Fresh Data for
Faster Insights
Ingest from any source, parse any format, and land clean data in your warehouse in real-time. Your dbt models and dashboards are only as good as the data feeding them—make it fresh.
The Data Pipeline Bottleneck
You're the bridge between raw data and business insights. But instead of building transformations in dbt, you're stuck waiting for data to arrive—or worse, debugging why it didn't.
Waiting on Ingestion
Your dbt models are ready, but the data isn't. You're blocked by delayed or failed ingestion pipelines that someone else owns.
Schema Surprises
Source systems change without warning. A renamed field or new data type breaks your models—and you only find out when stakeholders complain.
Data Quality Black Box
Bad data gets into your warehouse before you can catch it. Missing values, duplicates, and format inconsistencies surface in dashboards, not at ingestion.
Too Many Tools
Fivetran for SaaS, Airbyte for APIs, custom scripts for files. Each tool has its own quirks, and none integrate cleanly with your dbt workflow.
Fresh Data, Zero Drama
layline.io handles ingestion so you can focus on what you do best—building transformations that turn raw data into business insights.
Real-Time Streaming
Data flows continuously into your warehouse. No more waiting for batch jobs or wondering when the next sync will run.
Visual Design
Build pipelines and write business logic visually in Config Center or use your favorite IDE. Export configurations for version control alongside your dbt models.
Validation at Ingestion
Bad data gets rejected before it reaches your warehouse. Define quality rules once, and layline.io enforces them on every record.
One Platform, Every Source
Databases, APIs, files, message queues—all handled by a single tool. No more juggling Fivetran, Airbyte, and custom scripts.
From Source to Warehouse in Three Steps
No complex ETL pipelines. No custom code. Just configure and stream.
Connect Your Sources
Point layline.io at databases, REST APIs, files, or message queues. Configure JSON, XML, CSV, and complex formats visually.
Define Your Pipeline
Configure parsing, validation, and routing. Version control with your favorite VCS.
Stream to Warehouse
Data flows continuously to Snowflake, BigQuery, or Databricks. Query with dbt instantly.
Ready to simplify your data ingestion?
Get Started FreeFrequently Asked Questions
Everything analytics engineers need to know about getting fresh, clean data into your warehouse with layline.io.
Fivetran and Airbyte focus on pre-built connectors for SaaS applications. layline.io excels at ingesting from any source—including custom APIs, legacy systems, IoT devices, and proprietary file formats. If you need to handle data that doesn't fit neatly into a standard connector, layline.io is the answer.
Visual configuration with minimal coding. layline.io uses a visual workflow designer backed by JSON configuration. For custom logic, extend with JavaScript or Python processors when needed.
layline.io lands clean, structured data directly in your warehouse tables. Your dbt models can query this data immediately—no staging tables or intermediate transformations needed. Teams can version control their layline.io configs alongside their dbt project for a unified data workflow.
layline.io validates data at ingestion time with configurable rules for schema enforcement, null checks, type validation, and custom business rules. Bad records can be routed to dead-letter queues with full context, so you know exactly what failed and why.
Absolutely. layline.io processes millions of events per second with sub-second latency. It's built on a reactive, non-blocking architecture that scales horizontally. Whether you're ingesting 100 records/day or 100 million, layline.io handles it efficiently.
layline.io supports all major cloud warehouses including Snowflake, BigQuery, Databricks, and Redshift. It also supports data lakes (S3, GCS, AWS), message queues (Kafka, Kinesis), and databases (PostgreSQL, MySQL, JDBC, Aerospike, etc.). New destinations are added regularly.
Ready to Get Fresh Data Flowing?
Stop waiting for stale batches. Start streaming clean data to your warehouse in minutes, not months.