Batch analytics tells you what happened yesterday. Real-time analytics tells you what is happening now — enabling operational responses, live dashboards, and streaming AI acting on events as they occur.
Kafka, Flink, and Spark Streaming architectures for exactly-once processing, low latency, and high throughput across any event volume.
Live operational dashboards refreshing in sub-second intervals — powered by streaming aggregations on Apache Druid, ClickHouse, or Apache Pinot.
InfluxDB, TimescaleDB, and QuestDB for high-frequency IoT sensor data, financial tick data, and operational metrics at scale.
Kafka-based event-driven architectures decoupling services — scalable, resilient systems reacting to business events in real time.
ML model inference on streaming events — real-time fraud scoring, personalization, and anomaly detection at millisecond latency.
Pipeline SLA monitoring ensuring real-time data meets freshness commitments — automated remediation and business impact quantification for delays.
Our specialists will design a tailored solution for your organization.