Build reactive data pipelines with a visual workflow designer. No infrastructure code, no vendor lock-in—just fast, reliable data processing at scale.

Building data pipelines shouldn't require a PhD in distributed systems. Yet most data engineers spend 80% of their time wrestling with infrastructure instead of solving business problems.
Managing Kafka clusters, Kubernetes deployments, and custom monitoring across multiple environments. Your team needs a DevOps engineer just to keep the lights on.
Cloud-specific services that work great in demos but trap you in proprietary ecosystems. Migrating becomes a six-figure project.
Weeks or months to deploy a simple transformation pipeline. By the time it's live, business requirements have changed twice.
When pipelines fail at 3 AM, you're diving into log aggregation systems across distributed services. Finding root causes is like digital archaeology.
What handles 1M events handles 10M events very differently. Rewriting your entire pipeline architecture every time you grow.
Business analysts can't understand your Kafka configurations. Data scientists can't deploy their models. Everyone works in silos.
You became a data engineer to build intelligence into business processes, not to become a full-time site reliability engineer. There's a better way.
See The SolutionBuild data pipelines by connecting blocks, not writing YAML. Watch your data flow in real-time with built-in monitoring and error handling.
Visual pipeline creation with configurable processors. No coding required—just connect the dots.
Live metrics, error tracking, and performance insights. See exactly what's happening in your pipeline.
Runs on your infrastructure or ours. Auto-scaling, high availability, and maintenance-free operation.

Stop fighting infrastructure. Start building solutions that matter.
Skip months of infrastructure setup. Our visual designer lets you build production pipelines faster than writing a Kafka consumer.
Built-in monitoring, automatic retries, and dead letter handling. Your pipelines self-heal while you focus on business logic.
From prototype to production scale. Handle traffic spikes without rewriting code or provisioning servers.
Stop wrestling with infrastructure. Focus on what actually moves your business forward.
"Finally, a data platform that just works."
Real solutions from real data engineering teams across industries
E-commerce company processes 50,000+ events per second from web clicks, purchases, and inventory changes to power live dashboards and personalization engines.
Common questions about implementing real-time data processing with layline.io.
Most data engineers have layline.io processing their first data streams within 10 minutes. Our visual pipeline builder and pre-built connectors eliminate weeks of custom development work.
layline.io connects to databases, REST APIs, message queues (Kafka, SQS), file systems, streaming platforms, and custom protocols. It handles JSON, XML, ASCII, Binary, ASN.1, HTTP, and more through visual configuration.
layline.io is built for enterprise scale, processing millions of events per second with horizontal scaling. Our distributed architecture ensures consistent performance even during traffic spikes, with built-in backpressure handling.
Yes, layline.io integrates seamlessly with your current stack. Deploy on-premise, in any cloud, or hybrid. Works with your existing databases, data lakes, warehouses, and analytics tools without requiring architectural changes.
We provide 24/7 technical support, comprehensive documentation, video tutorials, and hands-on onboarding sessions. Our team of data engineering experts helps you optimize your pipelines for maximum performance.
layline.io pricing scales with your usage. Pay only for what you process, with predictable pricing that grows with your business. Enterprise plans include dedicated support and custom SLAs.
Download layline.io for free and start building reactive data pipelines without the complexity. No credit card required.
Case studies, technical guides, and best practices for building data pipelines

From invisible scaling to invisible invoices—why engineering teams are ditching FaaS for persistent, predictable data engines.

At layline.io, we've harnessed the robust capabilities of Apache Pekko to bring you a comprehensive low-code event-processing platform. With our solution, you can leverage the full potential of Apache Pekko without writing a single line of code.

In an age where data rules supreme, managing and orchestrating the vast sea of information has become the backbone of numerous businesses and industries.