Microsoft Fabric Updates Blog

Eventhouse Overview: Handling Real-Time Data with Microsoft Fabric

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Today, Fabric introduces the Eventhouse (preview), a dynamic workspace hosting multiple KQL databases as part of Fabric Real-Time Analytics Overview of Real-Time Analytics – Microsoft Fabric | Microsoft Learn

Handling Real-Time Data with Microsoft Fabric

Eventhouses assume a pivotal role in the Microsoft Fabric ecosystem by offering a robust solution for managing and analyzing substantial volumes of real-time data. Eventhouses efficiently handling real-time data streams, empower organizations to ingest, process, and analyze data nearly in real-time. The scalability of Eventhouses ensures optimal performance and resource utilization, making them particularly valuable in scenarios where timely insights are imperative. Ideal for scenarios involving event-based data such as telemetry and log data, time series and IoT data, security and compliance logs, or financial records.

Key Features of Eventhouses:

1. Workspace of Databases:

An Eventhouse is essentially a shared workspace for databases, facilitating efficient management across specific projects.
Simultaneous management of multiple databases optimizes performance and reduces costs.
Unified monitoring and management are available across all databases and on a per-database basis.

2. Tailored to Time-Based, Streaming Events:

Specifically designed for time-based, streaming events supporting various data formats.
Ingest data from diverse sources and pipelines like Eventstream, SDKs, Kafka, Logstash, and more.
Automatic indexing and partitioning based on ingestion time.

3. Minimum Consumption:

Optimizes cost by allowing the suspension of the service when not in use.
Minimum consumption ensures the service is always available at a selected minimum level, minimizing latency upon reactivation.
Applicable for time-sensitive systems intolerant to latency.

Next Steps: