![]() ![]() Compared to custom code with Spark/Flink, we calculated the development effort using Timeplus saves you 10x your developer time/cost. Within a few milliseconds, they are filtered and aggregated, and then trigger webhooks in real time. With Timeplus, data can be directly pushed to Timeplus without extra message buses. In this blog, I walked you through three steps to build a real-time security app with minimal custom code.Without Timeplus, such low-latency real-time solutions usually require a complex data infrastructure with Apache Kafka, Apache Flink or Apache Spark, with lots of servers and custom micro-services.
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