# Managing Live Models

> Live Models in Sisense provide a way to connect directly to source data in real time, without requiring an in‑memory ElastiCube. They are particularly useful when dealing with large datasets, dynamic data, or scenarios where immediate access to up-to-date information is critical. Properly managing Live Models, as the following topics describe, ensures that dashboards and widgets reflect current data while maintaining performance, security, and flexibility.

*Source: https://docs.sisense.com/main/SisenseLinux/managing-live-models.htm*

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Last updated: June 10, 2026

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Live Models in Sisense provide a way to connect directly to source data in real time, without requiring an in‑memory ElastiCube. They are particularly useful when dealing with large datasets, dynamic data, or scenarios where immediate access to up-to-date information is critical. Properly managing Live Models, as the following topics describe, ensures that dashboards and widgets reflect current data while maintaining performance, security, and flexibility:

- [Working with Live Models](https://docs.sisense.com/main/SisenseLinux/working-with-live-models.md) — an overview of how Live Models operate, their benefits, and considerations for performance and scalability.
- [Live Model Query Settings](https://docs.sisense.com/main/SisenseLinux/live-model-query-settings.md) — configuring how queries are sent to the source system, including caching, timeout, and optimization settings for consistent performance.
- [Importing Data with Custom Queries](https://docs.sisense.com/main/SisenseLinux/importing-data-with-custom-queries.md) — bringing in data from sources using customized SQL or query logic, giving you fine-grained control over what is queried and how.
- [Creating Custom Live Table Queries](https://docs.sisense.com/main/SisenseLinux/creating-custom-live-table-queries.md) — defining queries specific to Live Tables within a Live Model for more advanced or tailored analytics.
- [Creating Relationships Between Live Tables](https://docs.sisense.com/main/SisenseLinux/creating-relationships-between-live-tables.md) — defining how tables relate to one another to enable accurate joins, aggregations, and drill-down analysis.
- [Personalization Parameters for Live Data Sources](https://docs.sisense.com/main/SisenseLinux/personalization-parameters-for-live-data-sources.md) — configuring parameters that allow dashboards to display personalized data for different users without creating separate models.
- [Managing Live Dynamic Connections](https://docs.sisense.com/main/SisenseLinux/managing-live-dynamic-connections.md) — handling connections that change depending on context, environment, or user, including credential management and connection overrides.
- [Publishing Live Models](https://docs.sisense.com/main/SisenseLinux/publishing-live-models.md) — making Live Models available to dashboards and users while managing versioning, access, and dependencies.
- [Working with Live Widgets](https://docs.sisense.com/main/SisenseLinux/working-with-live-widgets.md) — creating and configuring widgets based on Live Models to ensure accurate, up-to-date visualizations in dashboards.

Together, these topics provide a comprehensive view of how to configure, manage, and use Live Models in Sisense. Mastering these capabilities ensures that your dashboards provide real-time insights while maintaining control over performance, personalization, and security.