Kinetica Blog

Esri’s ArcGIS is renowned as a robust solution for creating, managing, and analyzing geospatial data....

GPUs have continued to rise in interest for organizations due to their unparalleled parallel processing power....

There are useful timestamp functions in SQL, Python, and other languages.  But, time series analysis is quite different....

Kinetica is a high-speed analytical database for big data. Its integration with ChatGPT allows you to havea sophisticated analytical conversation with your data in English no matter the scale....

Window functions allow us to perform calculations on a subset of rows in a table, rather than the entire table....

Time-series data usually refers to any series of data points that come with a timestamp....

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)....