In the News

"In 2023, we’ll see the data from sensors used to instrument operations truly harnessed for business value with the design pattern in observability showing the way"

"Vectorized databases are a type of distributed analytic database that uses vectorized query execution to boost performance."

"The Kinetica database executed 98 of 99 queries in our six sequential (SQL 1 through 99) testing runs and demonstrated consistent performance values with very low deviation."

"The fastest-growing kind of data this decade is real-time geospatial data. Specifically, we are talking about any data with an x and y coordinate that changes over time."

"11:20 The federal IT dashboard is getting a makeover. One reason is the availability of more data about federal IT and getting that data faster than ever."

"We took out 700 nodes of Spark and Redis, They were spending tons and tons of money on hardware and hundreds of thousands, millions of lines of Spark-Flink type code. We were able to reduce that to several thousand lines of SQL."

"Kinetica leverages the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) to vastly accelerate big data analytics and achieve greater performance on fewer nodes"

"Prior to engaging with Kinetica, such data-intensive projects involved so much time for loading the data that they couldn’t be analyzed quickly enough to deliver real-time benefits."