Data from sensors and machines is inherently geospatial and time series in nature. Equip your business to harness this data and create value with this set of capabilities from Kinetica:
Originally developed for the U.S. intelligence community, Kinetica’s advanced capabilities across time and space have supported the most complex IoT use cases in the world, including for the Defense Department, two of the top three telcos, a top three retailer, and more. Now, for the first time, these capabilities are available to companies of all sizes as a service in the cloud.
Instead of performing multiple tasks in parallel, like in threading parallelism, vectorized processing operates in parallel at the data level, performing the same operation on different sets of data at once. By combining threading and vectorized parallelism, Kinetica achieves exponentially faster processing. The result is better performance on lighter infrastructure with the capacity to analyze spatial relationships over time and execute analysis and decisioning in real time.
Kinetica abstracts CUDA from NVIDIA and AVX 512 from Intel for vectorized parallelization across GPUs or CPUs.
Kinetica is trusted across government, defense, telecommunications, financial services, logistics, and more. Kinetica helps to identify national security threats in real time, model complex disaster risks, proactively predict cyber threats, accelerate the rollout of 5G, enable dynamic supply chains, and beyond.