Kinetica Blog

Real-time location intelligence is the the art of gathering, analyzing and acting on location-based data as events unfold....

Materialized views are a feature available with many databases to store the results of a frequently executed query so that the same view can be accessed repeatedly without forcing the database to re-execute the query each time....

High cardinality data can be more difficult to efficiently analyze because many unique elements increase the computational cost for analysis, and make it more challenging to identify useful insights from the data....

Streaming databases are close cousins to time-series databases (think TimescaleDB) or log databases (think Splunk)....

As sensor data, log data and streaming data continues to grow, we are seeing a significant increase in demand for tools that can do spatial and time-series analytics....

A data firehose, or a data stream, is a continuous, high-volume flow of data that is produced by a data source....

Highlights Kinetica Workbench web interface for developing and collaborating with interactive SQL workbooks JDBC ingress and egress Import and export data to/from other data sources and enterprise applications Reveal filter slice allows additional map layers to be used for filtering base layer New track SQL functions Click the button below to try the latest version for free 👇🏼....

Kinetica is one of the fastest distributed analytics databases in the world. Its vectorized compute engine can perform complex analytical tasks at scale in real-time....

A modern business relies on a variety of repositories for data. These include databases like Postgres, object stores like AWS S3, event stores like Apache Kafka, file storage solutions like Google Drive and applications like Salesforce and HubSpot....

You are in an electric car that is almost out of charge. There are several charging stations that you can stop at....