About
Artie builds a fully managed change-data-capture streaming platform that replicates production databases into data warehouses and lakes in real time. It sells to engineering teams supporting fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI/ML workloads, differentiating through high-volume, sub-minute replication with zero maintenance.
Market
Artie competes in the real-time data replication, change-data-capture, and data integration market, moving operational database changes into warehouses, lakehouses, object storage, and downstream applications. It differentiates by offering a vertically integrated, fully managed alternative to batch ELT and DIY Kafka/CDC stacks, combining sub-minute latency, exactly-once delivery, automatic schema evolution, parallel backfills, and minimal infrastructure management.
Artie is aimed at data and engineering teams at production-scale companies—especially organizations with high-volume OLTP databases feeding warehouses, lakehouses, analytics, AI/ML, or downstream applications—that need low-latency, reliable replication without operating Kafka or Debezium infrastructure.
At a Glance
Problem
Modern companies often cannot use production data where it matters because traditional batch ETL leaves warehouses and downstream applications stale, while also creating data-consistency and scalability problems. The economic pain is both operational and strategic: teams must tolerate delayed analytics and models, or spend months hiring and building a replication system that carries a permanent maintenance burden. Existing tools can also become expensive or fragile as data volume, schema changes, and latency requirements increase.
The clearest high-value use case is fraud detection and other operational machine-learning workflows. Alloy, for example, had designed its fraud models around roughly 30 minutes of replication latency; fresher production data enables more timely risk decisions, compliance evaluations, personalization, dashboards, and customer-facing analytics.
Product / Service
Artie is a fully managed real-time data replication and streaming platform built around change data capture. It streams database changes continuously into warehouses and other downstream systems with sub-minute latency and exactly-once delivery, rather than requiring customers to build and operate Kafka, connectors, file-staging workflows, or custom merge logic. It supports SaaS deployment as well as deployment in a customer’s own cloud account or on-premises, with controls for PII inclusion, exclusion, encryption, and hashing.
The benefit is a production-grade pipeline that is faster and less operationally demanding than assembling a self-managed CDC stack. Artie handles the end-to-end path from capture through delivery, schema evolution, recovery, and observability, allowing data and engineering teams to spend less time maintaining infrastructure and more time shipping real-time applications, analytics, and AI features.
Market
Artie competes in the managed change-data-capture, real-time data replication, and streaming data infrastructure markets. Its named alternatives include Fivetran for managed data movement, AWS Database Migration Service for replication and migration, and Debezium combined with Kafka or Flink for self-managed CDC. Artie positions itself against Fivetran on continuous database CDC, against DMS on durable production replication rather than one-time migrations, and against Debezium on providing the complete managed pipeline instead of only change capture.
Artie is clearly revenue-generating rather than pre-revenue. The company announced a $3.3 million seed round in 2024 after reaching more than 10 enterprise customers and reporting mid-double-digit month-over-month revenue growth; in January 2026 it announced a $12 million Series A. Its 2026 materials identify ClickUp, Substack, and Alloy as customers processing more than 700 billion rows annually, while Alloy’s deployment alone replicates more than 20 billion rows per month.
Founders & Leadership
Funding History
Y Combinator
Exponent Founders Capital
Standard Capital (led by Dalton Caldwell)
Recent News
Artie explains how to synchronize data between Postgres and Snowflake in real time, including the use of logical replication and replication slots.
Artie launched a self-serve experience allowing users to connect a source, choose a destination, and begin replicating data without contacting the company. The platform streams inserts, updates, and deletes through CDC in under 60 seconds and handles schema evolution, exactly-once delivery, fan-in, and failure recovery.
ClickHouse included Artie in the inaugural House Mates ecosystem cohort, highlighting Artie's sub-minute CDC replication from Postgres, MySQL, SQL Server, Oracle, and MongoDB.
Artie described real-time data pipelines that use change data capture to stream database changes to destinations within seconds, positioning fresh operational data as infrastructure for AI systems.
Artie published guidance on MySQL replication covering security, performance, schema changes, replication-lag reduction, and GTID-based failover.
Artie announced a $12 million Series A led by Dalton Caldwell at Standard Capital, with participation from Y Combinator, Pathlight Ventures, and several technology-company founders and operators. The funding will support product expansion into event APIs, search systems, vector databases, and other platforms, as well as go-to-market and team growth.
MotherDuck announced that Artie was joining the Modern Duck Stack through an integration that provides fully managed CDC streaming from source databases into MotherDuck in real time. The integration supports low-latency analytics without requiring customers to manage streaming infrastructure.
Active Roles
6Business Model
Artie monetizes through a usage-based Growth plan starting at $500 per month and custom-priced Enterprise plans. Its free trial and free backfills support customer acquisition, while recurring subscriptions generate revenue.