What's New
Go to:We’re thrilled to announce that we have partnered with Safe Software to create FME connectors that make it possible for you to easily read and write data from Kinetica into and out of FME workspaces. If you’re a current FME customer, this means you can now move your Esri data into Kinetica so that you…
Kinetica recently held a webinar to share how a GPU database stands to help enterprises capture, analyze, and act on data in real time. Jim Curtis, Senior Analyst for 451 Research, and Kinetica’s Manan Goel, VP of Products, detailed how GPUs are enabling new commercial and consumer applications in databases, artificial intelligence, and real-time analytics.…
This post has been republished from the one that originally appeared on Confluent We’re excited to announce that we have joined the Confluent Partner Program and completed development and certification of our Apache KafkaTM Connector, which lets you read and write data directly between Kafka and Kinetica’s GPU-Accelerated, In-Memory Analytics Database so you can ingest…
Here at Kinetica, we are excited to partner with NVIDIA to drive innovation around the next big step in the evolution of big data–a trend that is garnering a huge amount of industry attention: GPU-accelerated analytics. Kinetica can perform brute-force processing on large, complex, and streaming datasets for true real-time analytics as a result of…
With Version 6.0, Kinetica introduces user-defined functions (UDFs), enabling GPU-accelerated data science logic to power advanced business analytics, on a single database platform. User-defined functions (UDFs) enable compute as well as data-processing, within the database. Such ‘in-database processing’ is available on several high-end databases such as Oracle, Teradata, Vertica and others, but this is the…
In the press
