Visualize Big Data in Real-Time
Billion-Row Data Sub-Second Response
In-memory caching and distributed query engine provide sub-second response even on PB-scale data. Optimized for big data visualization of IoT sensor data, log analysis, and financial tick data.
Core Values
Ultra-Fast Queries
Sub-second (< 1 sec) response for billion+ row data. Analyze without waiting using column store and advanced caching.
Real-Time Streaming
Collect and visualize data in real-time from Kafka, Kinesis, etc. Monitor IoT, log, and financial data in real-time.
Unlimited Scaling
Performance maintained as data grows. Auto-scaling provides same experience from GB to PB.
Interactive Exploration
Explore data freely with drilldown, filter, zoom. Dive into detail data with one click.
Key Features
Column-Based Query Engine
Ultra-fast processing with column store engine optimized for analytical queries.
- Column store: Read only needed columns, minimize I/O
- Vector processing: Batch ops with SIMD
- Auto query plan optimization
Intelligent Caching
Auto-cache frequently used query results for faster response.
- Result cache, aggregation cache, tile cache
- Smart invalidation on data change
- L1 in-memory to L3 distributed cache
Real-Time Stream Processing
Collect and visualize real-time data from Kafka, Kinesis, Pulsar, etc.
- Window aggregation (Tumbling, Sliding, Session)
- Real-time filtering, stream join
- 1-second interval real-time charts
Geospatial Visualization
Display location-based data on maps: heatmaps, clusters, paths.
- Point map, heatmap, cluster map, path map
- Render millions of points
- Spatial queries (radius search, within polygon)
Time-Series Analysis
Specialized time-series features: trends, anomaly detection, forecasting.
- Resampling, moving average, trend analysis
- Anomaly detection: auto-detect statistical outliers
- Forecasting: ARIMA, Prophet-based
Large-Scale Scatter (WebGL)
Smoothly render scatter plots with millions of points using WebGL.
- Instant render 1M points
- Zoom/pan, brushing, hover details
- Density-based color, size encoding
Use Cases
IoT Monitoring
Visualize real-time data from tens of thousands of sensors. Monitor temperature, humidity, pressure in real-time with anomaly alerts.
Log Analysis
Explore billions of server/application logs. Analyze error patterns, detect performance bottlenecks, investigate security events.
Financial Data
Analyze high-frequency trading data, tick data at millisecond level. Risk analysis, algorithm performance monitoring.
AdTech
Analyze billions of ad impressions and click events. Real-time campaign performance, fraud detection, optimization insights.
Technical Specifications
Start Big Data Visualization
Analyze billion-row data with sub-second response.