Introduction to Altertable Concepts
Altertable is a shared data runtime for applications, analytics, and agents. These concepts explain how data, business context, exploration, memory, and AI-assisted workflows fit together in one governed system.
Understanding them will help you get more out of Altertable whether you are building dashboards, defining shared metrics, connecting data sources, or giving agents governed access to the same context your team uses.
Workers
Workers are the data-plane runtime that executes queries, connects to sources, and reads from object storage. They can be Hosted or Self-hosted in your own cloud.Agents
AI agents that synchronize sources, model datasets, query data, and generate follow-up analytics work.Tasks
Tasks run on a schedule and notify you when something is worth your attention.Notifications
Notifications surface agent findings and updates in Altertable, by email, or in Slack—scoped per environment.Memories
Memories store learned context from prior runs so agents can produce more relevant follow-up work.Insights
Understand Altertable insight types, when to use each, and how they help you track metrics and make decisions from your data.Dashboards
Dashboards organize insights in one view to monitor KPIs and automate follow-up analysis with AI agents.