[{"data":1,"prerenderedAt":501},["ShallowReactive",2],{"breadcrumb-blog-post":3,"solutions-etl-elt-en":4},null,{"doc":5,"isFallback":499,"effectiveLocale":500},{"title":6,"description":7,"ogTitle":8,"ogDescription":9,"hero":10,"useCases":41,"formats":269,"comparison":350,"faq":427,"finalCta":460,"body":157},"ETL/ELT Pipelines | layline.io – Real-Time Data Integration Platform","Modern ETL/ELT pipelines with flexible format configuration, real-time streaming, and batch processing. Deploy in hours with content-aware data orchestration.","ETL/ELT Pipelines | layline.io","Build production-ready ETL and ELT pipelines in hours with visual format configuration, real-time streaming, and zero-dependency deployment.",{"badge":11,"titlePrefix":14,"titleHighlight":15,"description":16,"callout":17,"primaryCta":20,"secondaryCta":24,"screenshot":28,"stats":31},{"label":12,"icon":13},"Workflow Solution","i-ph-flow-arrow","Modern ETL/ELT","Without the Complexity","Build production-ready data pipelines in hours with visual format configuration, real-time streaming, and zero-dependency deployment.",{"icon":18,"text":19},"i-ph-lightbulb","Unlike traditional ETL tools that require separate systems for extraction, transformation, and loading, layline.io provides a unified pipeline with native format parsing and real-time intelligence.",{"label":21,"to":22,"icon":23},"Download Free","/get-started","i-ph-arrow-right",{"label":25,"to":26,"icon":27},"View ETL Examples","#use-cases","i-ph-code",{"src":29,"alt":30},"/images/screen-shots/project_workflow_08.jpeg","layline.io ETL/ELT Workflow Editor",[32,35,38],{"value":33,"label":34},"Stream + Batch","Both Modes",{"value":36,"label":37},"Visual + Code","Development",{"value":39,"label":40},"Self-Hosted","Full Control",{"badge":42,"titlePrefix":45,"titleHighlight":46,"description":47,"toolsLabel":48,"unifiedLabel":49,"flowLabel":50,"items":51},{"label":43,"icon":44},"ETL/ELT Use Cases","i-ph-diamonds-four","Real-World","ETL/ELT Scenarios","From financial transactions to IoT sensor streams, see how unified pipelines solve complex data integration challenges","TOOLS REQUIRED","UNIFIED PLATFORM","DATA FLOW",[52,111,165,219],{"id":53,"accent":54,"icon":55,"title":56,"subtitle":57,"tags":58,"description":61,"traditional":62,"layline":74,"flows":82,"metrics":95},"financial-services","cyan","i-ph-bank","Financial Services","1M+ transactions/day · \u003C50ms latency",[59,60],"SWIFT","Real-time","High-volume, low-latency financial pipelines replace opaque blob processing and custom parsers with visual format configuration, content-aware routing, and real-time streaming.",{"title":63,"bullets":64,"chips":69},"Traditional ETL",[65,66,67,68],"Opaque blob processing—no understanding of transaction fields","Custom parsers for each format (SWIFT, ISO 20022, XML)","Manual routing rules—breaks when schemas change","Batch delays—hours to process high-value transactions",[70,71,72,73],"ETL Platform","Custom Parsers","Kafka","Airflow",{"title":75,"bullets":76,"chip":81},"With layline.io",[77,78,79,80],"Configure SWIFT and XML-based formats visually—instant field access","Content-aware routing based on amount, country, risk score","Automatic schema adaptation—zero downtime updates","Real-time streaming—\u003C50ms end-to-end latency","layline.io Only",[83,86,89,92],{"source":84,"destination":85},"SWIFT MT103","Fraud Detection",{"source":87,"destination":88},"Payment Files","Data Warehouse",{"source":90,"destination":91},"Cards","Analytics",{"source":93,"destination":94},"ACH","Reconciliation",[96,101,106],{"label":97,"before":98,"after":99,"proof":100},"Latency","2hrs","\u003C50ms","240x faster",{"label":102,"before":103,"after":104,"proof":105},"Format Support","Custom","Native","Zero coding",{"label":107,"before":108,"after":109,"proof":110},"Deployment","6 weeks","3 days","14x faster",{"id":112,"accent":113,"icon":114,"title":115,"subtitle":116,"tags":117,"description":121,"traditional":122,"layline":132,"flows":138,"metrics":151},"ecommerce","purple","i-ph-shopping-cart","E-Commerce","100K+ SKUs · Real-time sync",[118,119,120],"CSV","XML","EDI","Supplier and product-data integration combines real-time APIs and batch files while visual format configuration reduces the time needed to onboard new suppliers.",{"title":63,"bullets":123,"chips":128},[124,125,126,127],"Dozens of custom connectors for each supplier format","Can't mix real-time APIs with batch file drops","Manual schema mapping breaks with supplier changes","Stale product data—hours or days behind",[70,129,130,131],"API Gateway","SFTP Server","Scheduler",{"title":75,"bullets":133,"chip":81},[134,135,136,137],"Built-in CSV, XML, JSON—configure formats visually","Unified pipeline for real-time APIs + batch files","JavaScript/Python for custom transformation logic","Incremental updates—only changed products synced",[139,142,145,148],{"source":140,"destination":141},"Supplier CSV","Catalog",{"source":143,"destination":144},"API Updates","Shopify",{"source":146,"destination":147},"Orders","Fulfillment",{"source":149,"destination":150},"XML Feeds","Search",[152,156,160],{"label":153,"before":154,"after":60,"proof":155},"Update Frequency","Daily","24/7 fresh data",{"label":102,"before":157,"after":158,"proof":159},"","Any Format","Configurable",{"label":161,"before":162,"after":163,"proof":164},"Time to Add Supplier","2 weeks","1 hour","80x faster",{"id":166,"accent":167,"icon":168,"title":169,"subtitle":170,"tags":171,"description":175,"traditional":176,"layline":185,"flows":191,"metrics":203},"telecoms","orange","i-ph-broadcast","Telecoms","Billions of CDRs · Carrier-grade",[172,173,174],"ASN.1","TAP/RAP","CDRs","Carrier-grade mediation and streaming scenarios need telecom-specific format support, SLA-sensitive processing, zero data loss, and real-time routing across billing, fraud, and analytics.",{"title":63,"bullets":177,"chips":182},[178,179,180,181],"Batch windows can't meet SLA requirements","Dropped records during traffic spikes = revenue loss","Custom parsers for telecom-specific formats","Complex multi-system architecture for routing",[183,72,71,184],"Mediation Platform","Load Balancers",{"title":75,"bullets":186,"chip":81},[187,188,189,190],"Reactive streaming—sub-millisecond processing","Backpressure handling—zero data loss at peak loads","Configure any format ASCII/Binary/ASN.1, etc.","Content-aware routing to billing, fraud, analytics",[192,194,197,200],{"source":174,"destination":193},"Billing",{"source":195,"destination":196},"Events","Monitoring",{"source":198,"destination":199},"Roaming","Settlement",{"source":201,"destination":202},"All","Warehouse",[204,209,214],{"label":205,"before":206,"after":207,"proof":208},"Processing Time","Minutes","Milliseconds","Real-time SLA",{"label":210,"before":211,"after":212,"proof":213},"Data Loss","1%","0%","Carrier-grade",{"label":215,"before":216,"after":217,"proof":218},"Throughput","10K","1M+/s","100x scale",{"id":220,"accent":221,"icon":222,"title":223,"subtitle":224,"tags":225,"description":230,"traditional":231,"layline":240,"flows":245,"metrics":257},"iot-manufacturing","green","i-ph-factory","IoT & Manufacturing","100K+ events/sec · Edge/Cloud",[226,227,228,229],"HTTP/REST","UDP","WebSocket","Binary","The same pipeline handles massive industrial event throughput, buffering, zero data loss, and deployment flexibility across edge and cloud environments.",{"title":63,"bullets":232,"chips":236},[233,234,235],"Batch processing can't keep up with 100K+ events/sec","Network issues = data loss without buffering","Separate solutions for edge vs cloud deployment",[70,237,238,239],"MQTT Broker","Edge Gateway","Custom Code",{"title":75,"bullets":241,"chip":81},[242,243,244],"Reactive streaming handles millions of events/sec","Backpressure buffering—zero data loss guaranteed","Same pipeline deploys to edge or cloud—your choice",[246,249,252,255],{"source":247,"destination":248},"Sensors","Time-Series",{"source":250,"destination":251},"Alerts","Dashboard",{"source":253,"destination":254},"Aggregated","S3/ML",{"source":229,"destination":256},"Cloud",[258,261,265],{"label":215,"before":259,"after":217,"proof":260},"10K/s","100x faster",{"label":210,"before":262,"after":263,"proof":264},"Common","Zero","Guaranteed",{"label":107,"before":266,"after":267,"proof":268},"2 Systems",1,"Edge + Cloud",{"badge":270,"titlePrefix":273,"titleHighlight":274,"description":275,"concept":276,"categories":283,"backgroundImage":343,"cta":346},{"label":271,"icon":272},"Unified Data Dictionary","i-ph-brackets-curly","One Data Dictionary.","Any Format Unified.","layline.io generates a common data dictionary from all configured formats in your project. No manual mapping. No custom parsers. Just configure your formats and work with unified, typed data across your entire pipeline.",{"title":277,"steps":278,"closing":282},"How the Unified Data Dictionary Works",[279,280,281],"Define your data format within layline.io's visual editor. Ask for ready-made templates.","layline.io analyzes all configured formats and creates a unified data dictionary with typed fields, relationships, and validation rules.","Access fields like message.data.amount or message.data.transaction.currency regardless of source format. Database queries? Define your own dictionary amendments to match DB schemas.","No manual field mapping between formats. No custom parsing code. The dictionary is your single source of truth.",[284,295,303,311,322,329],{"title":285,"accent":54,"items":286},"Structured Data",[287,288,289,290,291,292,293,294],"JSON - Nested objects","XML - Schema validation","CSV - Delimited files","ASN.1 - Binary storage","Complex ASCII - Hierarchical text","Complex Binary - Free-form binary","Hybrid - Mixed formats","+ More",{"title":296,"accent":297,"items":298},"Financial & Banking","emerald",[299,300,301,302,294],"SWIFT MT - FIN messages","FIX - Trading protocol","SEPA - EU payments","NACHA - ACH files",{"title":304,"accent":305,"items":306},"Healthcare","violet",[307,308,309,310,294],"HL7 v2 - Pipe delimited","HL7 v3 - XML-based","FHIR - Modern standard","DICOM - Medical imaging",{"title":312,"accent":167,"items":313},"Telecommunications",[314,315,316,317,318,319,320,321],"ASN.1 - Binary encoding","TAP - Roaming records","RAP - Settlement","CDR - Call records","Ericsson Rx - Any Rx format","Cirpack - Custom Cirpack","Siemens AMA x - Any AMA format","+ Any other CDR format",{"title":323,"accent":221,"items":324},"IoT & Industrial",[325,326,327,328,294],"HTTP/REST - UDP","WebSocket - Real-time data","Binary - Custom protocols","UDP - Real-time streaming",{"title":330,"accent":331,"note":332,"items":333},"Databases & Cloud Platforms","blue","Define your own data dictionary amendments",[334,335,336,337,338,339,340,341,342,294],"JDBC - SQL databases","MongoDB - Document DB","Cassandra - Wide column","Redis - Key-value","Snowflake - Data warehouse","BigQuery - Google Cloud","Redshift - AWS warehouse","S3 - Object storage","Kafka - Streaming",{"src":344,"alt":345},"/images/unsplash/photo-1639322537228-f710d846310a.jpg","Data formats and code",{"text":347,"label":348,"to":349},"Don't see your format? layline.io's extensible architecture allows you to add custom format parsers via JavaScript or Python.","Ask About Custom Formats","/resources/contact",{"badge":351,"titlePrefix":354,"titleHighlight":355,"description":356,"tableTitle":357,"featureLabel":358,"columns":359,"rows":371},{"label":352,"icon":353},"Comparison","i-ph-scales","How","layline.io Compares","A clear view of what sets modern, content-aware ETL/ELT apart","How layline.io Compares to Traditional ETL/ELT Tools","Feature",[360,364,367],{"key":361,"name":362,"featured":363},"layline","layline.io",true,{"key":365,"name":63,"subtitle":366},"traditional","(Talend, Informatica)",{"key":368,"name":369,"subtitle":370},"orchestrators","Modern Orchestrators","(Dagster, Airflow)",[372,378,381,387,391,396,401,406,411,415,421],{"metric":373,"values":374},"Real-time Streaming",{"layline":375,"traditional":376,"orchestrators":377},"Yes","No","Add-on",{"metric":379,"values":380},"Batch Processing",{"layline":375,"traditional":375,"orchestrators":375},{"metric":382,"values":383},"Native Format Parsing",{"layline":384,"traditional":385,"orchestrators":386},"Unlimited","10-20 formats","Custom code",{"metric":388,"values":389},"Visual Workflow Editor",{"layline":375,"traditional":375,"orchestrators":390},"Limited",{"metric":392,"values":393},"Code/Scripting",{"layline":394,"traditional":395,"orchestrators":375},"JavaScript/Python","Java",{"metric":397,"values":398},"Local Development",{"layline":375,"traditional":399,"orchestrators":400},"Server required","Complex setup",{"metric":402,"values":403},"Deployment Time",{"layline":206,"traditional":404,"orchestrators":405},"Days-Weeks","Days",{"metric":407,"values":408},"Infrastructure Dependencies",{"layline":263,"traditional":409,"orchestrators":410},"Heavy","DB, Queue,\u003Cbr>Workers",{"metric":412,"values":413},"Typical Latency",{"layline":207,"traditional":414,"orchestrators":206},"Minutes-Hours",{"metric":416,"values":417},"Learning Curve",{"layline":418,"traditional":419,"orchestrators":420},"Gentle","Medium","Steep",{"metric":422,"values":423},"Total Cost of Ownership",{"layline":424,"traditional":425,"orchestrators":426},"$","$$$$","$$ (infra)",{"badge":428,"titlePrefix":431,"titleHighlight":432,"description":433,"contactLabel":434,"contactTo":349,"items":435},{"label":429,"icon":430},"Frequently Asked Questions","i-ph-question","Everything You Need to Know About","ETL/ELT Pipelines","Common questions about modern data integration with layline.io","Still have questions? Contact us",[436,439,442,445,448,451,454,457],{"question":437,"answer":438},"How is layline.io different from traditional ETL tools like Talend or Informatica?","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.",{"question":440,"answer":441},"What data formats can layline.io handle?","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.",{"question":443,"answer":444},"What does \"zero infrastructure dependencies\" actually mean?","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.",{"question":446,"answer":447},"Can I use Python or do I have to learn a new language?","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.",{"question":449,"answer":450},"How does layline.io achieve millisecond latency?","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.",{"question":452,"answer":453},"Can I migrate from my existing ETL/ELT tool without rewriting everything?","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.",{"question":455,"answer":456},"What kind of scale can layline.io handle?","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.",{"question":458,"answer":459},"Do I need special training to use layline.io?","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.",{"badge":461,"titlePrefix":464,"titleHighlight":14,"description":465,"steps":466,"ctaTitle":488,"ctaDescription":489,"primaryCta":490,"secondaryCta":491,"trustPoints":494,"proofPoint":498},{"label":462,"icon":463},"Getting Started","i-ph-rocket-launch","Get Started with","From design to deployment in minutes, not weeks",[467,474,481],{"number":468,"title":469,"bullets":470},"01","Design Your Pipeline",[471,472,473],"Visual workflow builder","Start with templates","Test locally with sample data",{"number":475,"title":476,"bullets":477},"02","Deploy in Minutes",[478,479,480],"One-click to cluster","Edge, cloud, or hybrid","Zero infrastructure setup",{"number":482,"title":483,"bullets":484},"03","Monitor & Scale",[485,486,487],"Real-time dashboards","Auto-scaling built-in","Carrier-grade reliability","Start Building in Minutes","Join teams processing billions of events daily with production-ready ETL/ELT pipelines",{"label":21,"to":22,"icon":23},{"label":492,"to":349,"icon":493},"Schedule Technical Demo","i-ph-calendar",[495,496,497],"No credit card","Open source","Cloud or self-hosted","1M+ events/sec proven in production",false,"en",1783586156977]