X-axis title and the data range(last 1 minute, last 1 hour, all time, etc.).You can choose a categorical column and draw a line for each unique value of the column value in different colors. Y-axis: a custom column in numeric data types (int/float/etc).X-axis: Event Time (_tp_time), or Arrival Time(when the browser gets the data point), or a custom column.We offer different chart types for your use cases: Line chart Chart Īfter you run a query, you can switch to the Visualization tab to turn the results into a chart. You can also integrate Timeplus with your external BI systems, such as Redash, Metabase, Grafana, etc. There will be more functions and other tools opening in the future, ping us if you have any comment.Īt 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.Timeplus provides out-of-box streaming charts and dashboards to visualize the real-time data and understand the pattern/trend.
#Timeplus view full
Streaming data platform benchmarking is full of challengs, Timeplus's performance test tool dataloader is ready here and can be used to generate huge amount of stream data with different format for performance test purpose, refer to dataloader for more information.
#Timeplus view update
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.Ĭhameleon is Timeplus's open source repository for stream data test tools, we are openning these code to make stream data related test easy and efficient. 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. 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. We’ve developed powerful real-time streaming analytics that enable functionality such as windowing/non-windowing, late event, downsampling and streaming predictive analytics. We use a converged multi-tier computation engine, which reduces data redundancy while substantially lowering costs. Powerful: Users can quickly analyze real-time streaming data, while simultaneously connecting to historical data assets.
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. Timeplus is unique in its features and functionality, enabling users to make real-time analytics:įast: Users can run lightning-fast analytics with ultra-low latency, while ensuring extremely high EPS (events-per-second), both with ingestion and query simultaneously. This empowers enterprises to extract substantial value from data before it goes obsolete. We provide a dynamic schema for real-time analytics, bringing unprecedented flexibility to data querying and processing. Timeplus adapts a streaming-first architecture to redesign real-time analytics from ingestion to action, helping enterprises analyze massive sets of streaming data faster. Timeplus is a purpose-built streaming analytics platform that solves enterprises’ need for easy-to-implement real-time analytics. Make stream data test easy and efficient! What is Timeplus
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