Capture product events as SQL tables in the same lakehouse as billing, support, and operational data. Analyze what matters without pricing tied to every event or user.
Track events and identities into a built-in product analytics catalog, then explore behavior with funnels, retention, segmentation, SQL, dashboards, and agents on the same governed data foundation.
Altertable pricing follows the storage, compute, and AI resources you use, not a tax on every event you capture or every user you understand.
Connect product events to accounts, subscriptions, support cases, operational records, and warehouse data through one federated SQL namespace.
Track events and identities from web, mobile, server, batch, or Segment through a consistent payload model and built-in product analytics catalog.
Build funnels, retention, and segmentation analyses, query the underlying tables directly, or give agents governed access to the same product data.
Track and identify into SQL tables, then join product behavior to accounts, plans, and the rest of the business.
Product analytics
Application SDKs
Web, mobile, server, and Segment payloads write to the events and identities tables.
identify user_72
organization_id=acct_acme · [email protected]
track "Insight Created"
user_id=user_72 · insight_type=bar · source=product_events
track "Agent Asked"
user_id=user_21 · prompt=... · surface=slack
Altertable lakehouse
SELECT e.timestamp, e.event, a.name, s.plan
FROM product_analytics.events AS e
JOIN product_analytics.identities AS i
ON e.user_id = i.user_id
JOIN postgres.accounts AS a
ON i.organization_id = a.id
JOIN postgres.subscriptions AS s
ON s.account_id = a.id
WHERE e.event = 'Insight Created'
AND s.plan IN ('growth', 'enterprise')More workloads on the same engine, governance, and pricing.
Query live data across systems with DuckDB-powered execution, open storage, and predictable economics. Build on one operational lakehouse instead of another warehouse-centered stack.
Give Claude, GPT, and other agents governed access to trusted data, metrics, and business context. Agents work from the same definitions and permissions as your team.
Give every team live dashboards, shared metrics, and agent-assisted exploration on the same governed data foundation.
DuckDB workers on open formats, federated SQL across your existing systems,
and an MCP server for agents — at flat monthly pricing.
