Skip to Content
Sazinieties ar mums
Tērzēt tūlīt Tērzēt bezsaistē
Saņemiet palīdzību tiešsaistē un tērzējiet ar SAP pārstāvi.
Sazinieties ar mums
Nosūtiet mums pa e-pastu komentārus, jautājumus vai atsauksmes.
SAP HANA

Bridging the gap between academia and industry research

Previous Next
icon of person

The SAP HANA Research group connects academic and industry experts to conduct cutting-edge research dedicated to solving database challenges. Together, we strive to continuously improve SAP HANA—with access to insights from SAP customers and well-known academic institutions, both locally and worldwide.

Research Framework

Previous Next
magnifying glass looking at data

Research

We aim to advance knowledge in the field of database development with technology invention and transfer, including prototype implementation and evaluation.

three pictograms representing people

Fostering collaboration

Partnering with leading research institutes and universities, we recruit students, developers, and architects to foster interdisciplinary research collaborations.

Figures representing three people

Supporting academia

We build and nurture the SAP HANA ecosystem by attending and presenting at conferences, hosting workshops, and publishing academic content in scientific journals.

Research Areas

Focus areas of the research include, but aren't limited to, the following topics.


Previous Next

Query processing

Investigate adaptive query processing, vectorization, just-in-time query compilation, and domain-specific query processing.

Query optimisation

Research various facets of query optimisation, including robust query plans, data partitioning, and midterm query re-optimisation.

Self-tuning database

Apply machine learning concepts to automate database-tuning operations, such as data partitioning and data-aging processes.

Indexing

Analyse novel ideas for indexing data structures – from tree-like indexes to minimal ones – that span a wide spectrum of use cases.

Data storage

Explore various aspects of data storage, such as alternative storage layouts, new compression techniques, and replication.

Quality assurance

Increase product quality and reduce related costs by researching modern technical approaches with automatic test generation, test redundancy detection, and failure detection.

Modern Hardware

Improve database systems with novel hardware technologies such as new CPU features, GPUs, nonvolatile memory, and field-programmable gate arrays.

Distributed data management

Investigate data partitioning strategies, distributed database operators, and the use of high-speed networking hardware.

Transaction processing

Optimise transaction concurrency control techniques to decrease transaction latency and increase transaction throughput.

Research Publications

The SAP HANA research team has achieved many compelling research results that foster the technology leadership of SAP HANA with frequent contributions to peer-reviewed research venues.


Previous Next
https://avatars.services.sap.com/images/ioukid.png
Dr. Ismail Oukid
SAP

SAP, TU Dresden, and Intel Researchers Named Finalists of Award for Work on Next-Generation Memories

Read the summary for the paper: “Memory Management Techniques for Large-Scale Persistent-Main-Memory Systems”.

Get involved

Previous Next

Internships

We offer research and development internships as well as bachelor’s and master’s thesis opportunities. PhD internships, which range between three to six months, are available to students who want to join a development team and tackle a well-defined research topic.

Continuing research

We offer partnerships on specific research projects and provide sabbatical opportunities for professors

Back to top