Artie streams database changes to your warehouse with sub-minute CDC latency. Free plan available; Growth starts at $500/month. See features and pricing.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Artie is a managed real-time data replication platform from Artie Technologies Inc., a San Francisco company. It uses change data capture (CDC) to read a database's transaction log and stream every change to a warehouse or lake. The company says delivery happens with sub-minute latency and exactly-once guarantees, so teams do not have to build the pipeline themselves.
The pitch is aimed at teams that would otherwise assemble Kafka, Debezium, and custom consumer code, or accept the tradeoffs of AWS DMS. Artie argues that the first version of a replication pipeline is easy, while schema evolution, fan-in, exactly-once delivery at scale, and failure recovery take most teams one to two years to build. Artie sells that work as a service.
Setup follows three steps. First, connect a source such as Postgres, MySQL, MongoDB, or DynamoDB. Second, choose which tables and columns to replicate, along with masking rules and whether to use SCD Type 1 or Type 2. Third, deploy the pipeline. Artie runs the initial backfill and then streams ongoing changes to the destination.
Because Artie reads the replication log instead of running full-table scans, the company says load on the source is minimal. Historical backfills can run on a read replica to avoid production impact. Artie also states that it never stores customer data: it reads from the log and streams to the destination, with credentials encrypted at rest and data encrypted end to end.
The core replication features are automatic schema evolution, exactly-once delivery, and non-intrusive backfills. Column adds, drops, and type changes are applied without pipeline restarts or manual DDL. Users can keep a 1:1 mirror of a table (SCD Type 1) or history mode (SCD Type 2), which stores every version of every row as an audit trail.
Artie also covers security and scale needs. Column-level controls let teams include, exclude, encrypt, or hash fields in flight. Fan-in maps hundreds of single-tenant databases into one destination schema, and soft partitioning organizes time series tables by time range. A built-in dashboard shows health, throughput, latency, and errors, with Datadog and Grafana integrations available.
Artie is a managed real-time data replication platform that uses change data capture (CDC) to stream database changes to a warehouse or lake. It advertises sub-minute latency and exactly-once delivery without requiring teams to run Kafka or Debezium.
Free is $0 per month for up to 1M billable rows and 2 active pipelines. Growth starts at $500 per month billed annually ($6,000 per year), or $600 per month month-to-month, and is usage-based. Enterprise pricing is custom.
Yes, both. Every new signup gets a 14-day Growth trial with no credit card required, and it starts when the first pipeline is deployed. Afterward, accounts within Free limits move to the Free plan automatically.
Sources include PostgreSQL, MySQL, MongoDB, DynamoDB, MariaDB, CockroachDB, DocumentDB, PlanetScale, Supabase, S3, and Snowflake. Destinations include Snowflake, BigQuery, Databricks, Redshift, ClickHouse, MotherDuck, Redis, and others. Oracle and SQL Server sources require Enterprise.
According to Artie, ongoing replication load is minimal and usually lower than incremental batch queries or full-table scans, because it reads the transaction log. Historical backfills can run on a read replica to avoid load on production.
Artie says it is built so it never stores customer data. It reads from the replication log and streams to the destination, with credentials encrypted at rest and data encrypted end to end.
SOC 2 Type II is included on all plans. HIPAA compliance is available on Growth with a BAA required, and is included in contracting on Enterprise.
Artie suits data and engineering teams that need near real-time replication from operational databases into analytics or AI systems. It is aimed at teams that would rather not build and maintain their own CDC infrastructure.