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Real-Time
Fresh Data and Fast Queries
Real-Time Analytics is the future
The value of data diminishes over time. A real-time era dawns. The data industry is going from batch reporting to real-time dashboards, from pre-defined reports to ad-hoc queries, from staff-facing to customer-facing analytics, and from decision support to AI-driven decision-making.
Data latency and query latency are the two major indicators of real-time analytics. Data ingestion and storage in real time ensures data freshness, and fast response to high-concurrency data queries maximizes the value of data.
Key capabilities
Two modes of data ingestion: pull or push
- Push-based data ingestion within seconds
- Change Data Capture (CDC) from databases within seconds
- Streaming data ingestion from data streams
- Batch and incremental ingestion from data lakes
Various real-time data models and light schema change
- Unique key model: real-time upserts (merge-on-write or merge-on-read)
- Duplicate key model: real-time append
- Aggregate key model: real-time append
- Light schema change: add or delete columns easily within seconds
