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Streaming Analytics

Rapidly ingest high velocity data into Kinetica while simultaneously processing large scale queries. Your analytics are always up to date, even as you stream hundreds of thousands of messages a second while joining billions of records. Incorporate hundreds of data feeds into continuously running big data queries to generate real-time features for your machine learning models. Get up to the instant results so your organization has a complete view of operations.


Rapidly Ingest + Analyze Streaming and Batch Data in Real-Time

Rapidly load large volumes of data into Kinetica through parallelized high speed ingestion. Connect Kinetica to high velocity data streams from Apache Kafka, StreamSets, Apache Spark, Apache Storm, and others. Perform data transformation inline as data immediately goes live and analyze as fast as you can stream for high performance OLAP.

Tech Talk: How to Connect Kinetica to Confluent and Apache Kafka for Stream Processing

Analyze Streaming Data with All Your Business Context

Enhance streaming analytics with the full depth of your historical data. Update materialized views and massive continuous aggregations in real time. Join high velocity streaming data with billions of records in the moment. Perform window functions and time series analyses involving current and past values.

OVO leverages streaming data analysis to power their SmartCube Vending Machine

Utilize Streaming Data in All Your Analytics

Kinetica supports a full range of analytical techniques, including SQL, geospatial, graph analysis, time series, text search, and key-value lookup. Utilize all these approaches with up-to-the-second streaming data mixed with historical data. Improve the accuracy and the timing of your insights.

Demo: Dynamic Cyber Threat Analysis on Streaming Network Traffic

Enrich Your Streaming Analytics with Machine Learning

Run machine learning inline as your data streams in. Chain together data transformation, feature calculation and inferencing at scale. Utilize Kinetica’s performance at scale to deploy high velocity machine learning models for a new level of throughput and accuracy.

Demo: Accelerated Data Science for Botnet Detection and Enhanced Cybersecurity

Demo: Dynamic Common Operational Picture Analysis

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