Snowplow goes real-time on AWS
Snowplow announced real-time data capabilities running on AWS — meaning event pipelines can deliver streaming user and product telemetry into your data platform with lower latency for analytics and ML social post. — That’s a direct lever if you’re building live personalization, observability, or feedback loops into travel or dining apps hosted on AWS social post.
Snowplow first announced Signals on May 28, 2025 (finance.yahoo.com) and moved the product to general availability on September 30, 2025 (snowplow.io). The Signals Profiles API targets sub‑10ms p95 response times for in‑session lookups (snowplow.io), and Snowplow says the feature set is built on its existing real‑time data pipeline and streaming engine (snowplow.io). Snowplow advertises multi‑cloud deployment with AWS and GCP support under the same developer experience (snowplow.io), and AWS has published a joint "Next‑Gen Digital Analytics" solution blueprint that pairs Snowplow with Snowflake on AWS (aws.amazon.com). The GA release adds a Profiles Store, a no‑code Signals Console for product teams, and live troubleshooting via Snowplow Inspector (snowplow.io), with native Snowflake and BigQuery compatibility and “Databricks coming soon” listed in the release notes (snowplow.io).
