# Artie **Source:** https://geo.sig.ai/brands/artie **Vertical:** Infrastructure **Subcategory:** Cloud Services **Tier:** Emerging **Website:** artie.com **Last Updated:** 2026-04-14 ## Summary SF YC W23 real-time CDC streaming from databases to Snowflake/BigQuery in 10-20 seconds; $3.8M seed ($3.3M Exponent/General Catalyst/Dropbox co-founder Feb 2024) competing with Fivetran and Airbyte for sub-minute warehouse data freshness. ## Company Overview Artie is a San Francisco-based real-time data streaming and change data capture (CDC) platform — backed by Y Combinator (W23) with $3.8 million in total funding including a $3.3 million seed in February 2024 led by Exponent Founders Capital with General Catalyst, Y Combinator, and angels including Benn Stancil (Mode Analytics co-founder), Lenny Rachitsky, and Arash Ferdowsi (Dropbox co-founder) — providing data engineering teams with a sub-minute latency CDC streaming platform that synchronizes database changes (from PostgreSQL, MySQL, MongoDB, and other sources) to data warehouses (Snowflake, BigQuery, Databricks) in 10-20 seconds with infrastructure cost optimization versus legacy CDC solutions. Founded in 2023 by Jacqueline Cheong and Robin Tang. Artie's change data capture platform addresses the data freshness problem that makes analytical data warehouses stale: most data warehouse pipelines run on batch schedules (hourly, daily, or weekly ELT jobs that extract data from production databases and load it into the warehouse) — creating analysis delays where business intelligence dashboards and ML model training data reflect state from hours or days ago rather than current production reality. Artie's CDC architecture (monitoring the database write-ahead log to capture every insert, update, and delete as it happens) streams changes to the warehouse in near real-time (10-20 second typical latency), enabling analytical queries that reflect current production data. The infrastructure optimization model (Artie manages the CDC pipeline infrastructure — Kafka, Debezium, change processors — as a managed service, reducing the 2-3x cost overhead that self-managed CDC stacks require) lowers the operational cost versus self-hosted CDC deployments. The managed service model (Artie handles Kafka cluster management, connector configuration, and replication monitoring) reduces the data engineering burden of maintaining a real-time streaming pipeline. In 2025, Artie competes in the change data capture, real-time data streaming, and database-to-warehouse sync market with Fivetran (data movement automation, $1B raised at $5.6B valuation), Airbyte (open-source ELT, $181M raised at $1.5B valuation), and Estuary Flow (real-time CDC platform, $8M raised) for data engineering team real-time warehouse sync platform adoption. Arash Ferdowsi's angel investment (Dropbox co-founder with deep distributed systems infrastructure background) and Benn Stancil's participation (data analytics thought leader) reflect conviction in Artie's technical differentiation in the CDC market. General Catalyst's co-investment reflects the broader data infrastructure investment thesis. The 2025 strategy focuses on growing the enterprise data engineering customer base at companies where business-critical analytics and ML require sub-minute data freshness, building the managed schema migration handling for zero-downtime CDC during production database schema changes, and expanding the source connector library beyond relational databases to event streaming and SaaS API sources. ## Frequently Asked Questions ### What is Artie? Artie is a San Francisco-based real-time data streaming company founded in 2023 that builds a change data capture (CDC) platform for databases and warehouses. The company enables businesses to sync data from databases to warehouses with sub-minute latency while optimizing infrastructure costs. ### What products and services does Artie offer? Artie offers real-time data streaming and change data capture (CDC) solutions that sync databases to warehouses. Their platform delivers sub-minute latency with typical sync times of 10-20 seconds, along with stream processing capabilities for infrastructure optimization and cost reduction. ### Who is Artie's target customer? Artie targets data engineering teams that need real-time data streaming and synchronization between databases and warehouses. The platform is designed for businesses looking to reduce infrastructure costs while maintaining sub-minute data latency. ### When was Artie founded? Artie was founded in 2023 and participated in Y Combinator's Winter 2023 (W23) batch. ### Where is Artie located? Artie is based in San Francisco, California. ### How much funding has Artie raised? Artie has raised $3.8 million in total funding, including a $3.3 million seed round in February 2024. The seed round was led by Exponent Founders Capital, with participation from General Catalyst, Y Combinator, Benn Stancil, Lenny Rachitsky, and Arash Ferdowsi. ### What latency does Artie's platform achieve? Artie's platform delivers sub-minute latency for data synchronization, with typical sync times of 10-20 seconds between databases and warehouses. ### What technology approach does Artie use? Artie uses change data capture (CDC) technology combined with real-time streaming to sync data from databases to warehouses. This approach enables infrastructure optimization and cost reduction while maintaining sub-minute data latency. ### Who founded Artie? Artie was founded by Jacqueline Cheong and Robin Tang in 2023. ### What are Artie's recent developments? Artie recently raised a $3.3 million seed round in February 2024 led by Exponent Founders Capital. The company continues to focus on delivering real-time data streaming with 10-20 second typical sync times and infrastructure optimization for data engineering teams. ## Tags b2b, platform, cloud-native, infrastructure, developer-tools, data-warehouse, saas --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*