Kinetica Blog

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....

Kinetica recently held a webinar to share how a GPU database stands to help enterprises capture, analyze, and act on data in real time....

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 real-time data streams from Apache Kafka and take immediate action on incoming data....

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....

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....

You have questions. We have answers! As we pave a new market for hardware-accelerated databases, we’re frequently running into the same questions with eager-to-learn prospects and researchers....

Kinetica’s recent webinar with NVIDIA discussed using GPUs to efficiently and quickly ingest, explore, and visualize streaming datasets in new commercial use cases....

Kinetica was built from the ground up with a native REST API, enabling both SQL-92 query capability and a wide variety of open source connectors and APIs....

How do you uncover security threats from billions of different signals when time is of the essence?...

Companies are facing some significant challenges when it comes to simplifying their streaming architectures....