SERVICESDATA ANALYTICSREAL-TIME / STREAMING ANALYTICS
Data Analytics

Real-Time / Streaming Analytics

Sub-second analytics on live event streams using column-store engines and streaming ingestion pipelines.

01 // THE APPROACH

What you receive

XIYOR does not deliver generic implementations. Every Real-Time / Streaming Analytics engagement is scoped, architected, and delivered specifically around your business constraints, technical environment, and growth requirements.

Sub-second analytics on live event streams using column-store engines and streaming ingestion pipelines. We take full responsibility for quality, performance, and security from design through to production deployment.

  • Production-ready deliverables with zero bloat
  • Clean, documented codebase — 100% owned by you
  • Architecture designed for your scale requirements
  • Security-first implementation across every layer
  • Post-launch knowledge transfer and documentation
02 // TECHNOLOGY STACK

Tools & Technologies

Apache KafkaClickHouseApache FlinkWebSocketsPostgreSQL
03 // EXECUTION PROCESS

Three-Stage Protocol

STEP 01

Discovery & Scoping

We audit your current setup, define exact deliverables, and produce a technical execution brief within 48 hours.

STEP 02

Engineering & Build

Our core engineers build your solution from first principles — clean code, documented, and tested to production standards.

STEP 03

Handover & Support

Full codebase, documentation, and IP transfer to your team. Optional retained support and monitoring available.

04 // RELATED SERVICES

Also under Data Analytics

Start your Real-Time / Streaming Analytics project

Submit your project requirements and receive a tailored technical brief within 4 hours.

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