Our roadmap for 2017.2 and beyond has been published.
Release 2017.2 is due the first week in May and will contain major enhancements to Genus Discovery.
Release 2017.3 is to be released the first week in June, with a contents to be announced later.
Our direction for 2017.3 and future releases has been updated.
Click here to have a look.
Take a look at our job ads!
In English: https://gen.us/js2016EN
In Norwegian: https://gen.us/js2016NO
The Norwegian job ad is also published on the finn.no job site here (available for a limited time period).
Lysaker, Norway (October 21, 2016) – Genus AS today announced that they have entered into a definite merger agreement under which Genus AS, a leader within high-productivity application development platforms, will combine with its subsidiary Genus Professional Services AS, a software implementation and consultancy company, to create a new and stronger company within software development and services.
Under the terms of the agreement, unanimously approved by both companies’ Boards of Directors, the merger will be implemented as an all-share merger of equals. The merger of the two companies will set the start of a new era for the Norwegian software company, with approximately 50 employees and an annual sales revenue of more than MNOK 60 combined.
The terms of the proposed transaction states that the businesses will be combined under Genus AS. Both companies’ shareholders have approved the transaction.
“Genus Professional Services, has since the beginning continuously recruited a solid base of professionals and experts in Genus App Platform. Together we can accelerate our growth, making Genus App Platform one of the preferred development platforms in the world, and attract the best talent in our industry.” – Geir Bergheim, CEO Genus AS.
“We are thrilled to join forces with Genus AS. Genus has developed a unique platform for rapid delivery of complex applications and this has been the key to our success in terms of customer satisfaction. By combining the technology and expertise of the companies we can share a unified strategy, continue to grow and build a solid foundation for our customers, partners and employees.” – Simen Torberg Larsen, CEO Genus Professional Services AS.
The strategic combination of the two complementary companies will bring together a best-in-class app platform with high performing professional service capabilities. The combination also creates opportunities for near-term growth through enhanced innovation and improved support for partners and customers. The companies have been working closely together since the founding of the subsidiary in 2008, and the merger is a natural step in a unified strategic direction in the time to come.
For more information:
We are proud to present “Where Database Technology Meets Model-Driven Engineering” with subtitle “Rethinking Internal Data Representation in Genus App Platform”, a master thesis from the Norwegian University of Science and Technology, NTNU, written by Håkon Åmdal and co-supervised by Genus.
The thesis builds on the pre-study “Implementation and Optimization Techniques for Business Discovery Products” also written by Håkon Åmdal, but the master thesis has a broader perspective: It aims at reevaluating how Genus App Platform and other platforms for Model-Driven Engineering should handle data internally, and see whether the storage formats and techniques from in-memory database technologies could be applied.
With this research, in Genus App Platform, column storage with dictionary encoding, bitpacking, and null pointer compression leads to a memory reduction of 67 % and a load time reduction of 36 % for the TPC-H inspired Data Mart Load Benchmark. Also, operations that are adjusted to utilize the column storage format sees a performance impact of one, two, and even three orders of magnitude compared to the original implementation. The new internal data representation in Genus App Platform does not significantly reduce transactional performance. Thus, by using Genus App Platform as a proof-of-concept, the work has shown how techniques used by read-optimized databases increase Model-Driven Engineering versatility by enabling such tools to handle and analyze large datasets.
The work has been supervised by Professor Svein Erik Bratsberg, with our colleague and Lead Technical Architect Einar Bleikvin as co-supervisor. The work is part of our ongoing co-operation with NTNU at many levels, from academic student organizations to the Department of Computer and Information Science. If you are a Master or PhD student interested in no-code / rapid application delivery / model-driven technology, please Contact Us for more information. You may also want to have a look at our Students page, where you will find information regarding Summer Internships, and Project and Master’s Theses.
Click the download link below to open the thesis. If you are interested in a demonstration of our flexible and interactive tool for exploring, analyzing and sharing data and insight with other end users, Genus Discovery, please Contact Us.