为什么选择 Timeplus？

Timeplus is a simple, powerful, cost-efficient stream processor.

Simple

Timeplus Proton is designed and implemented as a single binary, without any dependency, such as JVM or Kubernetes. This helps developers to easily download and setup the system, then manage and scale it easily. The Proton SQL is easy to learn and Timeplus UI is easy to use. Simplicity is in the key DNA of the product to enable more data teams to do stream processing in an easy and maintainable way.

Powerful

Timeplus为分析实时数据和历史数据提供了独特的解决办法。 正如我们的公司名称所暗示的那样，我们专门处理实时数据。 Timeplus中的每个查询都可以检测到延迟的事件，您可以选择丢弃或等待它们。 支持常用时间窗口，如固定窗口tubmle、滑动窗口hop、会话窗口session。 您可以联合查询多个流（JOIN），或者通过CSV、S3或数据库来对数据添加上下问（Enrichment）。

Timeplus is more than a stream processor. It provides end to end analytic functionalities. Timeplus supports additional data connections such as NATS and WebSocket. Timeplus提供了一个用户能够实时交互进行数据分析的网页。 提供实时可视化和仪表板。 用户也可以使用 API 与数据交互或将分析结果发送到下游数据系统，例如Apache Kafka、数据库、数据仓或数据湖。 提供警报，以便用户能够根据流式分析结果检测到的异常进行实时操作。

了解我们的密钥使用案例和功能的完整列表请访问 示例 页面。

Cost Efficient

Timeplus users don't need to setup and maintain multiple systems for Lambda-style data stack, since Proton unifies the stream processing and historical data analysis in a single system. This leads to significant cost saving.

As a stream processing, Timeplus is implemented in C++ language, leveraging vectorized data computing capability, and modern parallel processing technology Instruction/Multiple Data (SIMD). The infrastructure cost is much lower than traditional JVM-based stream processors, such as Apache Flink or ksqlDB.

Additional, since Timeplus Proton or the cloud service are strongly focused on simplicity and easy-to-use, engineers can spend less time getting started with Proton comparing to Apache Flink or ksqlDB. Also because Timeplus is easy to use, business owners don't need to hire many senior engineers to build the streaming applications.