Natural Language Query Builder
Type a question in plain English. Ingestia composes the query, picks the right chart, and renders it instantly.
ask ›weekly active users by plan, last 30 days
The Analytical Monolith
Engineered for vertical scalability and absolute data integrity.
Event Validation
Strict schema enforcement before ingestion. Malformed payloads are rejected at the edge — your data warehouse stays clean. JSON Schema support included.
ingestia.track("purchase", { amount: 99, currency: "USD" })
User Identity
Advanced alias merging for anonymous-to-identified tracking across devices and sessions.
COMING SOON
Self-Hosted
Run on your own infrastructure with Docker or Kubernetes. Zero data leaves your network.
BLAZING FAST
Blazing Fast Queries
Unmatched query performance for billions of events. Real-time aggregation at any scale without compromising on latency.
INTELLIGENCE LAYER
Intelligence Built In.
Natural language to insights — no SQL, no manual setup. Ingestia's AI understands your event schema and writes the queries for you.
AI Funnel Creator
Describe a funnel; it builds the steps and computes drop-off automatically.
1page_view100%
2sign_up42.6%
3checkout12.4%
Dashboard Widget Generation
"Show me weekly signups by country" → instant widget, ready to pin.
SIGNUPS · 7D2,847
CONV · 7D12.6%
Insight Summary & Trend Analysis
Auto-generated narratives explain what's moving — and why — the moment you open a dashboard.
Activation rate climbed +18.3% this week, driven by users from Germany and India.
Checkout drop-off in mobile Safari spiked +24% after the v3.1 release. Likely correlated.
Power users (top 5%) account for 68% of total events — consider a dedicated retention cohort.
Natural Language Segment Builder
Define cohorts conversationally — Ingestia translates intent into precise filters.
users who signed up last week and didn't convert but opened the app at least 3 times
Matched 1,284 usersQUERY · 0.42s
Smart Parameter Suggestions
AI suggests properties from your schema as you type events.
ingestia.track("checkout", { item_
item_idAI · 98%
item_nameAI · 91%
item_price
item_category
Anomaly Detection & Real-Time Alerts
Statistical models monitor every event stream. When something drifts — traffic spike, conversion dip, error surge — you hear about it before your users do.
checkout.completed · −34%2m ago
error.payment_failed · 5x baseline14m ago
session.duration · +22%1h ago
EVENTS / MIN · LIVE12.4k
WHAT'S NEXT
The platform keeps shipping.
Session replay, feature flags, and cohort analytics — the next layer of your analytics stack.
Session Replay
Pixel-perfect replays correlated with your event stream. Find the bug, the dead click, the rage scroll — without asking the user.
Feature Flags
Ship gradually, roll back instantly. Control rollouts without a deploy.
checkout_v2_layoutLIVE
ROLLOUT78%
control
22%
compact
39%
sidebar
39%
Cohort Analytics
Group users by behavior or property and watch how each group changes over time. Spot the moments people stick — and the moments they slip away.
COHORTD0D1D3D7D14D30
Week of May 04
n = 2,418
100%
62%
48%
39%
31%
26%
Week of May 11
n = 2,189
100%
64%
51%
42%
34%
28%
Week of May 18
n = 2,541
100%
68%
55%
46%
38%
31%
Week of May 25
n = 3,012
100%
71%
58%
49%
41%
—
Week of Jun 01
n = 2,876
100%
69%
56%
47%
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