Our "short but impressive" Success Story
Prototype „Mowgli“ is accepted as an excellent scientific and technical benchmarking solution confirmed by the renowned SPEC-RG.
Standard Performance Evaluation Council Research Group (SPEC-RG), 2020
Industry cooperation with DaimlerTSS for qualitative analysis of existing distributed databases for a planned Cloud migration, combined with quantitative analysis of performance, scalability and availability.
Cooperation project „Cloud2go“ Ulm University & DaimlerTSS, 2019
Funded for outstanding business plan by the Federal Ministry of Economic Affairs and Energy (BMWi) of Germany and co-financed by the European Social Fund.
EXIST Transfer of Research, Phase I 2020
How to find the optimal Cloud Database setting?
Countless Cloud Database combinations appear reasonable for each software project requirements!
Multiple dependent decisions have to be made!
Public / Private /Hybrid Cloud
AWS / MS Azure / Google Cloud / IBM Cloud / OpenStack / …
Or an european provider for improved GDPR?
Data model: SQL / NewSQL / NoSQL
Technologies: PostgreSQL / CockroachDB / Cassandra / MongoDB / …
Architecture: single instance / master-slave / multi-master
CRUD / OLTP / HTAP / OLAP
YCSB / TPC-C /TSBS / HTAPBench / …
Wide comparability / database-specific benchmarking
Resource types: physical / VM / container
Hardware flavours: small / medium / large / specialised
Storage backends: HDD / SSD / remote storage
Database cluster size: 1 / 3 / 5 / …
Replication Factor: 1 / 2 / 3 / …
Consistency Level: weak / medium/ strong
Database-specific runtime settings
Workload distribution: read / write / update
Workload intensity: 1 thread / 100 threads / 10 instances with 1000 threads / …
Data size: 1 GB / 100 GB / 1TB / …
How to make these important decisions?
They are even strongly related to each other. All research efforts and benchmarks results show significant correlations!
Cloud and Database are always related!
Make thousands of Cloud Database Benchmarks in a few clicks!
Benefit from over 15 years of research and more than 2 years of software development combined in our modern solution.