OneSparse combines the power of Linear Algebra and PostgreSQL to create the next-generation of data-rich AI and ML applications. Powerful SQL queries, combined with the analytical power Sparse Linear Algebra, provide a rich framework for high performance GraphRAG, Sparse Distributed Representations, and architecture agnostic sparse parallel performance on CPUs, GPUs, and cutting edge sparse accelerators.
Michel is Python and Postgres coder and author of multiple libraries and extensions. He has decades of experience with complex data problems from large scale text search to machine learning and graph analysis. He is a member of the GraphBLAS C API Committee and long time contributor to sparse linear algebra with the GraphBLAS.
David A. Bader is a Distinguished Professor and founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology.
Dr. Timothy A. Davis is a Professor in the Computer Science and Engineering Department at Texas A&M University and a Fellow of SIAM, ACM, and IEEE. He serves as an associate editor for the ACM Transactions on Mathematical Software. In 2018, he received the Walston Chubb Award for Innovation from Sigma Xi.
Graphs present the most difficult computing challenges faced by enterprise users today. Trillions of rows of data are stored in relational databases, but SQL does not have the analytical power to bring insight from existing data.
OneSparse's core product provides high performance sparse linear algebra on the most powerful open-source relational database in the world: PostgreSQL.
GitHub DocsOneSparse Graphony provides high level graph abstractions on top of python-graphblas, including Python Postgres stored procedures and native integration with Python's psycopg2 database driver.
GitHubOneSparse's team are all core contributors and innovators to the GraphBLAS C API and key members of the GraphBLAS Forum. We drive the innovation and community engagement in this industry wide standardization of Sparse Linear Algebra.
WebsiteThe reference implementation of the GraphBLAS API is a foundational library for all of OneSparse and many other software frameworks like MATLAB. OneSparse helps support the development of SuiteSparse and contribute important use cases to its future development.
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