Operational lakehouse for live data
Query and join databases, warehouses, and object storage without copying everything first. Give SQL, BI, applications, and AI agents one governed, high-performance data layer.
DuckDB-based Lakehouse
Built on DuckDB, Altertable delivers warehouse-grade performance at storage economics. One runtime for engineers, analysts, applications, and always-on agents to work from the same live data layer.
Horizontally scalable
Scale horizontally on managed compute units, or run Altertable in your own cloud through BYOC when you need enterprise control, isolation, and compliance.
ACID reliability
Get the flexibility of a modern lakehouse with ACID guarantees for reliable writes, consistent reads, and data you can trust as teams and agents work on it continuously.
Open formats, no lock-in
Built on open formats like Parquet, Altertable delivers warehouse-grade performance on a foundation that stays portable, interoperable, and under your control.
Multi-tier caching
Altertable uses multi-tier caching across memory and local SSD to keep hot data close to compute and deliver consistently fast, interactive analytics at scale.
Your data, in place
Connect your own S3 buckets to Altertable and analyze them in place, alongside the rest of your data, without extra movement or lock-in.
Time travel built in
Query your data as it existed at any point in time, making it easy to audit changes, debug issues, and compare how the business looked before and after key events.
Live data, end to end
Altertable is an operational lakehouse: federate sources without copying, stream events into queryable tables, ground humans and agents in shared context, and schedule SQL, code, and AI tasks where the data already lives.
Zero-copy federated SQL
Federate across databases, warehouses, and object storage without another pipeline. Query and join live sources from one lakehouse runtime — no copying data into yet another system.
Real-time ingestion
Append events, logs, or metrics to any table in one call, queryable in seconds. Product analytics and OpenTelemetry ingestion are built in, so fresh data is available for SQL, BI, and agents immediately.
Unified AI context
Attach definitions, relationships, and institutional knowledge to the data layer so in-app and MCP-connected agents query from the same governed foundation analysts and applications already trust.
Native full-text search
Find the right slice of data before you know the exact table, column, or filter. Full-text and semantic search live inside SQL, so humans and agents can retrieve, inspect, and analyze without another search stack.
Builder-native runtime
Build on Altertable with HTTP APIs, SDKs, DuckDB access, and MCP tools. Humans, applications, and agents can query, validate, stream, and act on the same governed lakehouse.
Built-in orchestration
Schedule SQL, code, and AI tasks close to the data. Trigger recurring workflows, investigations, and maintenance jobs without standing up another DAG layer.
Performance That Keeps Up
Altertable is built for fast, interactive analytics, with sub-second queries that let teams and agents explore large datasets without waiting on warehouse-style latency.
Govern compute, precisely
Control how much compute users, apps, and agents can consume, so workloads stay predictable, isolated, and aligned with the importance of the job.
Hot when it matters
Altertable uses multi-tier caching to keep frequently accessed data close to compute, so hot queries return fast while cold queries still run efficiently on the same system.
Predictable pricing, no surprises
Altertable is designed with flat, predictable pricing so teams can scale usage, seats, and agent activity without the billing anxiety that comes with per-query or per-seat sprawl.
Explore the rest of the platform
More workloads on the same engine, governance, and pricing.
AI Context
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.
Self-serve BI
Give every team live dashboards, shared metrics, and agent-assisted exploration on the same governed data foundation.
Run analytics, apps, and agents on one lakehouse
DuckDB workers on open formats, federated SQL across your existing systems,
and an MCP server for agents — at flat monthly pricing.