Thesis: Performance evaluation of time-series and traditional databases for high frequency workloads

High Level Description
The increase in IoT devices has led to a rapid growth in time-series data. While traditional relational databases are commonly used to store such data, specialized time-series databases have emerged claiming improved performance, scalability, and storage efficiency for time-stamped workloads.

Investigate ideal conditions for large time sorted data.

Project Description
This thesis aims to compare modern time-series databases with traditional relational database solutions and evaluate their suitability for different workloads. The study will focus on key performance metrics such as data ingestion rate, query response time, storage efficiency, and resource utilization under large data volumes and access patterns.


Who are we looking for?

• Bachelor of Science in Computer Science/Engineering
  
• Graduation in June 2027
  
• Fluency in Swedish, both written and spoken
  
• Fluency in English, both written and spoken
  
  Purpose
  
  
• How do different time-series databases compare in terms of ingestion performance, query latency, and storage efficiency?
  
• How do time-series databases perform relative to traditional relational databases when handling time-series workloads?
  

• At what scale or workload characteristics do time-series databases begin to outperform traditional databases?
  

• What trade-offs exist between performance, scalability, operational complexity, and resource consumption?
  

• Which database technologies are most suitable for different time-series data use cases?
  

• Can one create their own simple time-series optimized extension?
  

• What table structures and indexing patterns optimize large time-series data sets both within traditional and time-series databases?
  
  
  An Exciting Journey with Knightec Group
  Semcon and Knightec have joined forces as Knightec Group. Together, we are Northern Europe's leading strategic partner in product and digital service development. With a unique combination of cross-functional expertise and a holistic business understanding, we help our clients realize their strategies - from idea to complete solution.
  

Practical Information
This is a thesis position, located at our office in Sundsvall . Start date January or March 2027.

Please submit your application as soon as possible, but no later than 2026-11-30 . If you have any questions, you are welcome to contact johanna.edstrom@knightec.se . Note that due to GDPR, we only accept applications through our careers page.