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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. The cost of sensors and devices capable of broadcasting their longitude and latitude as they move through time and space is falling rapidly with commensurate proliferation. By…
A data firehose, or a data stream, is a continuous, high-volume flow of data that is produced by a data source. Common data firehoses include social media feeds, financial market data, and transponder data. High volume data streams are found in a variety of use-cases, including real-time analytics, fraud detection, and event-driven architectures. Data firehoses…
Highlights Click the button below to try the latest version for free 👇🏼. Workbench is now available with all instances of Kinetica Workbench is the primary interface for interacting with Kinetica. It was initially released with Kinetica’s cloud offering and now it is available for all installations of Kinetica. It provides the following components: JDBC…
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. But speed and performance are useless if you don’t get the basics of a distributed system right. Distributed databases introduce extra challenges A database system is ‘distributed’ if its components…
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. All of these databases and applications serve specific business needs. For instance, an online retail business might…
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