Introducing Pulsar Integration in Timeplus

Pulsar Summit SF 2022 is coming up this week, and we are excited to be a General Session Sponsor at this event! Apache® Pulsar™ is a cloud-native, distributed, open-source messaging and streaming platform for real-time workloads. We look forward to meeting you at the Summit and exploring real-time data streaming.


We are thrilled to announce that Timeplus now provides out-of-box integration with Apache Pulsar and StreamNative Cloud, both as a data source and a data sink.

Why Timeplus + Pulsar ?


For data teams who are using Apache Pulsar or StreamNative Cloud, choosing Timeplus Cloud makes exploring real-time data in Pulsar easy and intuitive:

  • Rich web UI. No need to write Java code to connect to the Pulsar clusters or use command line interface to print the raw messages. 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.

  • Powerful streaming analytics with SQL. 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. With Timeplus, a similar analytics workload can be implemented using just one-tenth of the time and cost. 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. In the Timeplus web UI, you can write ad-hoc streaming SQL, and get results in the next second, creating a seamless, fast experience.

  • Full SQL-based routing/transformation/alerting. 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.


Additional use cases for the Timeplus and Pulsar integration:

  • Internet-of-Things (IoT): ​​The explosive growth of connected remote devices is posing challenges for the centralized computing paradigm. Pulsar is cloud-native and can run in any cloud, on-premises, or Kubernetes environment. It supports multiple messaging protocols, including MQTT, AMQP, and JMS. By connecting Timeplus with Pulsar, the real-time data from IoT sensors can be easily processed with sub-second latency. Real-time visibility can be provided to the internal/external users to improve operational efficiency or customer satisfaction.

  • Application monitoring and observability. With Pulsar’s built-in multi-tenant support, tier-storage, and the separation of computing and storage, it’s one of the most common tools to consolidate logs/metrics/tracing from various IT systems and applications. Timeplus provides a unified storage and processing engine for both historical and real-time data. With our high performance, low latency, and purpose-built streaming charts and alerts, your IT infrastructure team can gain real-time observability with much lower complexity and cost-of-ownership.


Check out the new Pulsar integration in Timeplus in our source wizard below. For more technical details, please check our documentation: https://docs.timeplus.com/docs/ingestion#pulsar


Here’s how you can load your Pulsar data into Timeplus:


You can also send data from Timeplus to Pulsar:



Want to learn how Timeplus can help you get powerful real-time insights with minimal set-up time? Join our Timeplus Community Slack, or sign up for early access to the Timeplus Cloud on our website.

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