DEBS 2026: Call for Challenges
Since 2011, the DEBS Grand Challenge has
anchored the community’s benchmarking culture
with yearly, data-backed problems. The Challenge
has spanned multiple domains, including social
games, manufacturing equipment, soccer
monitoring, smart homes, taxi trips, social
networks, RDF, maritime transportation with ML,
LiDAR, NILM, AQI, market data, and HDD
telemetry, while holding evaluation steady on
correctness, throughput, and latency. Some
challenges (e.g., the 2015 taxi trips) became de
facto benchmarks, pushing stream processing
beyond the DEBS limits.
This year, we propose an alternative format: a “Call
for Challenges” that invites companies and
researchers to contribute well-specified, evaluable
problems backed by representative datasets and
well-defined evaluation criteria.
Selected proposals will have the opportunity to
become next year’s DEBS Grand Challenge, gaining
visibility and attracting original solutions from
experts in event and stream processing.
Why should a company participate? The pitch for
your boss/CEO
-
Strategic R&D leverage: turn a real
backlog problem into a public benchmark; obtain
diverse solution ideas without contracting
multiple vendors.
- Technical hiring magnet: attract and
identify top candidates through leaderboard
results, artifact reviews, and finalist
Q&A.
- Technology benchmarking: receive an
independent, apples-to-apples comparison of
relevant methods on your data characteristics
(skew, bursts, late events, drift).
- Standards influence: shape evaluation
metrics and harness features used by academia and
industry in subsequent years.
- Brand amplification: selected
challenges will be presented at DEBS and top
proposals will be adopted as official DEBS Grand
Challenge problems in the following year,
potentially becoming long-term community
benchmarks.
What is needed
- Problem statement: domain, queries/tasks, KPIs, constraints, success criteria.
- Dataset and its spec: schema, size, velocity, skew, nulls, anomalies,
- Operations: access modality (files, API, enclave), reference hardware profile, allowed dependencies.
- Evaluation criteria:
- Minimum: correctness tests, metric definitions.
- Good: ground truth to test the accuracy of the results.
- Ideal: baseline solution to compare against.
- Legal: data license/DUA, IP expectations, publicity terms, export restrictions.
Submissions
Participants are expected to
submit a short paper (maximum 6 pages) describing
the proposed challenge and the main technical
difficulties it introduces
https://cmt3.research.microsoft.com/DEBS2026.
The paper should clearly describe the datasets, the
evaluation criteria, and the access modalities, and
motivate the relevance of the proposal to the DEBS
community.
Review and selection criteria
Submitted papers will be reviewed by the DEBS Grand
Challenge Program Committee. Each proposal will be
evaluated based on the following criteria:
Originality and novelty of the proposed challenge,
including its potential to stimulate new research
directions and non-trivial solutions in event and
stream processing.
Relevance and alignment with the topics of the
DEBS conference, and with the Grand Challenge
tradition.
Quality, representativeness, and availability of
the dataset, including clarity of the data
specification and feasibility of access for
participants.
Soundness and clarity of the evaluation
methodology, including well-defined metrics,
correctness criteria, and comparison procedures.
Reviewers will assess both the scientific
interest of the problem and its suitability as a
benchmark-style challenge for the community.
Outcome of the Call for Challenges
This Call for Challenges directly feeds into the
next edition of the DEBS Grand Challenge.
Among the accepted submissions, one or more top
proposals will be selected and used as official DEBS
Grand Challenge problems for the subsequent
year.
Authors of the selected proposals will be invited
to collaborate with the DEBS Grand Challenge
organizers in finalizing the problem specification,
datasets, and evaluation process, and may be
involved in the assessment of submitted
solutions.
Grand Challenge Co-Chairs
Luca De Martini, Politecnico di Milano
Alessandro Margara, Politecnico di Milano
Jawad Tahir, Technical University of Munich, Germany
Riccardo Tommasini, INSA Lyon, France
Sebastian Frischbier, Allianz Global Investors