top of page

Introducing Timeplus built-in support for Redpanda Serverless. See our guide

bg dots 2_edited.png

Timeplus is a simple, powerful, and cost-efficient stream processing platform.

Do more with Apache Kafka. Eliminate Apache Flink complexity.
All in a single binary, easily deployed anywhere.

Stuck with for-loop querying?
We've got your back.

Trusted by teams building and scaling analytics applications:

Why Timeplus?

We help data teams process streaming and historical data quickly and intuitively, in organizations of all sizes and industries.

simple - web.png

Simple

Lightweight, single binary, without dependencies

powerful - web.png

Powerful

End-to-end analytic streaming and historical functionalities

cost-efficient - web.png

Cost-Efficient

1/10 the cost of similar open source frameworks

Tackle use cases where real-time analytics make all the difference.

FinTech

Turn real-time market and transaction data into real-time insights. Leverage append-only streams and key-value streams to monitor financial data.

Learn more --> 

Group 21.png
Group 315.png

AI and Machine Learning

Implement real-time feature pipelines using Timeplus.

Learn more --> 

Metrics and Observability

One platform for all infrastructure logs, metrics, and traces, the three pillars supporting observability.

Learn more --> 

Group 316.png
aurora 耀乘_edited.png

80%

Reduction in hardware resources

BACKGROUND CIRCLE HOME.png

"We are delighted to have integrated Timeplus into our data infrastructure at Aurora, replacing our previous Flink clusters while utilizing just a fraction of the hardware resources, a reduction of nearly 80%.

With Timeplus, we have significantly improved the analytical capabilities of AuroraPrime, reducing the turnaround time for user-facing reports and dashboards.

Eric Guo
DevOps Director, Aurora

Integrate with

Try Timeplus Cloud
for Free.

Get started with a 14-day free trial.
No credit card required.

Looking for open source?

Timeplus Proton is the open-source core engine of Timeplus, with powerful streaming SQL functionalities enabling developers to solve streaming data processing challenges.

Try it yourself:
Visit the Timeplus Proton GitHub repository for our installation guide.