Application

Application

IoT

Big Data applications need to persist and process tremendous amounts of heterogenous data for analytical processing. The data is typically consumed by Big Data Processing frameworks.

Challenges

BigData

Big Data applications need to persist and process tremendous amounts of heterogenous data for analytical processing. The data is typically consumed by Big Data Processing frameworks.

Challenges

AI / Machine Learning

Machine Learning applications have diverse requirements towards data storage and persistence depending on the actual task in the ML life-cycle: data collection, pre-processing, training, inference.

Challenges

Web 2.0

Web 2.0 applications need to handle continuously growing numbers of semi-structured data in a performant manner.

Challenges

eCommerce

Cloud-native applications are completely operated in the cloud ecosystem to fully exploit the benefits of scalable and elastic cloud resources. In consequence, the databases are part of the cloud ecosystem.

Challenges

Cloud Native ops

Cloud-native applications are completely operated in the cloud ecosystem to fully exploit the benefits of scalable and elastic cloud resources. In consequence, the databases are part of the cloud ecosystem.

Challenges

Holistic Benchmarks

Measuring all relevant KPIs : Performance, Scalability, Availability, Elasticity, Costs

On-Demand Delivery

Constantly available acess to the decision platform with a fully automated result delivery process!

Individual Requirements

READ/WRITE data workloads fully adaptable to your specific situation.

Modern Technologies

Choose from all NoSQL, NewSQL and SQL databases in the actual version, and from all availbale Cloud configurations.

Independent Advice

We deliver independent advice without priveleging any DBMS or Cloud provider. We help you to find the optimal solution.

Leading experts

You can trust in our well-educated and trained team with an impressive research career. Contact us!

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