At Timeplus, component is named after the particles, chameleon is a hypothetical scalar particle that couples to matter more weakly than gravity, postulated as a dark energy candidate.
Make stream data test easy and efficient!
Chameleon is Timeplus's open source repository for stream data test tools. These tools are targeting to make stream data related tests easy and efficient.
There are several sub-projects in this folder:
- Stream Data Generator: Generating fake json based events into different targets such as Proton, Timeplus Cloud, Apache Kafka
- Taxi/Car Data Stream: Generating live car data based on New York city yellow taxi trip data. Refer to this blog for more information
- TSBS Data Loader: Generating TSBS dataset, a Time Series Benchmark dataset
- Stream Data Loader : A performance test tool can be used to generate huge amount of stream data with different format for performance test purpose
Timeplus is a purpose-built streaming analytics platform that solves enterprises’ need for easy-to-implement real-time analytics. Timeplus adapts a streaming-first architecture to redesign real-time analytics from ingestion to action, helping enterprises analyze massive sets of streaming data faster. We provide a dynamic schema for real-time analytics, bringing unprecedented flexibility to data querying and processing. This empowers enterprises to extract substantial value from data before it goes obsolete. Timeplus is unique in its features and functionality, enabling users to make real-time analytics:
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Fast: Users can run lightning-fast analytics with ultra-low latency, while ensuring extremely high EPS (events-per-second), both with ingestion and query simultaneously. Our testing demonstrates highly compelling results: Timeplus can achieve 4 millisecond end-to-end latency, and 10 million + EPS benchmark even in a single commodity machine.
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Powerful: Users can quickly analyze real-time streaming data, while simultaneously connecting to historical data assets. We use a converged multi-tier computation engine, which reduces data redundancy while substantially lowering costs. We’ve developed powerful real-time streaming analytics that enable functionality such as windowing/non-windowing, late event, downsampling and streaming predictive analytics. All from one SQL query.
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Intuitive: Users get speed, ease-of-use, and advanced analytics functions, both in the cloud or at the edge, and can quickly act on data simultaneously as it arrives. Once various data sources are connected, users can immediately explore streaming patterns via query and visualization, and create real-time multi-channel notifications, or send insights or aggregated data to the downstream systems. Powered by ultra-low latency of streaming processing, HFR (High-Frame-Rate) charts and dashboards can automatically update at real-time, so users can say goodbye to refresh and reload, and other slow and cumbersome user experiences.
For more information, refer to :