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Consultant KB for Microsoft Dataverse, the data layer under Dynamics 365 and the Power Platform: data model, security model, business logic, APIs and integration, search and queries, analytics and Fabric, ALM and solutions, administration, governance and compliance, and Dataverse as an agent data platform, plus cross-cutting decision guides. Implementation notes, configuration decisions and the gotchas that bite on real projects. Populated by the daily author agent from the Dataverse release plans, docs repo and product blog, plus the author's own consultant notes.

feature-low-latency-sync.mdv2 · history
CurrentApplies to AdminUpdated 6 days agoSource Microsoft Learn

What it does

The redesigned sync engine behind Link to Fabric. It writes straight from the Dataverse database to delta parquet, dropping the intermediate CSV stage the original pipeline used. Same setup experience, one fewer hop.

Key facts

  • Announced GA on 9 June 2026 in the Power Platform blog, with a controlled rollout by station running through July 2026 — early release stations first, then Europe, Canada and India, then Asia Pacific and the UK, then the Americas and remaining stations.
  • It applies to Fabric Link configurations only. Synapse Link (bring your own lake or storage) carries on as-is on the existing pipeline.
  • No opt-in, no preview sign-up. Once your station is enabled, new Fabric Link setups use the new engine through the normal wizard.
  • Existing Fabric Link customers get it by unlinking and relinking once their station is enabled. That triggers a full initial sync of every configured table.
  • You confirm it's active by opening Azure Synapse Link in Power Apps and looking for the Low-latency mode flag on the Fabric link profile.
  • Microsoft cites throughput for finance and operations apps tables of upwards of 1M+ records per hour per table, up from a previous range of roughly 100K to 700K. Those figures are explicitly from lab and simulated conditions and vary by table size, region, churn and environment.
  • For customer engagement apps the claim is a significant improvement in delta sync latency rather than a published number.
  • Removing the CSV stage is pitched as a reliability improvement as much as a speed one — fewer failure points, less resource contention, simpler retry and recovery, and no CSV-to-delta encoding or schema mismatch edge cases.
  • The same announcement restated that Export to Data Lake is deprecated and being retired, with no further extension or exception process planned.
  • A new SQL analytics endpoint metadata sync is in preview alongside it (documented September 2026). Low-latency sync lands the data fast through shortcuts; the SQL analytics endpoint then has to pick it up, and the v2 metadata sync is the piece that stops that becoming the new bottleneck.
  • During preview, SQL endpoint v2 works only with a new workspace connection — you select a workspace with the new metadata sync enabled when you create the Link to Fabric. It isn't retrofitted to an existing link.
  • Change data feed (CDF) is memory- and compute-intensive and can raise latency even on low-latency sync. Microsoft now says this explicitly rather than leaving it to be discovered.

When to use / skip

There's nothing to decide about whether you get it — it arrives with your station. What you decide is whether to force it early. For a client already live on Fabric Link with acceptable latency, unlinking and relinking to pick it up means a full initial sync across every table, and that's a real outage window for downstream reports. Wait. For a client about to set up Fabric Link for the first time, check whether their station is enabled before committing to a go-live date, because starting on the old engine and migrating later costs you that same full resync. And if latency is the actual complaint driving the project, this is the answer and it's worth planning the relink around.

Configuration decisions

  • Whether to relink an existing profile now or wait for the rollout to reach you naturally, traded against a full initial sync of everything.
  • When the full resync runs, given downstream reports and dataflows go stale during it.
  • For finance and operations environments, whether the minimum supported build requirements are met — Microsoft defers those to the public documentation rather than stating them in the announcement.
  • Whether any client latency SLAs need restating now that the numbers have moved.

Gotchas

  • The headline throughput figure is a lab number with an explicit disclaimer attached. Quote it in a client meeting and you own it. Talk about the architecture change instead.
  • Unlink and relink is not a small operation. It removes the Fabric lakehouse and rebuilds from scratch. As of September 2026 the docs also warn that unlinking fails outright if Fabric items still reference the lakehouse or its SQL analytics endpoint — remove or repoint dependent artefacts first, or the relink you scheduled for a Saturday night doesn't start.
  • Rollout is by station, not by tenant or region as most people picture it, so two environments in the same organisation can be on different engines for weeks.
  • Documentation for this is currently thinner than the announcement. The detail lives in the June 2026 Power Platform blog post and the aka.ms/lowlatencylearnmore shortlink; the Learn pages for Link to Fabric describe the feature's behaviour but don't yet carry the rollout detail. If you need a citable prerequisite list for finance and operations, chase the Learn page rather than the blog.
  • It doesn't help Synapse Link at all. Clients who assume "the Fabric sync got faster" applies to their bring-your-own-lake profile will be disappointed.

Consultant notes

  • Check the Low-latency mode flag before you diagnose a latency complaint. Half the "sync is slow" tickets in mid-2026 are environments still on the old engine.
  • If a client has been holding off on Fabric Link because of freshness concerns, this is the reason to revisit that decision — but verify their station first rather than promising on the roadmap.
  • Use this as the lever to move remaining Export to Data Lake customers. The deprecation has no exception process and the replacement is now demonstrably faster than the thing it replaces.
  • Watch the difference between SinkModifiedOn and ModifiedOn if anyone tries to prove the improvement with a latency report. For long-running finance and operations transactions that difference is genuinely misleading, engine or no engine.

Revisit once the rollout completes globally, and again when SQL analytics endpoint metadata sync v2 leaves preview.

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