Database Performance Benchmarking Evaluation

The modern database market has grown to over 350 industry-ready DBMS solutions and more than 200 Database-as-a-Service products - espescially when it comes to time-series databases for IoT, Industry 4.0 and monitoring or analytical databases for machine learning, business intelligence and data warehouses.

Evaluating, comparing and tuning these solutions is a multi-criteria IT decision, which lacks independent, reliable and application-specific performance and scalability data. Assume nothing, measure everything!

benchANT Professional enables an easy, reliable and cost-efficient Benchmarking-as-a-Service solution with support for workload-modeling, setup definition and result analysis.

What do you get?

• Application-specific workload modeling OR benchmarking based on real traces
• Automated, scientifically-approved, reliable and independent measurement process
• Result dashboard: High-Level, Detail, Expert and Audit visualization layers
• KPI: Throughput
• KPI: Throughput per Costs
• KPI: Latency (READ/WRITE)
• KPI: Storage Consumption
• System metrics: Utilization of CPU, Memory, Storage
• Support in every benchmarking step

Supported DBMS & DBaaS

• CRUD: MongoDB, MongoDB Atlas, Couchbase, Apache Cassandra, HarperDB, DataStax, ScyllaDB, ...
• OLTP: PostgreSQL, MySQL, MariaDB, AWS RDS, MS Azure Databases, ...
• Time-Series: InfluxDB, Timescale, VictoriaMetrics, QuestDB, TDEngine, ...
• OLAP & HTAP: Exasol, SingleStore, Clickhouse, ...
• and a lot more

Supported Infrastructure

• AWS EC2, MS Azure, GCP, Alibaba, Tencent, IONOS Cloud, Open Telekom Cloud,...
• Private Cloud (Openstack, ...)
• On-Prem (virtualisied, non-virtualised)
• Multi-Cloud setups

Getting started

1. Via Continue button
2. Online assessment (video call)
3. Benchmarking goal definition
4. Individual offer
5. Application & Workload
6. Databases & configurations
7. Infrastructure
8. multiple Benchmarking runs
9. Result calls
10. repeat Step 8 and Step 9 until enough data is available