Comparing Timeplus Proton and ksqlDB for stream processing

A deep dive from CTO of Timeplus.

ksqlDB is great for * SQL Interface * Real-Time Streaming Processing * Integration with Kafka * Stateful Processing * Scalability * Security

However, there are also limitations with ksqlDB: * Deep Coupling with Kafka * Heavy Resource Consumption * Not Designed for Analytics * Not True Open-Source

There are lots of similarities between Proton and ksqlDB. Both support: * Stateful streaming processing * Data persistence * Stream/table concept * Dual query mode, long running, unbounded push based query and bounded, pull base query * Query Kafka data and write analytic results back to Kafka

Most features of ksqlDB can be found in Proton, while Proton offers additional benefits: * Proton demonstrates stronger performance * Proton is more flexible when consuming Kafka data * Proton is purpose designed for analytic workloads * Support complex computing by JavaScript UDF (User Defined Function) * Proton is more developer friendly

To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton) or create your own workspace on [Timeplus Cloud](https://timeplus.com).