About DataBench Project

Organisations rely on evidence from the Benchmarking domain to provide answers on how their processes are performing. There is extensive information on how and why to perform technical benchmarks for the specific management and analytics processes, but there is a lack of objective, evidence-based methods to measure the correlation between Big Data Technology (BDT) benchmarks and an organisation’s business benchmarks and demonstrate return on investment (ROI).

The DataBench project addresses this significant gap in the current benchmarking community’s activities, by providing certifiable benchmarks and evaluation schemes of BDT performance of high business impact and industrial significance.

DataBench Outcomes

DataBench Framework

Including a complete set of metrics for BDT assessment.

Multiple Analysis

Assessing the European and industrial significance of the BDT examined by the project.

DataBench Toolbox

A tool to connect and evaluate external initiatives.

DataBench Handbook

Providing guidelines to the use of the project’s results, Framework & Toolbox, describing metrics implementation and benchmarks.

DataBench Toolbox

Based on existing efforts in big data benchmarking and enabling inclusion of new benchmarks that could arise in the future, the DataBench Toolbox provides a unique environment to search, select and deploy big data benchmarking tools, giving the possibility to generate unified technical metrics and, most importantly, going the extra mile and derive business KPIs for your organization.


What can the DataBench Toolbox offer you?

Benchmark Providers

Business users

Technical users


Deliverable 4.3 Evaluation of Business Performance

The goal of this deliverable is to present the results of the evaluation of business process performance based on evidence from data collection activities. We have learnt several lessons... 

Deliverable 4.4 DataBench Handbook

This is the DataBench Handbook and final report of DataBench WP4. Its main goal is to support the final exploitation and sustainability of the project’s results by providing information... 

Deliverable 2.4 Benchmarks of European and Industrial Significance

One of the DataBench project’s central goals is to design, develop, and validate via industrial case studies a benchmarking process based on highly relevant business metrics to help European... 


DataBench Toolbox validation campaigns: Have your say!

DataBench is launching two validation campaigns to evaluate the usage of the DataBench Toolbox, a one-stop... 

Watch the recording of DataBench Final Event @ EBDVF2020

After three years of intensive work, DataBench has created an evaluation framework, available for the community,... 

Download the presentations from DataBench Final Event @ EBDVF2020

Download all the presentations from DataBench Final Event at EBDVF2020!   Welcome to DataBench, Richard Stevens... 



  • RT  @tpariente : Very interesting blog post from  @rapw3k  about #KnowledgeGraph in #agriculture. Mapping an agriculture blueprint from  @H2020D … 3 years ago
  • RT  @Pcarnelley : Great to see  @DataBench_eu  research being used in the field. #benchmarking #BigData #analytics #AI https://t.co/6zl02aD8to 3 years ago
  • RT  @DataEcoEU : On 25 November 2020, the European Commission proposed the Data Governance Act. The deployment of the Connecting Europe Facil… 3 years ago

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