BI and data analytics

Give teams live dashboards, trusted answers, and agent-ready metrics from the same governed lakehouse, so chat, charts, and SQL stay aligned.

How teams adopt self-serve BI

Start with trusted questions, turn useful analysis into shared dashboards, and keep product, revenue, and operations in the same context.

Diagram: chat clients asking questions against governed lakehouse data

Let people ask from trusted metrics

Self-serve analytics breaks when chat answers come from stale snapshots or pasted context. Altertable keeps conversational answers tied to the same live metrics analysts and dashboards already trust.

Start from governed context
Questions inherit the same roles, permissions, and environment context as the rest of the lakehouse instead of bypassing access controls.
Answer from rows, not guesses
Assistants can inspect schemas, preview results, and cite live metrics so stakeholders see where an answer came from.
Keep judgment with the team
Sensitive actions, recurring checks, and business decisions stay reviewable while assistants handle the investigative work around them.

What data and analytics teams get

Governed self-serve analytics, live dashboards, agent follow-ups, and predictable pricing without another layer of metric drift.

Self-serve without metric drift

Stakeholders can ask, explore, and share answers without creating a shadow BI stack or redefining the metrics analysts already maintain.

Dashboards on live rows

Dashboards stay close to the underlying data, so teams can move from a chart to the rows behind it without waiting on stale extracts.

Agents that watch the dashboard

Pair dashboards with agents that monitor saved insights, summarize meaningful changes, and route findings before someone has to ask.

Predictable pricing

Flat monthly pricing with unmetered queries lets analyst exploration, dashboards, and agent follow-ups share the same fixed bill. See pricing.

Core BI capabilities

Trusted chat answers, live dashboards, shared metrics, and fast follow-ups on one governed lakehouse.

Answers where teams work

Let stakeholders ask questions from Claude Cowork or familiar tools while the answers stay grounded in governed metrics, permissions, and live data.

Dashboards stay fresh

Keep dashboards connected to live data so teams see the latest state of the business without waiting on extract refreshes or stale report snapshots.

One definition of every metric

SQL, dashboards, and conversational analysis resolve through the same joins, metrics, and access controls instead of drifting into competing definitions.

Interactive at team scale

Exploration should invite the next question. Keep dashboard drill-downs, analyst cuts, and agent follow-ups responsive as usage grows.

Your language, your stack

SDKs and adapters in the languages your team already uses,
so you ship without changing how you work.

SQL Interface

-- Altertable speaks the Postgres wire protocol natively.
-- No SDK needed — any Postgres client works out of the box.

-- psql
psql "postgresql://your_lakehouse_username:[email protected]:443/my_db"

Explore more use cases

Other workloads that share the same engine and governance.

Product Analytics

Capture product data through Altertable's APIs, then analyze funnels, segmentation, and behavior in the same system as revenue, operations, and warehouse data.

Analytical Database

Store data in Altertable or connect the systems you already have, then query everything through one fast SQL engine across product, business, and operational data.

Agentic Workflows

Give Claude, GPT, and any MCP client secure, governed access to query data, use tools, and work from the same live context as your team.

Give every team the same trusted answer

DuckDB workers on open formats, federated SQL across your existing systems,
and an MCP server for agents — at flat monthly pricing.

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