Data Integration Tools   

METL / Metadata ETL

Simplify Your Complex Data Integration

Our Technology: Data Rules Engine, Metadata Management and Json Processing

Dynamic ETL Integration between SQL, NoSQL, Cloud/Microservice and Flat Files

  • Low LOE to Implement Large ETL Projects
  • Design Wizards Create ETL Dataflows En Masse from any Data Source
  • Dynamic Schema Integration with ORM, ReST and SQL/NoSQL. This Includes Salesforce and other Cloud Vendors.
  • Scalability and High Availability from Kafka and Zookeeper
  • Compliance Tracking: Report on All Data Lineage, Schema and PII Data
  • Overview

  • Designing

  • Dynamic Integration

  • Metadata Management

  • Java / Spring

We Have Many Innovations

METL's primary value to ETL is similar to Low Code programming tools. Most work can be done without manual coding. METL is a universal ETL engine designed for all major use cases across microservices, SQL, NoSQL and flat files. METL's multiple Rules Engine workflows can address the many complex data architecture paradigms from a data warehouse, data lake, data marts, ODS, search engines and application integration. METL can equally handle streaming, batch or files. We use Apache Kafka as our persisted message queue that can support client rest service pulling data.

METL uses Json for all internal processing which allows for easy integration and extensibility. Json processing also allows loosely bound coupling to the schema. That means changes to schema does not create fatal errors. METL's rule engine can detect and propagate real time schema changes while updating the data dictionary and logs. This rare functionality has several enterprise use cases.

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90% of ETL Programming is Boilerplate Coding. There's Got to be a Better Way . . .

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