Other enterprise database providers cannot exploit the physical hardware advantage provided by a GPU which means that they can cost 10x as much and perform about 1/100th as well as Kinetica.
Kinetica is currently solving some of the most challenging Big Data problems across a variety of industries, and is used by a wide range of organizations to help them meet and exceed their business demands. Analytics on large and complex data sets, where speed and flexibility are paramount, is where Kinetica fits best.
Kinetica is honored to be working with USPS, INSCOM, PG&E and IronNet. Using the power of thousands of processing cores, we are able to crush the competition when it comes to in-memory data analysis. When you consider the fact that Kinetica has a built in visualization pipeline, it becomes easy to see the ways Kinetica can save you money. Check out our white papers to learn more about our location visualization features and how we compare to old fashioned database engines like Oracle TimesTen and SAP HANA.
With the power of many core GPU-based servers, Kinetica delivers exceptional performance improvements for real-time analysis of massive data sets, particularly for geospatial and temporal use cases. GPUs, originally developed to render 3D graphics in devices like mobile phones and game consoles, benefit from a highly parallel architecture which makes them more efficient than general-purpose CPUs. The Kinetica database was designed from the ground up around parallelism, relying on patented technology (Patent US8373710 B1) to repurpose GPUs so the platform can crunch numbers for complicated analytics and database operations with dramatic speed and simplicity. Instead of hours or minutes, advanced analytical queries can be visualized in milliseconds. In addition, the fully integrated visualization engine display changes in real -time as the underlying data changes, making it an ideal solution for data discovery projects. Data in Kinetica is replicated across machines in real time, making it highly available and fault tolerant. And it does this at about one tenth the cost of traditional databases.
Kinetica can be used as a standalone high performance analytical platform for both real-time and historical data, or as a complementary real-time analytics engine within a Hadoop or traditional RDBMS environment. Kinetica can be deployed on premise or in leading cloud environments (Amazon Web Services, or AWS, and Microsoft Azure).
At Kinetica we are passionate about helping companies run their businesses smarter and drive profit by turning data into value at unprecedented speeds. We do this by offering a GPU accelerated in-memory distributed database solution that can ingest streams, process transactions, and perform analytics simultaneously, built from the ground up to offer the highest performance and scalability for in-memory analytics.
Kinetica applies an innovative, patented new concept in database design that puts emphasis on leveraging the growing trend of many-core devices (e.g. GPUs). Developers using the Kinetica API interact with the database using traditional RDBMS idioms; developers also query Kinetica like they would a traditional database with operations like select, group by, and join. Kinetica can be used through its native API or its ODBC connector.
Kinetica makes it simple to benefit from high performance in-memory database technology with an easy migration path, an easy installation process, and a solution that is future-proof. Kinetica brings a fresh, new approach to data analytics by offering the right solution that meets your needs and can be ordered and implemented within days, along with unmatched know-how to help you make the most from data – quickly, affordably, and with ease. Kinetica is the only GPU accelerated in-memory distributed database solution that is designed to scale from commodity hardware and co-exists with your infrastructure.