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    Data Retention

    Last updated: March 4, 2026

    DB24 Data Retention

    Introduction

    DB24 includes default data retention policies designed to balance operational insight with efficient storage usage. These defaults can be customized to meet the specific needs of each environment.

    Data cleanup is performed in daily iterations to prevent excessive data growth. In environments with large volumes of historical data, it may take several days to reach the configured retention targets due to controlled batch-cleaning limits per iteration.

    Retention settings are managed in two places:

    • Datastore retention is configured via the DB24 Portal under Organization settings.
    • Runtime retention is configured per instance under the Configuration section on the detailed instance page.

    Datastore Data Retention

    Datastore retention is handled by the nightly DB24MACGoodNight job, which removes outdated data according to the configured retention policies.

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    DB24 provides a set of predefined retention rules that can be tailored to organizational requirements.

    Configuration

    To manage Datastore retention:

    1. Open the DB24 Portal
    2. Navigate to Organization Settings
    3. Select Data Retention
    4. Adjust retention policies as needed

    These settings control how long historical data is retained in the Datastore before being automatically cleaned up.

    Runtime Data Retention

    Runtime data retention is managed by the DB24GoodMorning job, which runs each morning to clean up local Runtime data.

    Because the Datastore collects Runtime data every two hours, long-term retention on the Runtime itself is typically unnecessary. For this reason, DB24 applies a more aggressive predefined retention policy at the Runtime level.

    This approach ensures:

    • Optimized storage usage on Runtime systems
    • No unnecessary duplication of historical data
    • Continued availability of relevant operational data in the Datastore

    Summary

    DB24’s structured approach to data retention enables efficient system management by:

    • Automatically cleaning up outdated data
    • Optimizing storage usage across Datastore and Runtime components
    • Supporting compliance and organizational data retention requirements

    By separating Datastore and Runtime retention strategies, DB24 maintains long-term insight where it matters while keeping operational systems lean and performant.