Modern ETL/ELT Without the Complexity

Traditional ETL tools are designed primarily for batch processing and require heavy infrastructure. layline.io combines real-time streaming and batch processing in a single platform with zero infrastructure dependencies. While tools like Talend excel at visual design, they often struggle with real-time data and require complex server setups. layline.io runs on your laptop for development and deploys in minutes to production, handling both real-time streams and batch jobs with the same workflow.

layline.io provides powerful format engines for structured ASCII (CSV, fixed-width, delimited), XML, ASN.1-based formats, and custom binary structures—all configurable through the visual editor without coding. From these building blocks, you can define virtually any standard or proprietary format: financial messages like SWIFT, healthcare formats, EDI variants, telecom CDRs, and more. All configured formats automatically contribute to a unified data dictionary, so you can access fields like message.amount or transaction.currency regardless of the source format.

Unlike modern orchestrators (Airflow, Dagster, Prefect) that require databases, message queues, worker processes, and schedulers, layline.io is a self-contained runtime. You don't need to set up PostgreSQL, Redis, RabbitMQ, or Kubernetes clusters just to run a data pipeline. layline.io runs as a single process that handles everything: scheduling, execution, state management, and monitoring. This dramatically reduces operational complexity and total cost of ownership.

layline.io supports both JavaScript and Python for scripting. Workflows can be built with the visual editor, when you need custom logic, you can use either language. Unlike orchestrators where everything is code-first, layline.io's visual-first approach means you only write code when you need it. Common transformations, routing, and format conversions can be handled visually or with scripting.

layline.io is built on a high-performance streaming engine that processes events in-memory without serialization overhead. Data flows through the pipeline without being written to intermediate queues or databases. Traditional batch ETL and orchestrators introduce latency through scheduling delays, task queuing, and worker handoffs. layline.io's event-driven architecture means data is processed as it arrives, with minimal overhead—typically in milliseconds from input to output.

Yes. Many teams adopt layline.io incrementally, starting with new use cases or problematic pipelines that need real-time capabilities. You can run layline.io alongside existing tools. For migration, the visual editor makes it easy to recreate existing logic, and our team can help map your current workflows to layline.io. Most migrations happen pipeline by pipeline, not as a big-bang replacement, giving you time to train your team and validate results.

layline.io handles over 1 million events per second on standard hardware. It scales horizontally by adding more instances, and vertically by leveraging multi-core processors efficiently. Production deployments process billions of transactions daily. The combination of efficient in-memory processing and optional persistence means you can handle both high-throughput batch jobs and real-time streams with the same platform.

Most users are productive within hours. The visual workflow editor is intuitive for anyone familiar with data concepts. We provide comprehensive documentation, video tutorials, and example projects. For enterprise customers, we offer onboarding sessions and training workshops. The gentle learning curve means your team can start building pipelines quickly without months of ramp-up time.