Streaming analytics platforms can ingest, analyse, and act on real-time streaming data coming from various sources so you can take immediate action while the events are still happening.
The difference between streaming analytics and traditional analytics lies in the moment when data gets analysed. Traditional analytics first stores the data and then analyse sit for deriving insights. Traditional analytics is also mainly applied to data at rest.
In streaming analytics, we analyse the data first, while the events are still happening, and then store the relevant data for batch analysis. This allows streaming analytics platforms to handle the scale and constant flow of information and deliver continuous insights to users across the organisation