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 execute queries, connect to sources, and read object storage. Run them hosted by Altertable or self-hosted in your 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 agent runs so follow-up analysis stays relevant to your business and data model.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.