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    Verity Insights 7.3

    Release date: 11 - 03 - 2026

    7.3 release introduces new platform capabilities focused on performance, scalability, and tenant isolation. It strengthens the DataHub architecture by ensuring fair resource allocation across customers, improving system stability under high workloads, and enabling controlled scaling for growing data volumes. These enhancements reinforce our commitment to delivering reliable and predictable service performance for all clients.

    Enedis Energy Community : support of R63 and CRM023

    The Enedis Energy Community plugin now supports R63 files and the corresponding CR.M023 file.

    See R63 and CR.M023

    Calculated variable Enhancement

    Calculated Variables have been enhanced to resolve performance bottlenecks and timeframe misalignment issues.

    Previously, all historical data relative to a trigger date was loaded, even when only a limited window was required. This resulted in excessive memory usage, slower calculations, and unreliable gap-filling due to fixed time window definitions.

    What’s New

    • Configurable Future Windows
      Inputs can now define future data windows (in addition to past windows), reducing unnecessary data loading and improving flexibility.

    • Input-Referenced Timeframes
      Inputs can dynamically derive their timeframe from another input’s effective window, enabling precise alignment and reliable gap-filling.

    Business Benefits

    • Faster calculations
    • Reduced memory usage
    • Accurate and aligned time-series processing
    • Improved support for large-scale use cases (forecasting, scheduling, profiles)

    See documentation

    Heads Up

    "Future & Past" mode now enforced on all variables : We have introduced a requirement for calculated variables to specify a future horizon. If your variable is used in the future, please set the future limit explicitly (e.g. default 3 years, or your account's standard ingestion limit).

    If you do not modify the variable, everything remains as-is and your calculations are unaffected, even if an indicator is shown. This will be improved in a future release for a smoother experience.

    Graph Enhancements

    • Add absolute time selection for future periods in dashboards following the ingestion window.

    • Alarm Templates implementation.

    • Improved readability of value-type charts.

    • Horizontal menu hover enhancement.

    Performance & Scaling

    • SQL Health Check improvements.
    • Faster SFTP consumption.
    • Cache optimization for calculated variables.
    • reading/ writing queries optimization.

    Major evolution of our SaaS Data Ingestion & Processing Engine

    We’re enabling a major upgrade to our core data ingestion and processing engine, bringing a significant boost in performance and scalability.

    This improvement is being rolled out progressively over the coming weeks.

    What’s improving

    • Massively faster processing

    • Faster data reading and writing Large volumes of data are processed more efficiently, with much lower latency.

    • Improved performance on large and complex datasets Long histories and high-frequency data are handled far more smoothly.

    • A stronger core for future capabilities This upgrade lays the foundation for new features and further performance gains.

    Business Benefits

    • Faster results and shorter waiting times

    • Better reliability for data-intensive use cases

    • No changes required to your configurations or workflows

    Rollout approach

    The new engine is being enabled gradually to ensure stability and optimal performance. All SaaS customers will benefit from this improvement as the rollout progresses in the coming weeks.

    Limit & quotas

    To ensure performance, fairness, and service continuity across all customers, the DataHub platform now introduces configurable customer-level rate limits and quotas.

    This enhancement guarantees that high data volumes from one customer cannot impact the performance experienced by others.

    Alarm template views

    Ability to filter and delete alarm templates through API enhancements:

    • GET /alarms/template: added optional viewId parameter to filter templates based on a specific view ID.
    • GET /alarms/views: added templateViews boolean (default: false) to retrieve only alarm template views. When false, only alarm instances are returned, when true, only alarm templates are returned.
    • DELETE /alarms/view/{id}: added templateViews boolean (default: false) to specify deletion of an alarm template view while preserving the current default behavior.

    Bug Fixes

    • Fixed chart loading issues and zoom configuration problems.
    • Resolved dropdown overlap and menu visibility issues.
    • Corrected histogram unit display.
    • Fixed tile copy and deletion crashes.
    • Resolved missing alert messages in dashboards.
    • Corrected translation issues (FR comparison alarms).
    • Fixed date picker and time period inconsistencies.
    • Fixed public dashboard refresh and shared dashboard issues.
    • Fixed incorrect unit display in count-based alarms.
    • Resolved comparison period label issues.
    • Fixed event date/time field issues.
    • Resolved site name search failures.
    • Fixed site event data picker crash.
    • Fixed Azure Key Vault breaking change.
    • Resolved intermittent download failures.
    • ...

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