Deliverable 1.4 Horizontal Benchmarks – Data Management
Considering that horizontal benchmarking is focusing on a specific process or activity, this document will present the various horizontal benchmarks in the area of data management, including data acquisition and curation and data storage for various classes of storage systems.
The deliverable D1.4 is responsible for the initial classic layer of big data benchmarks related to data management including data acquisition and curation and data storage for various classes of storage systems. The deliverable D1.4 is focusing on classical big data benchmarks related to data management covering both for data acquisition and curation, and for data storage. It will be examined a number of existing database benchmarks for various types of SQL and NoSQL storage types and file systems as part of this classical area of database benchmarking. Different indexing and retrieval schemes will be benchmarked for the various big data types. The historically successful benchmarks such as the TPC-series of benchmarks with BigBench, BigDataBench and many others will be analyzed. The Linked Data/Graph database benchmarks focuses here on the performance of Graph databases and RDF storage. The suite of horizontal benchmarks adapted for this will be representative of all relevant data management solutions relevant for the industrial requirements.
This document will classify the benchmarks to four categories:
- Data Protection: Privacy/Security Management Benchmarks related to data management
- Data Management: Data Storage and Data Management Benchmarks
- Edge and IoT Data Management Benchmarks