Powerful data pipelines
Quickly and easily pipe data into your cloud data warehouse.
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Accelerate digital transformation
Lingk offers powerful data pipeline technology on a fully managed, serverless Apache Spark solution, enabling you to quickly and easily pipe data into your Cloud Data Warehouse, expediting data preparation and accelerating time to valuable business insights.
Flexible
Unidirectional and Bidirectional data processing
ETL and ELT integration patterns supported
Extend integrations using microservices and custom events
Support for hybrid integrations to connect with on-premise data
Powerful
Fully-managed, serverless Apache Spark solution, No Dev Ops required
Support for all sized data sets, from thousands to hundreds of billions of records
Proven enterprise data integration connectors for CRM, ERP, EDW, and more
Intuitive
Low-code for easy configuration
Use SQL and YAML for powerful transformations
Navigate the app with an easy spreadsheet-like experience
Quickly find and reuse integration recipes and cookbooks
Features
Advanced data transformation
Support for advanced data transformation and aggregation using visual data mappings and SQL functions (multiple lookups, data pivots, data cleansing, date/time transformations)
Built-in advanced scheduling and alerting
Extract data from APIs, Databases, and Files to multiple cloud data warehouse platforms and data formats
Support for ETL (Extract / Transform / Load) and ELT (Extract / Load / Transform) scenarios
Integrate with hundreds of data stores and applications
Big data processing
Fully managed, serverless Apache Spark solution, big data processing engine
Support for all sized data sets, from thousands to hundreds of billions of records
Load local flat files (CSV, TSV, Excel)
Connect local databases (JDBC, ODBC)
Connect cloud applications and warehouses via APIs
Easy to use
Leverage data teams’ existing skills with no training required beyond SQL knowledge
Use low-code SQL recipes in easy-to-use web-based interface
Agile low-code SQL recipes make it easy for data engineers and database admins to build ETL and ELT pipelines