Real-time event analytics

From raw events to answered questions in under a second.

Nimbus streams product, pipeline and infrastructure events into one warehouse-native layer — sub-second p95 queries, zero sampling, SQL on day one.

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SOC 2 Type II · GDPR-ready · 99.99% ingest uptime

Events · last 12 hlive
Events / sec48,210+12.4%
Funnels / day1,284+3.1%
Error rate0.42%+0.08 pp

Hourly event volume rose from 41,000 to 63,000 events per hour.

p95 query 240 ms · 12 h window · UTC

Platform

Analytics your engineers won't fight

One event pipeline feeding dashboards, funnels and your own SQL — with no data leaving your stack.

Real-time dashboards

Sub-second queries at scale

Stream events via the collector API and read them back in under 300 ms p95 — full fidelity, no pre-aggregation, no stale tiles.

Funnels & segmentation

Funnels that match your schema

Compose multi-step funnels on any property with windowed conversion, cohort breakdowns and segment diffs — no rigid naming conventions.

Warehouse-native SQL

Your warehouse, your SQL

Models sync to Snowflake, BigQuery and Postgres as dbt-compatible tables, so analysts query the same rows in raw SQL.

How it works

From snippet to insight in three steps

01

Instrument

Drop in the 11 kB SDK or a server library. Autocapture covers pageviews, clicks and identity in one snippet.

02

Stream & validate

Events hit the edge collector, get validated against your tracking plan and deduplicated before a single row is written.

03

Query

Dashboards, funnels and SQL run against columnar storage with p95 latency under 300 ms at billions of rows.

Customers

Trusted by data teams who count events

"We replaced three bespoke dashboards and a nightly Airflow rollup. Funnel answers that took an engineer a day now take a PM two clicks."
Maya Chen
Head of Data Infra, Larkfield
"The ingest pipeline shrugged off Black Friday: 2.1 billion events in 24 hours with zero backpressure and no dropped payloads."
Daniel Osei
Staff Platform Engineer, Northwind Logistics
"Warehouse-native sealed it. Our dbt models became queryable product analytics without moving a byte."
Priya Raghavan
Analytics Lead, Corvid Systems

Pricing

Metered by events, not by seat

The first 1M events every month are free — on every tier, forever.

Starter

$0 /mo

  • Up to 1M events / mo
  • 2 seats · 30-day retention
  • Core dashboards
  • Community support
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Enterprise

Custom

  • Unlimited events & seats
  • Dedicated ingest cluster
  • SOC 2, DPA · 99.99% SLA
  • Audit logs & VPC peering
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FAQ

Technical questions, direct answers

How does Nimbus ingest events without sampling?

The edge collector buffers micro-batches, validates each payload against your tracking plan and writes full-fidelity rows to columnar storage. Dashboards always query 100% of events.

Which warehouses does Nimbus sync to?

Snowflake, BigQuery, Redshift and Postgres. Models are materialized as dbt-compatible tables and refreshed on the schedule you define, from every 15 minutes to nightly.

What does the SDK do to page performance?

The browser snippet is 11 kB gzipped, sends asynchronously via sendBeacon and never blocks the main thread. Our p75 impact on LCP across monitored sites is under 20 ms.

Is data retention configurable?

Yes — from 30 days on Starter to custom hot/cold tiers on Enterprise, with automatic Parquet export to your own bucket when data ages out of the hot layer.

How is billing metered?

By ingested events, computed monthly. Events that fail tracking-plan validation are never billed, and the first 1M events each month are free on every tier.

Ship analytics your engineers trust

1M free events a month. No credit card, no sales call — your first dashboard is ten minutes away.