Real-time data for Retail

Real-time data for

Retail

FinServ

Telecom

Logistics

From real-time events to historical archives, Streambased gives organisations a zero-copy, unified data layer that delivers fresh insights, lower cost and less complexity.

Get a demo

See how it works

One zero-copy data layer - from milliseconds to years of history.

Every organisation is becoming event-driven - operating on streams of signals, interactions, and decisions as they happen

Streambased makes those events directly queryable alongside historical context, so teams can investigate issues as they happen, run exploratory analysis, and power real-time workflows - without pipelines, copies, or delay.

Real-time Iceberg Key Use Cases

Streambased brings real-time and historical data together in one zero-copy layer - unlocking:

Customer & Journey Intelligence
Understand how behavior changes as it happens - across channels, devices, and history.

Fraud, Risk & Anomaly Investigations
Correlate live signals with historical patterns to detect suspicious behavior early.

Operational Monitoring & Root-Cause Analysis
Investigate issues in real time without waiting for pipelines, extracts, or batch reloads.

Real-Time Personalization & Recommendations
Adapt experiences in-session by responding to customer actions as they unfold.

AI / ML Feature Serving
Feed models fresh, reliable features from milliseconds of streams to years of archives.

Supply, Demand & Performance Forecasting
Combine live conditions with long-term trends to forecast and adjust faster.

Tell Us About Your Use Case

Explore Our Products

Discover how Streambased products simplify data at scale.

ISK – Iceberg Service for Kafka

Unify streaming and batch via Iceberg Views

Exposes Kafka topics as Iceberg tables in place, so teams can run dashboards, investigations, and ML/AI on real-time data as soon as it lands - without copying it anywhere.

Use for: analytics, troubleshooting, BI, feature generation, ad-hoc exploration.

Learn more

KSI – Kafka Service for Iceberg

Make Kafka a true system of record

KSI backs your Kafka clusters with Iceberg, giving you cheap, infinite retention, consistent schemas, and drift-free history - all without pipeline maintenance. Consumers can replay, hydrate state, and recover from lag at any time, with zero data loss.

Use for: replay, state hydration, lag recovery, and long-term Kafka retention.

Learn more