Glossier Runs Real-Time Supply Chain and Marketing Analytics with Estuary.
Read Success StoryAI doesn’t just raise the bar for what data teams need to deliver, it raises the bar for when they need to deliver it.
Today, we’re announcing a strategic partnership between Estuary and Snowflake, the AI Data Cloud company, to help data teams solve a growing, painfully familiar challenge: getting the right data into Snowflake exactly when the business needs it, not just when pipelines allow it.
Together, Estuary and Snowflake introduce a right-time ingestion approach for moving batch, CDC, and streaming data into Snowflake, without forcing teams into the usual tradeoffs between simplicity and real-time responsiveness. More than 90 shared customers, including Glossier, Xometry, Shippit, and David Energy, already rely on Estuary + Snowflake to simplify ingestion and power analytics, AI/ML, and operational workflows with fresher, more reliable data.
The problem: AI is exposing the limits of “batch vs. real-time”
As organizations accelerate AI initiatives, many are still stuck with ingestion architectures built for a pre-AI era:
- Brittle real-time systems that are hard to operate and scale
- Slow batch cycles that introduce delays into decision-making
- Duplicated ETL jobs across tools and teams
- Mounting operational overhead as pipelines sprawl
These fragmented approaches force teams to choose between speed, reliability, and complexity, tradeoffs that show up fast when you’re building AI-powered workflows, feature engineering pipelines, predictive models, or operational analytics that depend on timely, trustworthy data.
Introducing right-time ingestion for Snowflake
With this partnership, Snowflake customers gain a unified platform for batch + CDC + streaming ingestion with precise, per-pipeline latency control.
That means you can align delivery to actual business needs, for example:
- Sub-second updates for AI feature stores or event-driven applications
- Near real-time refreshes for dashboards and operational monitoring
- Scheduled delivery for finance, compliance, or reporting workflows
Instead of building separate “fast” and “simple” systems—and maintaining both—Estuary enables right-time ingestion without additional infrastructure, orchestration, or code rewrites.
“AI has made the timeliness and reliability of data a business priority not a technical preference,” said Dave Yaffe, Co-Founder and CEO of Estuary. “Partnering with Snowflake allows us to help customers deliver data at the cadence their AI and analytics workflows demand, while eliminating the complexity of multi-tool ingestion stacks.”
What “right-time” looks like in practice
Traditional ingestion models tend to lock you into a single mode:
- Batch (easy to run, often too slow), or
- Real-time (fast, often complex and fragile)
Right-time flips the model: you pick the freshness target per pipeline, and Estuary handles the mechanics. Hence, data arrives in Snowflake at a cadence that matches what downstream users and systems actually require.
One team might need continuous ingestion for product events. Another might need 15-minute delivery for operational dashboards. Another might need daily scheduled loads for close or compliance. Right-time lets those needs coexist cleanly, without multiplying tools or workflows.
Cleaner data, lower cost, more reliable workflows
In addition to timeliness, getting data into Snowflake correctly is just as critical, especially for AI and ML workflows where quality issues quietly degrade model performance.
Estuary’s delta-based, exactly-once ingestion helps produce cleaner, deduplicated, well-structured tables inside Snowflake, which can improve downstream reliability while also reducing unnecessary compute and reprocessing.
The result:
- Cleaner tables that are easier to trust
- Lower operational overhead (fewer moving parts)
- More predictable scaling as volume grows
- A stronger foundation for analytics, AI/ML, and operational automation
Built for modern enterprise requirements
Enterprise teams don’t all operate the same way, especially when it comes to security, governance, and residency requirements. Estuary supports multiple deployment models so you can match your Snowflake environment and operating constraints:
- SaaS
- Private Cloud
- Bring Your Own Cloud (BYOC)
A modern ingestion foundation for the era of AI
AI-ready data delivery isn’t just about moving faster. It’s about delivering the right data, at the right time, reliably, without building a fragile ingestion maze behind the scenes.
With Estuary + Snowflake, teams can simplify ingestion architecture, align freshness to business needs, and accelerate the path from data to decisions, whether those decisions come from dashboards, automation, or AI systems.
Learn more
To learn more about the Estuary + Snowflake partnership, visit: https://go.estuary.dev/snowflake
Or reach our team at: marketing@estuary.dev
