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Azure SQL Managed Instance Next-gen GP boosts throughput without raising baseline cost

Aug. 3, 2026
By AI, Created 14:15 UTC, Aug 03, 2026, AGP -

Principled Technologies found Microsoft Azure SQL Managed Instance Next-gen General Purpose outperformed classic General Purpose in benchmark testing, with the baseline configuration delivering 2.66 times the OLTP throughput and 1.40 times the analytics throughput at the same monthly price. The results suggest cloud teams can get more database performance without changing their purchasing model, while a boosted option can raise performance further at a higher cost.

Why it matters: - Azure SQL Managed Instance customers looking to upgrade database performance may get more transaction and analytics throughput without paying more for the baseline tier. - The benchmark results point to a lower-friction path for teams that want better performance but do not want to move to a more expensive service model.

What happened: - Principled Technologies released benchmark research on Microsoft Azure SQL Managed Instance Next-gen General Purpose versus classic General Purpose. - The testing used HammerDB 5.0 on SQL Server 2025 and measured both OLTP and OLAP workloads. - The research compared three Azure pricing models and three configurations: classic GP baseline, Next-gen GP baseline, and Next-gen GP boosted. - All configurations used 8 vCores and Premium-series hardware on Intel Xeon Platinum processors.

The details: - Classic GP baseline and Next-gen GP baseline used identical vCore, memory, and storage allocations, including 56 GB of memory. - The Next-gen GP tier’s higher IOPS ceiling was a key architectural difference in the testing. - On the TPROC-C OLTP benchmark, Next-gen GP baseline delivered 2.66 times the new order transactions per minute of classic GP baseline. - Next-gen GP boosted, set to 96 GB of memory and a 12,800 IOPS ceiling, delivered 10.88 times the NOPM of classic GP baseline. - Next-gen GP boosted also delivered 4.08 times the NOPM of Next-gen GP baseline. - The higher IOPS available to Next-gen GP instances helped sustain higher transaction rates under load. - On the TPROC-H analytics benchmark, Next-gen GP baseline delivered 1.40 times the query sets per hour of classic GP baseline. - Next-gen GP boosted processed 3.89 times as many query sets per hour as classic GP baseline. - Next-gen GP boosted also processed 2.77 times as many query sets per hour as Next-gen GP baseline.

Between the lines: - The report indicates that the baseline Next-gen GP tier is not a tradeoff between price and performance, because PT found identical monthly costs across pay-as-you-go, 3-year reserved, and Azure Hybrid Benefit pricing. - For teams already on classic GP, the study suggests a migration to Next-gen GP could raise throughput without changing monthly spend. - The boosted configuration shows what additional budget can buy, but the gains come with a monthly cost increase of roughly 30% to 117% depending on pricing model. - For boosted Next-gen GP, PT found up to 7.80 times the OLTP performance per dollar of classic GP at pay-as-you-go pricing. - PT also found up to 2.98 times the analytics performance per dollar for boosted Next-gen GP.

What's next: - Database administrators and cloud architects weighing new deployments or migrations can use the benchmark to compare performance gains against cost impact. - Organizations running classic GP today can capture the baseline throughput gains by moving to Next-gen GP hardware while keeping the same purchasing model. - Principled Technologies says the full report is available to read, and the company directs readers to the report for more information.

The bottom line: - Next-gen GP delivered materially higher database performance than classic GP in PT’s testing, and the baseline upgrade carried no added monthly cost.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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