We believe that LDBC will significantly contribute to and support the emergence of a Linked Data Economy and Market Place that might also be interesting for our own commercial endeavours in the field. We are keen to engage with the project by adopting lessons learned from the project in future commercial ventures. In order to make sure that the requirements of the media and publishing industry are properly reflected within this project, we plan to become a member of the LDBC Technology Users Group.

I welcome the LDBC idea of establishing standardized data sets and methodology for benchmarking Semantic Web and especially Linked Data technology. The LDBC effort would help Semantic Web technology vendors to better understand typical use cases for Semantic Web technologies and allow them to measure the performance of their products. The effort would furthermore give vendors a good guidance for the actual problems users of their technology want to solve and thus foster the competitive development of core technology for tomorrow's, if not today's information society.

We fully support the objectives of the LDBC proposal and agree that such an initiative is overdue. Good benchmarks, that replicate real use-cases, will encourage vendors to make advances that directly benefit users. In principle, KMi would be interested in joining the LDBC user community in order to be able to monitor their progress, provide feedback on the benchmarks designed based on our own needs for ongoing activities, and to benefit from the evaluation of different implementations for our future technology needs.

The explosive growth of data over the past ten years has led to the need to manage all forms of data leading to the Big Data movement that includes NoSQL DBMSs. There are over 50 NoSQL DBMSs and over 20 special purpose DBMS types for example, scientific data (SciDB), documents, media/contents, and time series data. There is now a need for objective benchmarking for these new DBMS classes. The Linked Data Benchmark Council for RDF stores is one of the first to emerge. I fully support the objectives of the Linked Data Benchmark Council and its proposed methods and plans.

Absolutely agree that LDBC is a good and much needed initiative. An initiative that provides a place to find some answers to developers and researchers concerns is indeed extremely valuable. The LDBC proposal sets out clear requirements and contains the right mix of individuals and organisations. I particularly like the fact that you are aiming for producing a number of benchmarks as one size will never fit all. For example, there will be consumers interested in using tools with limited or no reasoning capacity required while some will be interested in finding the right tools where the reasoning is heavily utilised.

Garlik feel that there is a significant gap in industry and research practice in this area, and the existence of an organisation to develop and promote standards in this area would be extremely beneficial. If such a council were to exist, Garlik would be interested in joining.

The need for such an initiative similar to TPC for relational DBs is clear and well focused since the graph technology progress is becoming very important and useful. We, as a Marketing analytics business organisation, will be very glad to be part of the User Group Community for LDBC.

NuvolaBase Ltd, the company behind OrientDB product, sees in the LDBC the best way to execute a real benchmark between GraphDB engines simulating real scenarios and the most common use cases in Graph Processing. A benchmark to be recognized as fair needs the support of the major players in the GraphDB market. This is the reason why NuvolaBase will invest resources to contribute in the writing of the benchmarks and supporting the OrientDB implementation.

The LDBC project is a great idea and the Press Association fully supports it. We intend to become active members of the LDBC Technical User Community. LDBC will provide the opportunity to bring problems specific to Press Association before world-leading experts - this will lead to analysis and understanding of these problems, which in the short-term leads to workarounds and alternative approaches, and in the long-term, innovative solutions to these classes of problems.

I am glad to hear about the creation of LDBC if the EC project you are applying for is granted. The need for such an initiative similar to TPC for relational DBs is clear and well focussed since the graph technology progress is becoming very important and useful. We, as a Marketing analytics business organization, will be very glad to be part of the User Group Community for LDBC. Please, count on us for an active participation in the activities you will be performing and as part of the User Group of LDBC.

Connected Discovery is very pleased to participate in the gathering of requirements such as business questions, queries and datasets as part of a LDBC user community. We would happily make use of our extensive network across the life-science commercial sector to obtain input from a wide range of industry scientists to ensure the project would be delivering results that really matter.

We believe that the establishment of meaningful benchmarks is essential to the widespread development and adoption of this technology. The BBC fully supports the LDBC initiative and looks forward to becoming an active member of the Technical User Group. We would like to see some benchmarks around ingest and inference rule-sets. I don’t think there is anything very useful at the moment. We will be happy to release our datasets to help get some useful results for the BBC and the whole community.

We do consider this an important initiative. We have done some limited work in this space ourselves, but agree that to continue to drive improvements in support for RDF and Graph databases, use cases and benchmarks are essential. IBM would, in principle, be interested in joining an LDBC User Group.