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Timeplus
StreamNative and Timeplus deliver real-time streaming SQL analytics with native Pulsar integration. Timeplus connects directly to Kafka and Pulsar topics managed by StreamNative, enabling teams to write SQL queries that process data in motion — claiming up to 1/10th the cost of traditional stream processors like Apache Flink.
Native Pulsar Support
Timeplus provides native Apache Pulsar integration as both a source and sink, enabling:
- Streaming SQL on live Pulsar topics without building custom consumers
- Materialized views that update continuously as new events arrive
- Streaming joins across multiple topics and historical data
SQL-First Analytics
With familiar SQL syntax, analysts and engineers can query live streams without learning new frameworks:
- Simple aggregations and windowed analytics on streaming data
- Complex multi-stream joins with temporal awareness
- Real-time dashboards that reflect data as it arrives
Cost-Effective Processing
Timeplus's architecture is designed for lightweight, cost-effective stream processing. By avoiding the overhead of distributed shuffle operations for common analytics patterns, it delivers significantly lower resource consumption compared to general-purpose stream processors.
StreamNative and Timeplus deliver real-time streaming SQL analytics with native Pulsar integration. Timeplus connects directly to Kafka and Pulsar topics managed by StreamNative, enabling teams to write SQL queries that process data in motion — claiming up to 1/10th the cost of traditional stream processors like Apache Flink.
Native Pulsar Support
Timeplus provides native Apache Pulsar integration as both a source and sink, enabling:
- Streaming SQL on live Pulsar topics without building custom consumers
- Materialized views that update continuously as new events arrive
- Streaming joins across multiple topics and historical data
SQL-First Analytics
With familiar SQL syntax, analysts and engineers can query live streams without learning new frameworks:
- Simple aggregations and windowed analytics on streaming data
- Complex multi-stream joins with temporal awareness
- Real-time dashboards that reflect data as it arrives
Cost-Effective Processing
Timeplus's architecture is designed for lightweight, cost-effective stream processing. By avoiding the overhead of distributed shuffle operations for common analytics patterns, it delivers significantly lower resource consumption compared to general-purpose stream processors.
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