Dataverse virtual tables on SQL: three latency patterns

May 24, 2026 · 5:54 AM UTC ·5 min read · 0 reactions · 0 comments · 30 views

#dataverse #latency #virtual tables #sql #performance

TL;DR · WeSearch summary

Dataverse virtual tables allow users to access data from external sources without duplicating it in Dataverse. The performance of these virtual tables is influenced by latency patterns, which are critical for determining their suitability for specific use cases. Three benchmark scenarios are used to evaluate the latency of virtual tables, highlighting the importance of the underlying data source and network conditions.

Key facts

▪Virtual tables in Dataverse enable access to data from SQL Server, Cosmos DB, or REST APIs without data duplication.
▪Latency benchmarks are crucial for assessing the performance of virtual tables, with three specific scenarios evaluated.
▪The three latency patterns include SQL Server in the same region, REST API calls, and virtual tables with provider-side caching.

About this source

DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

All DEV.to (Top) coverage →

Original article

DEV.to (Top)

Read full at DEV.to (Top) →

Story provenance

Source · retrieval · rights · ranking — open for full record

inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/sapotacorp/dataverse-virtual-tables-on-sql-three-latency-patterns-ma
Publication time	Sun, 24 May 2026 05:54:29 +0000
Retrieval time	2026-05-24T06:07:31.076Z
Last seen	2026-05-24T06:07:31.076Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	fXzhVYdX2tMr
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3948393) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } SapotaCorp Posted on May 24 • Originally published at sapotacorp.vn Dataverse virtual tables on SQL: three latency patterns #powerplatform Virtual tables let Dataverse surface data that lives in another system - SQL Server, Cosmos DB, a REST API - without copying it into Dataverse. The user-facing experience is the same as any table: views, forms, lookups, relationships. The underlying retrieval goes out over the wire to the external source on every read.

…

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

Anonymous · no account needed

Discussion

0 comments