Artie
Real-time CDC data replication to your warehouse — sub-minute latency, no Kafka required.
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How the 6.4 was reached
- Quality of output6/10
Independent 5.0 rating on G2 praises ease and reduced lag; performance benchmarks (68x faster than AWS DMS) are the vendor's own. Source: g2.com
- Ease of use7/10
Vendor says most teams reach first sync within an hour with no Kafka or Debezium; G2 users praise ease of use. Source: artie.com
- Pricing value7/10
Free tier with 1M rows and 2 pipelines; Growth is $500-600 a month; enterprise is custom. Source: artie.com
- API and integration quality6/10
Supports Postgres, MySQL, MongoDB and DynamoDB sources and Snowflake, BigQuery, Redshift and S3 destinations; no public API was described. Source: artie.com
- Solves the problem it claims to solve6/10
Real-time replication features are described in detail, but independent evidence is only a G2 rating. Source: g2.com
6.4/10 is the average of the five criterion scores above. The evidence comes from 3 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- Limited rows/month
- 1 source connector
- Community support
- Higher row volume
- Multiple connectors
- SCD type 1 & 2
- Schema evolution
- Unlimited volume
- Dedicated support
- SLAs
- Advanced masking
- Fan-in topologies
For the full list of what each plan includes, and current prices, see artie.com.
Key Features
- Change Data Capture (CDC) from PostgreSQL, MySQL, MongoDB, DynamoDB
- Sub-minute replication latency with exactly-once delivery semantics
- Automatic schema evolution — no manual migrations on column changes
- SCD Type 1 and Type 2 support for slowly changing dimensions
- Column-level masking and selective table replication
Pros & Cons
Pros
- Deploy to first sync in under an hour — no Kafka or Debezium to configure
- Exactly-once delivery eliminates duplicate rows that plague DIY pipelines
- Handles schema drift automatically, a notoriously painful edge case
- Sub-minute latency is genuinely useful for AI agents and real-time dashboards
Cons
- Niche use case — only valuable if you need true CDC, not batch ETL
- Usage-based pricing can escalate quickly at high row volumes
- Destination warehouse support may be narrower than Fivetran's broad connector library
- Limited community/ecosystem compared to open-source Debezium
Artie fills a real gap: managed CDC replication without the two-year Kafka build. It's genuinely faster to set up than self-hosted Debezium and more real-time than traditional ETL tools like Fivetran. Best fit for teams feeding AI pipelines or analytics that can't tolerate overnight batch staleness.
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