Everything you need, to move data at scale

Real-time streaming data scenarios with multiple ingestion points

Sophisticated data-treatment and non-stop operation

Multi-faceted data integration scenarios which require fast and reliable connectivity to a variety of real-time and non-real-time data sources and sinks.

Deployment in sophisticated distributed environments.

Typical for edge-computing setups where computing needs to be autonomous and spread over geographies.

Typical complex-message-processing scenarios which require utmost flexibility, scalability and adaptability.

Transform data from one shape into another.

Apply any sort of data enrichment, filtering and routing. Feed into any target.

Typical data mediation scenarios.

Involving elements of data transformation, multi-connectivity, complex custom data formats, massive data volumes.

Traditional batch processing, but in a cloud-native architecture and at much larger scale than possible with legacy systems.

Establishment of a corporate API layer which acts as the single gateway from/to systems internal and external to the business.

Big data loading and transformation routines for small to very large and complex scenarios.

Filtering data from streams based on custom filtering rules.

Feeding systems data from any data-source in real-time for the purpose of systems-monitoring.

The use cases for layline.io in its field of expertise are virtually endless. Any industry which is already highly digitized or is undergoing digital transformation likely requires layline.io. What's your use case?