Karlsruhe, Germany

Frank Eichinger

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.5

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2014-2020

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4 patents (USPTO):Explore Patents

Title: Frank Eichinger: Innovator in Database Technology

Introduction

Frank Eichinger is a notable inventor based in Karlsruhe, Germany. He has made significant contributions to the field of database technology, particularly in the area of efficiently querying compressed time-series data. With a total of four patents to his name, Eichinger's work has had a substantial impact on how data is managed and accessed in modern databases.

Latest Patents

One of Frank Eichinger's latest patents focuses on the efficient querying of compressed time-series data in a database. This innovation involves receiving a query that specifies at least one value, with the database containing an index table and a segments table. The index table specifies groups of segments of compressed time-series data, each with corresponding ranges defined by a lowest and highest value. By utilizing the index table, Eichinger's method identifies groups where the specified value falls within the range. The segments table is then queried to generate a new segments table that specifies at least one segment. Following this, the identified segment is decompressed, allowing for the identification of data responsive to the query.

Career Highlights

Throughout his career, Frank Eichinger has worked with prominent companies such as SAP SE and SAP AG. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in database technology.

Collaborations

Frank Eichinger has collaborated with notable professionals in his field, including Dennis Kurfiss and Pavel Efros. These collaborations have likely enriched his work and contributed to the development of his patents.

Conclusion

Frank Eichinger is a distinguished inventor whose work in database technology has led to significant advancements in efficiently querying compressed time-series data. His contributions continue to influence the way data is managed in various applications.

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