Altertable
altertable.ai
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Overview
A lakehouse built for 1000x more questions, simplifying fragmented data stacks with one foundation for warehouse-grade performance, storage economics, live federation, and agent-ready context.
News
Wildcard -
We're hiring our first few teammates - and we don't want to miss you just because your background doesn't match a job post.
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The Context Lakehouse
Why the lakehouse is becoming the governed context foundation for humans, applications, and agents-not just an analytical destination.
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MATCH_RECOGNIZE That Scales
Why funnels belong in MATCH_RECOGNIZE, how active-run automata get expensive, and how our DuckDB extension stays fast against Trino.
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Hand the Agent a Map
Search finds a match, not its context. Altertable's ontology and live entity graph let agents navigate to the evidence, one hop at a time.
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The DuckDB Bet
DuckDB is showing up in warehouses, product-serving paths, and database servers. The shift is flexible execution without a central data copy.
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Data Warehouses & Lakehouses in 2026
A practical 2026 comparison of warehouses and lakehouses, from Snowflake and BigQuery to Databricks, DuckDB, and Altertable.
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Lakehouse as Context Store
Why the lakehouse becomes the working context store for agents: live data, telemetry, definitions, and company knowledge in one governed foundation.
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Stack Drift
Why mature data stacks keep accumulating copy layers, and how direct relational federation gives dbt a simpler path over live operational sources.
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Know What a Query Reads Before It Runs
Row estimates only hint at what an agent will read. Bytes pin it down. Our explain returns them from catalog metadata, before the engine touches a file.
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One Component, Every Agent
Agents shouldn't get static screenshots. We ship the same interactive UIs to our product and to any MCP host through MCP Apps.
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