Real-Time Analytics Database: Custom Engine Use Cases
5 min read
Real-time analytics — dashboards, event streams, rolling aggregates — often hit limits with generic databases. A custom in-memory engine can do windowed aggregation and low-latency serving for the hot slice of data.
- IoT and ops: Sensor streams, rolling min/max/avg, alert thresholds. In-memory windows so queries do not hit disk.
- Ad tech: Impression and click counters, budget pacing. Sub-second updates and reads.
- Trading: Order flow, position aggregates. Latency is critical.
Structures for time-windowed data, in-place updates, and queries that do not scan the whole dataset. Tuned for your retention and query pattern so latency stays low as volume grows.
At Hendoi we build custom database engines for real-time analytics and event workloads. USA, Canada, Bengaluru. Contact us.
📞 +91-9677261485 | 📧 support@hendoi.in | Contact us
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