Data Streaming & Real-time Analytics

Turn your data stream into actionable insights.

Many organizations struggle to meet the demands of modern users and operations with outdated, batch-based analytics. Real-time responsiveness is now essential for delivering seamless customer experiences, powering AI-driven features, and enabling continuous operational insight.

Xebia helps you meet this challenge with end-to-end data streaming expertise—from designing resilient Flink and Kafka-based platforms to building advanced stream-processing solutions. Our scalable, governed architectures ensure real-time insights, operational efficiency, and seamless integration across your ecosystem.


Our Expertise

What We Do

Flink Engineering Services

Build real-time solutions with our Apache Flink expertise, driving actionable insights and 24/7 operational efficiency.

Data Streaming Platform

Accelerate your journey with a scalable, impact-driven Flink and Kafka solution tailored to your unique needs. 

End-to-End Data Streaming Enablement

From strategy to delivery, we ensure a seamless transition to real-time data streaming architectures for long-term success. 

Comprehensive Data Engineering

Transform your data ecosystem with our expertise in building robust, scalable, and resilient data-driven architectures.

Our Approach

Discover and Align

Identify key business needs and align data streaming opportunities to enable real-time insights, 24/7 operations, and instant responsiveness.

1

Enhanced Customer Experiences

You can power responsive and personalized customer-facing features and applications only with data streaming.

2

Run a Proof of Concept Together

To validate the potential and applicability of data streaming, we can jointly run a necessary proof of concept of architecture, technology choices, and use case. This phase also helps refine specific project requirements.

3

MVP and First Use Cases Implementation

Deliver a Minimum Viable Product (MVP) and initial use cases through an iterative approach, with built-in knowledge transfer, tech migration, and change management.

4

Scale and Enable

Extend data streaming capabilities across the organization with a full solution handover, staff enablement, and hypercare support.

5

Optional Managed Services

Ensure continued success with optional managed services for maintenance, monitoring, and ongoing optimization.

6

Key Benefits

Increased operational efficiency

The process starts with assessing current needs and objectives. The potential of data streaming is demonstrated within the organization, followed by the identification and refinement of use cases and their associated business value.

Tailor Platform Design

Get a streaming platform purpose-built for your organization - aligned with your existing tech landscape and optimized for high-impact use cases.

Enhanced customer experiences

Data streaming powers responsive and personalized features and applications that enhance customer experiences.  

Enabled AI applications

Leveraging artificial intelligence effectively requires real-time information. Data streaming plays a key role in providing this information. 





Contact

Let’s discuss how we can support your journey.