Real-time Analytics


Real-time streaming analytics of events that are generated from various sources which include but are not limited to sensors, IoT devices, and websites are critical since the need of timely reports to improve responsiveness has become a high priority in the world today. Massive, unbounded datasets are becoming the norm, therefore, with streaming pipelines, we are not able to provide value, decipher the transaction and refine the user experience at real-time.

Arcogent's advisory team are experts when it comes to Streaming Analytics, be it with technologies such as Splunk, Spark Streaming, Apache Flink, Apache Kafka, and many more which allows Arcogent to provide the right solution and architecture that would meet the increasing demands of real-time analytics while keeping in mind of your existing infrastructure and investment.

Featured Real-time Analytics Solutions


Leading platform for Operational Intelligence, making machine data accessible, usable and valuable to everyone.

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IBM® InfoSphere® Streams

IBM InfoSphere Streams offers a complete stream computing solution to enable real-time analytic processing of data in motion.

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Apache Kudu

Kudu is Hadoop-native storage for fast analytics on fast data.


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