A Semantic ETL Tool Suite
SO WTH Is SemAntic ETL?
We combine sophisticated metadata management and a rules engine to harness our powerful ETL platform. Semiotic is an agile, versatile application with low or no coding that eliminates boilerplate ETL programming. Our management studio, using the metadata, manages the entire ETL life cycle. This includes design, quality control, documentation, monitoring and remediation, all with little effort. Our application approach to ETL provides options for real time and/or automated schema change and deployment plus several other new use cases.
Your data agility comes from the integrated managing of schema, mappings, quality control, monitoring and remediation. In addition the metadata management gives you flexibility to easily implement change.
Pain Points of Data Integration
Where We Rock!
Don't let ETL slow your team down. Automatic, rules based schema change propagation from your OLTP database (SQL or NoSQL) to destination datastores. Plus we handle Json and dynamic forms.
Manage large schemas with vastly reduced effort compared to ETL programming.
Form names can be automatically normalized into separate tables.
Sweep a file directory, ingest multiple files, read column headers, sample data, detect schema changes then create or update metadata and optionally the destination schema.
Semiotic empowers your business and data analyst to be more productive without needing deep programming skills.
Native Json processing and metadata that supports hierarchies allows Semiotic to effortlessly integrate SQL, NoSQL and REST
Allow your customers to define and manage their own data feeds via a web portal.
Microservices interface allows easy integration. Add real-time/codeless data integration to your app. OEM licensing available.
Seamlessly handle SQL and semi-structured data. Pivot/unpivot and normalize Json automatically.
Track and report on data lineage, data dictionary, personal identifiable information (PII), obfuscation of PII, SDLC, data errors and mitigation.
Scale up and/or scale out. Parallel processing, Kubernetes and Kafka queues.
See What's Under the Hood
You Won't Be Disappointed
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