Digital Transformation and Enterprise Streaming Analytics

As digital transformation accelerates across industries, more and more companies are recognising the untapped value in their real-time data streams. Enterprise streaming analytics firm Streambased aims to help organisations extract impactful business insights from these continuous flows of operational event data.

Streambased Overview

• Streambased is an enterprise streaming analytics firm enabling advanced analytics on streaming data.
• Streambased’s offering is based on the open-source event streaming platform Apache Kafka.
• Proprietary acceleration technology is added on top of Kafka to make the platform suitable for complex analytical workloads.
• Streambased ensures its analytical capabilities have access to up-to-date, clean and well-organised data from existing Kafka data pipelines.

Use Cases and Impact

Streambased’s approach includes the optimization of analytical interactivity enabling users to rapidly gather contextual insights without disrupting their workflow. Use cases that showcase this power include fraud detection in financial services. If an anomalous transaction occurs, analysts can quickly query similar or related transactions to investigate – which would be difficult and inefficient to accomplish with a pure streaming architecture. The convergence of operational and analytical data platforms represents an impactful trend that Streambased calls the “streaming data lake” movement.

Future Trends and Scott’s Perspective

• Scott believes we are at the beginning of the streaming data lake movement where operational and analytical data platforms are converging.
• Recent enhancements like infinite data retention in Kafka and native streaming analytics services lay the foundation for this new paradigm.
• Streambased remains focused on empowering business analysts through frictionless self-service access to granular real-time data, without requiring changes to existing tools and processes.