- Astonishing Performance: Brytlyt’s GPU database acceleration technology is transforming the way businesses use data. With Brytlyt, companies can query multi-billion row datasets in milliseconds.
- Easy integration with existing systems: There’s no need for businesses to lose their current investments in code, analytics, and visualization. Instead, they can accelerate them with Brytlyt with little to no effort.
- Smooth scalability: Businesses can add and remove GPU resources at will, scaling their processing capability to suit their needs, ensuring they can massively reduce their data processing costs.
- Functionality-rich & easy to use: Brytlyt GPU technology will be part of MariaDB Server, and its deep functionality is complemented by outstanding ease of use.
Brytlyt announced today it is partnering with MariaDB to accelerate the adoption of its GPU storage and query processing technology
London, February 26, 2018:
Brytlyt, provider of the fastest GPU database technology in the market, according to independent benchmarking, announced today that its GPU storage and query processing technology has been integrated with MariaDB Server and is now available for preview – enabling everyone in the MariaDB community to analyze billions of rows in milliseconds using a single GPU.
In addition, Brytlyt is collaborating with MariaDB Corporation to create an enterprise analytical solution with support for multiple GPUs per node – enabling Brytlyt and MariaDB Corporation customers to support analytical workloads with the highest scalability and performance requirements, on-premise or in the cloud.
The enterprise solution will enable organizations to accelerate analytical workloads with massively parallel processing (MPP) by leveraging multiple GPUs and thousands of cores, enabling data scientists and data analysts to analyze data in real time – and by extending a general purpose database, to do it without having to learn a new API or be constrained by the limitations of a specialized platform.
Richard Heyns, CEO & Founder of Brytlyt, said, “We want to put Brytlyt technology into the hands of everyone who needs to query billions of rows and get a response in milliseconds. MariaDB Corporation, with its commitment to open source and community collaboration, gives us the opportunity to put Brytlyt technology into the hands of millions of users who can immediately benefit from the performance gains of our GPU storage and query processing technology.”
Monty Widenius, CTO of MariaDB Corporation, said, “We’ve wanted to support GPU acceleration for a while now. What interested us about Brytlyt was their aptitude for innovation and how it shows in their product. No other GPU ISV in the market has been able to replicate Brytlyt’s IP around SQL JOINs. The MariaDB community will find Brytlyt easy to use, easy to integrate and easy to scale.”
This announcement was made today at the M|18 MariaDB user conference in New York City.
About MariaDB Corporation:
MariaDB Corporation is the company behind MariaDB, the fastest-growing Open Source database. MariaDB, with a strong history of community innovation and enterprise adoption, provides the most functionally complete open source database. MariaDB powers applications at companies including Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities and more.
MariaDB solutions are engineered to run on any infrastructure – bare metal servers, virtual machines, containers, public and private clouds – and is available in all leading Linux distributions, including Ubuntu, and is the default database in openSUSE, Manjaro, Red Hat Enterprise Linux (RHEL) / CentOS / Fedora, Arch Linux, SUSE Linux Enterprise and Debian, with a reach of more than 60 million developers worldwide.
Brytlyt’s GPU database acceleration technology, with its patent-pending IP, features:
Additionally, Brytlyt now offers its own visualization tool, SpotLyt, that sits on top of the database, providing real-time interactive analytics for billion row datasets. Brytlyt is an out-the-box solution for any company looking to get immediate performance gains from their data.