5/30/2023 0 Comments Timeplus finger![]() ![]() ![]() By connecting Timeplus with Pulsar, the real-time data from IoT sensors can be easily processed with sub-second latency. It supports multiple messaging protocols, including MQTT, AMQP, and JMS. Pulsar is cloud-native and can run in any cloud, on-premises, or Kubernetes environment. Internet-of-Things (IoT): The explosive growth of connected remote devices is posing challenges for the centralized computing paradigm. With Pulsar as a new supported source and sink in Timeplus, your data engineering team can use Timeplus as the tool to transform data among Pulsar topics, or migrate data from one message bus to another. In the Timeplus web UI, you can write ad-hoc streaming SQL, and get results in the next second, creating a seamless, fast experience.įull SQL-based routing/transformation/alerting. For example, writing a new hopping window analytics app with FlinkSQL may take upwards of 1-2 minutes while the Flink job submits and waits to return results. With Timeplus, a similar analytics workload can be implemented using just one-tenth of the time and cost. ![]() Flink can be a powerful and flexible tool however, when building real-time analytics applications, it’s oftentimes not easy to integrate Pulsar and Flink. Your data team can use the Timeplus web UI to quickly load data from Pulsar to Timeplus, then use the purpose-built streaming tables and charts in Timeplus to view live data and understand their patterns. No need to write Java code to connect to the Pulsar clusters or use command line interface to print the raw messages. ![]()
0 Comments
Leave a Reply. |