Publication
PolyBench: The First Benchmark for Polystores
Jeyhun Karimov; Tilmann Rabl; Volker Markl
In: Performance Evaluation and Benchmarking for the Era of Artificial Intelligence - 10th TPC Technology Conference. Technology Conference on Performance Evaluation and Benchmarking (TPCTC-2018), August 27-31, Rio de Janeiro, Brazil, Pages 24-41, Lecture Notes in Computer Science (LNCS), Vol. 11135, Spinger, 2018.
Abstract
Modern business intelligence requires data processing not only across a huge variety of domains but also across different paradigms, such as relational, stream, and graph models. This variety is a challenge for existing systems that typically only support a single or few different data models. Polystores were proposed as a solution for this challenge and received wide attention both in academia and in industry. These are systems that integrate different specialized data processing engines to enable fast processing of a large variety of data models. Yet, there is no standard to assess the performance of polystores. The goal of this work is to develop the first benchmark for polystores. To capture the flexibility of polystores, we focus on high level features in order to enable an execution of our benchmark suite on a large set of polystore solutions.