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- Solace
- Real Time Data Streaming
Real-Time Data Streaming
Continuous flow of information across your systems
We design and deliver real-time data streaming using Solace, enabling information to move immediately and systems to act on it as it happens
How data moves today
Many organisations rely on a mix of batch processing, scheduled jobs and request-based integrations.
These approaches work, but they introduce gaps between when something happens and when it is reflected elsewhere.
In practice, this leads to:
Data arriving at different times across systems
Systems operating on slightly different versions of the truth
Repeated polling to check for updates
Increasing complexity as integrations grow
As data volumes increase, these patterns become harder to manage and slower to adapt.
What real-time data streaming enables
Real-time data streaming allows information to move continuously as events occur.
Data is published as it changes and made immediately available to other systems. Those systems can act on it without delay.
This supports:
Up-to-date views across the organisation
Faster operational response
Consistent use of data across systems
How it works in practice
Consider the simple example of a delivery status change in a logistics system.
The system publishes a Delivery event
Tracking systems update status immediately
Customer notifications are triggered
Operational dashboards reflect the change in real time
Each system receives the update as it happens, without needing to request it.
This ensures all systems are working from the same information at the same time.
Example: real-time data flow
Data is streamed as a sequence of events across a shared infrastructure.
Producers
Publish events when data changes
Consumers
Subscribe to the events they need and process them as they arrive
This creates a model where:
Data flows continuously rather than in batches
Systems remain loosely coupled
New consumers can be added without disrupting existing ones
Where it fits
Real-time data streaming complements existing data and integration architectures.
It works alongside:
Data platforms for storage and analytics
API layers for controlled access
Integration platforms for orchestration
Cloud services for scalable processing
Together, these enable data to move and be used as it is generated.
Where it is applied
Real-time data streaming is applied in environments where systems need immediate access to changing information.
It supports use cases where data must be shared continuously across platforms, ensuring that updates are reflected consistently and without delay.
Operational systems
Systems remain aligned as changes occur across the business
Customer experiences
Updates are reflected immediately across channels
Analytics and monitoring
Data is available for analysis as it is generated
Supply chain and logistics
Events propagate instantly across tracking and operational systems
The role of Solace
Solace provides the infrastructure to stream data reliably across distributed systems.
It enables:
Continuous event distribution
Low-latency delivery across environments
Consistent handling of data streams at scale
This supports real-time data flow across complex architectures.
The Claria approach
We design real-time data streaming around how organisations use and depend on their data.
That includes:
Identifying where real-time flow adds value
Defining how data should move across systems
Ensuring consistency and reliability in delivery
Integrating streaming into the broader architecture
This creates an architecture that supports real-time operations and remains manageable as it grows.
Our Clients
Ready to enable real-time data across your systems?
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