Sub-millisecond latency is achievable for time-sensitive decisioning use cases; the actual figure depends on your event volume, network topology, and how much enrichment logic sits inline with the stream, which we size during design.

Through clustered deployments with automatic failover, persistent queuing, and zero-data-loss guarantees — we design the clustering topology around your actual uptime requirements rather than a one-size-fits-all default.

Yes, through Hadoop, Spark, and embedded AI services that enable text analytics on unstructured sources such as call transcripts, support tickets, and sensor logs.

Petabyte-scale with the correct architecture; individual processing nodes comfortably handle terabyte-level throughput, and we size the cluster topology against your specific volume and growth projections.

Through an encrypted key management service with full audit logging and role-based access control, aligned to your existing enterprise secrets-management standard.