In today’s world of big data and real-time analytics, visualisation tools struggle to meet the demands of customers who want to unlock the full potential of their data. This is forcing data analysts to compromise for their visualisation tool to perform well. At Brytlyt we don’t believe in compromise, we believe in finding solutions. Our solution is called SpotLyt.
After discovering that many commercially available products couldn’t keep up with the speed of our GPU database, we realised they we had to build our own visualisation tool. SpotLyt was born, a next-generation visualisation workbench, and you don’t even need to use it with GPU acceleration to see the benefits.
Richard Heyns, CEO and Founder of Brytlyt, says “Customers are finding their visualisation tools respond slowly if their data is big or complex. We decided to build a tool that works for you, not the other way around. Keep your massive dataset, fill the dashboard with all the charts you desire and have as many complex joins and queries as you please. SpotLyt has been fine-tuned and optimised so our users have an incredibly responsive experience, that no other vendors can match.”
Brytlyt’s uncompromising approach is rapidly gaining traction with customers who are adopting SpotLyt as their go-to analytics tool. Highlights of SpotLyt’s capabilities are:
Beautiful charting
Dashboards and worksheets allow users to see all their charts together. There is powerful geospatial mapping that is tightly integrated with aggregated information, shown in bar charts, line charts, heat maps and much more.
Full SQL editor
SpotLyt has a very powerful SQL editor to interact with Brytlyt’s PostgreSQL database. Users can write stored procedures, navigate database objects, create views and tables and managed the database instance.
Jupyter Notebooks
SpotLyt is directly integrated into Jupyter notebook. Jupyter notebooks are used to write and execute python and other code directly from the browser.
Interactive geospatial analytics
In contrast to other vendors, in SpotLyt rendering of mapping tiles is done by GPU on the database. As a result, SpotLyt can do exciting things with maps, which has massive appeal to sectors such as telcos, retail, oil & gas, logistics and location-based advertising.
Front-end scripting
Small coding snippets create controls and capture user behavior and events to dynamically change what is displayed on dashboards.
Back-end scripting
SpotLyt uses stored procedures, giving significant flexibility on the database side and enables users to dynamically work with the data.
About Brytlyt
Brytlyt is a young and dynamic company with a clear mission – to empower organisations through transformational data analytics. At the heart of achieving this is delivering “Speed of Thought Analytics”.
By using Graphics Processing Unit (GPU) and patent-pending algorithms, their data processing engine is over 1,000 times faster than alternative technology. Brytlyt’s technology been independently benchmarked as the fastest GPU database by Mark Litwintschik in his blog.
Using Brytlyt massively improves time-to-value for data analysts, supporting agile data-driven decision making, based on accurate analysis of the most recent data. Decision makers are empowered, building greater situational awareness and insight that can be easily shared with their peers.
Brytlyt are the only GPU database to cope with high-speed joins without affecting performance. The founder, Richard Heyns, has come from a retail analytics background, building Brytlyt from scratch to overcome the long query times experienced in big data analytics. The result is a database that returns queries instantly, with a visualisation tool, that keeps up with the pace.
Already making waves in the Telco space, providing real-time analytics on network quality and customer satisfaction in partnership with P3, Brytlyt’s journey is just beginning.
Winner Interop Tech Start-up 2015
Winner O’Reilly Strata + Hadoop Start-up Showcase 2015
Finalist NVIDIA Early Stage Challenge 2014
Disruptive Innovation award, TM Forum Excellence Awards 2018
