News room

Kinetica Aims to be The Data Science Company with its GPU-Accelerated Database

Kinetica makes it possible for Machine Learning and Data Science workloads to be performed in-database and to take advantage of the GPU.
Learn More

Accelerating Analytics for the Enterprise

“AI driven analytics” addresses the needs of the enterprise’s digital business and getting access to information
Learn More

Kinetica And Nimbix Partner To Offer GPU Computing In The Cloud

No special skills needed to leverage advanced analytics from GPUs in the cloud.
Learn More

Kinetica and Nimbix Team Up to Offer GPU Computing in the Cloud for Enterprise Customers

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced its real-time analytics and visual ...
Learn More

Kinetica Releases Certified Connector for Apache Kafka

Learn More

Kinetica and 451 Research Host Webinar Revealing Power of Scalable, GPU-Accelerated, In-Memory Database Analytics

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced it will host a live webinar with 4 ...
Learn More

Kinetica Joins Growing List of Kafka Connectors

he Kafka API ensures integration between the Kafka topic stream and the Kinetica instance.
Learn More

Kinetica Releases Confluent Certified Connector for Apache Kafka

Kinetica, provider of the fastest, in-memory analytics database accelerated by GPUs, today announced it joined the Confluent ...
Learn More

Kinetica Announces Participation at Gartner Data & Analytics Summit and Strata + Hadoop World

Kinetica today announced it will showcase its distributed, in-memory database accelerated by GPUs that simultaneously ingests ...
Learn More

Big Data Product Watch : GPU Analytics

Learn More

Advanced In-Database Analytics

Learn More

Kinetica Simplifies Adoption of GPUs to Drive Advanced Apps

Kinetica is essentially challenging two pillars of the IT industry at the same time.
Learn More

Kinetica launches in-database analytics via user-defined functions

Kinetica has announced the availability of in-database analytics via user-defined functions
Learn More

Kinetica Aims to Broaden Appeal of GPU Computing

The idea behind the UDFs is to let the data scientists continue to write the code, to register the code in the Kinetca database, and then enable data analysts to call that code.
Learn More

Kinetica rolls machine learning libraries into its GPU-powered database

GPUs are sparking new interest as parallel processing engines for highly scalable database and analytics tasks.
Learn More