMS

Reporting across every product

Databases from every acquired product flow into one Iceberg lakehouse on S3 Tables, kept fresh for reporting.

Switched from AWS DMS

Experiments and models on fresh data

Analytics, experiments, recommendation models and trust and safety all read a Snowflake that's minutes behind production, not hours.

Switched from an in-house batch pipeline

Built for production

Run Artie where your data lives, hear about problems before your dashboards do, and manage it like the rest of your stack.

Runs where your data lives
- Deployment Artie Cloud, or BYOC in your own cloud on Enterprise.
- Security SOC 2 Type II and HIPAA.
You hear about it first
- Observability Per-table metrics in Datadog or Grafana.
- AlertsWebhooks for failures and schema changes.
Fits how you already work
- API & Terraform Every pipeline as code.
- MCP Run Artie from Claude or Cursor.

From fast syncs to advanced architectures.

See use cases

Set up Postgres to Snowflake streaming in 5 minutes
Real-time data for AI and ML
Secure PII with column-level inclusion, exclusion, encryption, and hashing
Fan in from single-tenant databases into a unified destination schema
Deploy Artie within your own cloud account or on-premise

We never store your data.

Artie is built so we never store your data. We read from your replication log and stream to your destination. Credentials are encrypted at rest, and data is encrypted end to end.

Learn more