Zurich, Switzerland

Till Kolditz

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 14.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Till Kolditz

Introduction

Till Kolditz is an accomplished inventor based in Zurich, Switzerland. He has made significant contributions to the field of database management through his innovative techniques. His work focuses on optimizing query execution in databases, which is crucial for enhancing performance in data-driven applications.

Latest Patents

Till Kolditz holds a patent titled "Load-aware selection of query execution databases." This patent discloses techniques related to the load-aware selection of databases for executing queries. The methods involve receiving a query and generating query features along with current load features that indicate the availability of computing resources. By applying a model to these features, the techniques enable the selection of the most suitable database for executing the query, thereby improving efficiency.

Career Highlights

Till Kolditz is associated with Oracle International Corporation, a leading company in database technology. His role at Oracle allows him to work on cutting-edge innovations that address the challenges faced in database management. His expertise in this area has led to the development of solutions that enhance the performance and reliability of database systems.

Collaborations

Some of Till Kolditz's notable coworkers include Keshav Singh and Mia Primorac. Their collaboration fosters a creative environment that encourages the development of innovative solutions in the field of database technology.

Conclusion

Till Kolditz's contributions to database management through his patent and work at Oracle International Corporation highlight his role as a key innovator in the industry. His techniques for load-aware database selection are essential for improving query execution efficiency.

Profile summary based on public USPTO records.
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