Timeplus Enterprise Edition delivers a powerful platform that makes real-time data work easier through intuitive tools and features. Timeplus lets you build data solutions quickly through a single SQL-based engine that merges historical and streaming data processing. No matter where you work with Timeplus, you avoid expensive setups while accessing immediate data insights.
Timeplus connects directly with Apache Kafka, Pulsar, Redpanda, ClickHouse, and other systems to handle real-time data processing without complications. Users can run real-time data analysis with SQL in Timeplus to get instant results, which can power alerts, create dashboard insights, or feed into other systems. Timeplus enables prompt decision-making through its expert analytics and visualization support and works with Grafana, Slack, and PagerDuty to send important alerts.
Timeplus Enterprise Edition delivers a scalable platform through its single-binary design that works perfectly with bare-metal systems or Kubernetes environments. Timeplus Enterprise Edition lets you join data in multiple ways and link records based on their closest match. You can write custom workflows using Python and JavaScript to analyze your business data directly. Timeplus lets you connect to various services without extra equipment and simplifies your data system design.
Key Features of Timeplus Enterprise Edition :
- Unified Architecture: Combines streaming and historical data processing in a single engine for simplicity and efficiency.
- Real-Time Data Collection: Supports native integration with Kafka, Redpanda, Pulsar, ClickHouse, and more without data duplication.
- Data Transformation: Enables SQL-based transformations, aggregations, and joins for real-time analytics.
- Data Routing: Routes data to multiple sinks using SQL-based criteria with clear data lineage visualization.
- Analytics and Alerting: Provides low-latency dashboards and integrates with alert systems like PagerDuty and Slack.
- Scalable and Lightweight: Operates with a single binary, running seamlessly on edge devices or Kubernetes clusters.
- Advanced Query Capabilities: Offers Multi-JOINs, ASOF JOINs, and direct BI querying to simplify data workflows.
- UDF Support: Allows Python and JavaScript UDFs for custom logic and integration with machine learning libraries.
- Seamless Integration: Features EXTERNAL STREAM and TABLE for native Kafka/ClickHouse connectivity and a flexible connector for other systems.
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