🆚 Azure Synapse Link for Dataverse vs Dataverse Long-Term Retention (LTR)

 


FeatureAzure Synapse Link for DataverseDataverse Long-Term Retention (LTR)
🎯 PurposeFor near real-time analytics and reporting.For archiving inactive data to reduce storage costs.
🗄️ Where Data GoesCopies Dataverse data into Azure Synapse Analytics or Azure Data Lake for analysis.Moves inactive Dataverse records to a cold storage tier inside Dataverse itself.
📊 Use CasePower BI reports, advanced analytics, AI/ML scenarios.Keep historical records (e.g., old cases, orders) accessible but off active storage.
🏃‍♂️ Performance ImpactMinimal; works with change tracking for incremental updates.Improves performance of Dataverse by cleaning up active tables.
💰 Cost ConsiderationAzure costs for storage/compute (Synapse/Data Lake).Lower Dataverse storage costs (cold tier = cheaper).
⚡ Access to Archived DataDirect access via Synapse or Data Lake (external).Archived data is read-only and not directly editable.
🔄 Data Update FrequencyNear real-time (supports incremental data refresh).Periodic (retention policies run on schedule, e.g., daily).
👨‍💻 Developer/Business UseEnables advanced analytics, AI models, dashboards.For admin-level data management and storage optimization.
🛠️ Configuration EffortModerate (Synapse Link setup + Power BI/Azure config).Low (retention policies defined in Power Platform Admin).
🔑 LicensingRequires Azure subscription (Synapse, Data Lake, Power BI).Included with Dataverse – no extra license.

What Azure Synapse Link for Dataverse does

  • Connects Dataverse tables to Azure Synapse or Data Lake Gen2.

  • Streams data almost in real-time.

  • Use cases:

    • Build Power BI dashboards over large datasets.

    • Run AI/ML models with Azure Machine Learning.

    • Analyze historical and transactional data (e.g., millions of orders).

  • ⚡ Keeps operational systems (like Dynamics CE) lightweight since heavy queries run in Synapse.

🗃️ What Dataverse Long-Term Retention does

  • Moves inactive records (e.g., closed cases older than 3 years) into cold storage.

  • Frees up Dataverse primary storage capacity and reduces licensing/storage costs.

  • Archived records:

    • Are read-only.

    • Can’t be edited but can still be viewed (via API or model-driven apps).

    • Must be restored (moved back) to active storage for editing.

🚦 When to Use Which?

ScenarioUse Azure Synapse Link?Use LTR?
Build reports over millions of transactions✅❌
Archive closed opportunities older than 5 years❌✅
Run machine learning on customer sentiment data✅❌
Free up Dataverse primary storage from old records❌✅
Compliance storage for inactive case data❌✅

 Key Takeaways

  • Synapse Link = Export for analytics.

  • LTR = Archive for storage optimization.

  • They can work together:

    • Use LTR to clean up Dataverse active tables.

    • Use Synapse Link to run analytics on both active and archived data (if exported to Data Lake).

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