SolarWinds has enhanced the monitoring of database performance by introducing Database Performance Analyzer (DPA) for SAP HANA® Cloud. As part of the new release, DPA 2026.2, the technology brings in unified telemetry that works on both cloud and hybrid environments, and helps database administrators (DBAs) discover bottlenecks, reduce troubleshooting time, and ensure system availability.
Through the combination of native SAP HANA diagnostics and the already existing wait-based analytics, automatic alerting on anomalies, and artificial intelligence-based query optimization, SolarWinds hopes to shed light on the data coming from multiple layers of infrastructure. In this way, the upgraded technology offers an ability to engineers to have forensics-level information about instance latency and detect execution problems before they impact business applications.
Mitigating Costly DB Downtime in Corporate Ecosystems
Present-day enterprise resource planning (ERP) software, accounting systems, analytics solutions, and key logistics processes depend on SAP HANA Cloud as the underlying computing architecture. In this case, any slowing down of data processing performance instantly results in overall system performance decline for all front-end operational applications.
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Diagnosing the underlying causes of such issues in these sophisticated systems has traditionally been the task of highly experienced database administrators who were forced to use laborious and manual troubleshooting practices. As per the report on the State of Database for 2025 issued by SolarWinds, 27 out of 52 hours of the typical work week of DBAs are spent tackling urgent performance problems; only 40 percent of the participants have integrated monitoring tools available.
This operational gap is filled by DPA 2026.2 which provides unified database visibility from a single dashboard.
Technical Specifications and Capabilities
The integration expands the platform’s core functional parameters, introducing a series of specialized diagnostic layers:
Hybrid Ingestion Architecture: Creates an SAP HANA target class specifically for DPA to ensure that both SAP HANA Cloud and on-premise systems running SAP HANA 2.0 or newer can be supported via quarterly release cycle updates.
Flexible Architecture: Allows for simultaneous visibility into both Single Container and MDC architectures to avoid any blind spots in hybrid database architectures.
Multi-Dimensional Metrics: Extends DPA’s wait-time diagnostic engines across specialized database components, covering Quick, Plan, SQL Text, Stats, Blocking, and Summarization dimensions.
Dynamic Threshold Automation: Implements intelligent threshold monitoring across wait metrics, localized resource consumption, administrative states, system blackout windows, and custom alert variables to capture behavioral anomalies early.
Continuous Cloud Capability Scaling: Features modular infrastructure definitions designed to continuously enrich SAP HANA cloud observability vectors with each subsequent DPA software lifecycle update.
Shared Strategic Vision
“As SAP HANA Cloud has become the foundation for the most demanding SAP workloads, the pressure on database teams to maintain consistent performance has never been higher,” said Bharat Bedi, General Manager, Database Observability, SolarWinds. “The challenge isn’t a lack of data; it’s a lack of clarity. SolarWinds DPA for SAP HANA Cloud cuts through that with wait-based analytics, intelligent alerting, and AI-assisted tuning that puts optimization in reach for every DBA on the team.”