The Operational Lakehouse for the AI era
A high-performance lakehouse built for product, business, and AI workloads with fast SQL, predictable cost, and always-on agents running on top of the same data layer.
Product overview
Altertable brings storage, query, and business context into one live runtime for analytics, applications, and AI agents.
Bring every data source into one live foundation
Create managed lakehouse catalogs, capture product and telemetry data, and connect warehouses, databases, and external systems so teams can work from the same governed 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 Iceberg and 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 and Iceberg tables 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.
AI-Native
Altertable brings governed data, business context, and tools into one system, with both built-in AI capabilities and MCP-native access for your own agents.
Unified Context
Unify data and business context in one place, so every query runs with the definitions and logic behind it.
Scheduled Agent
Schedule agents to check key metrics, investigate changes, and carry out recurring data work automatically, without waiting for someone to ask.
Tools All the Way Down
In Altertable, data, metrics, charts, queries, and actions can all be exposed as MCP tools, giving agents a structured, governed way to work across the full system.
Scoped Agent Access
Altertable brings OAuth and DCR to MCP so agents can discover, register, and connect with secure, scoped access instead of brittle shared credentials.
Model-Agnostic
Altertable is built to work across models and providers, so we can use the best LLM for each job without changing your data layer.
Security and Trust, Built In
Altertable is built for governed, enterprise-grade use, with strong isolation, secure access, and the operational rigor teams need to trust both the data layer and the agents working on top of it.
Encryption Everywhere
Altertable encrypts data in transit and at rest with TLS 1.3 and AES-256, so your data stays protected across storage, compute, backups, and network traffic.
Sovereign Data Control
Keep your data in the region you choose, with region-aware infrastructure designed so it stays there and remains under your control.
Isolated Storage by Design
Each customer gets dedicated storage and credentials, so data stays strictly isolated at the infrastructure level instead of being pooled in a shared environment.
TLS-Secured in Transit
All data moving through Altertable is protected with TLS, so traffic between your systems, users, and the platform stays encrypted in transit.
Identity Management as Code
Manage users, service accounts, and access controls as code with Terraform, so identity stays reproducible, auditable, and easy to automate across environments.
The Future of BI Is Self-Serve
Altertable turns BI into a faster, more self-serve system where teams can explore live data, follow their own questions, and get proactive insight without waiting on dashboard backlogs or analyst bandwidth.
Native Visualization, Built In
Create charts and dashboards directly in Altertable, with visual exploration tied to the same live data, shared definitions, and AI workflows as the rest of the platform.
Dashboarding Without the Sprawl
Build live dashboards directly in Altertable, so teams can monitor the business, drill into changes, and stay on the same shared data model without adding another BI layer.
Federate Across All Your Data
Query and join data across databases, warehouses, and lakehouse storage in one system, so teams can analyze the business without copying everything into yet another silo.
Self-Serve BI with AI
Altertable uses AI to make BI self-serve, so teams can explore data, follow up on insights, and get answers without relying on SQL fluency.
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.
One lakehouse, many workloads
Product analytics, BI, and agent workloads on one DuckDB-backed engine — same SQL, same permissions, same bill.
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.
Self-Serve BI
Build dashboards and visualizations on the same live engine used for SQL, then expose trusted metrics and insights to AI agents and collaboration tools through MCP.
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.
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.
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