Performance Engineering
Database Performance Analysis
Industry leading performance engineering for commericial and open source database on all platforms and operating systems.
- Independent workload engineering, regression analysis and tuning for commercial and open-source database engines
- OLTP/OLAP workload design and tuning
- Bottleneck identification & optimisation
- Cloud performance and scaling analysis
- Publishable benchmark results & whitepapers
- Workload validation for new releases
CI Support
Benchmark CI Integration Support
Guidance and support for integrating HammerDB into your internal CI pipelines for
automated, reproducible performance testing.
- HammerDB CI workflow setup & configuration
- Help integrating CI with GitHub/GitLab/Jenkins
- Workload profiles for regression detection
- Structured JSON/SQLite result handling
- Performance comparison & validation support
- Automated lights out testing
- Pinpoint performance issues
Platform Enablement
Database & Platform Support
Enable HammerDB on new platforms, engines and architectures with tailored
enhancements and vendor collaboration.
- New database driver support
- Integration with cloud and hardware platforms
- Advanced telemetry & performance metrics
- Custom CLI/GUI enhancements
- Priority fixes & new feature development
Coming 2026
HammerDB ARM Edition
ARM support for Linux and Windows is in development and will be available to
hardware and cloud vendors during 2026.
- Planned ARM64 builds for Linux & Windows
- ARM vs x86 comparison workloads
- Early-access for Ampere, Graviton, Azure Cobalt & Oracle Cloud
- PostgreSQL/MySQL/MariaDB ARM optimisation
- Future ARM CI support
Pilot 2026
Benchmark-as-a-Service (BaaS)
Automated, cloud-hosted benchmarking using standard HammerDB workloads,
designed for reproducible and cost-efficient testing.
- Self-service SQL benchmark execution
- Pre-built OLTP/OLAP workloads
- Cost/performance analysis
- Secure, reproducible testing environments
- Enterprise & vendor early-access programme
