Our Matching Engine identifies music that has been streamed on digital and traditional services so that artists get paid.
If you are a CMO, PRO or MRO facing increasing data volumes and changing file formats, the Matching Engine can help you.
Built on modern cloud technologies, it matches streaming music log files at a fraction of the cost and at multiple times the performance of legacy systems. It gives you the confidence to tackle streaming data with higher accuracy and operational costs which you control.
We understand that very high quality performance is needed to process streaming data. The Matching Engine supports horizontal scaling as standard. The design is cloud native and optimized for Azure Service scaling. We have production environments auto-scaling to 30,000 work matches per minute and our tests indicate we can scale to multiples of this.
Matching configuration parameters are conveniently organised in a three-level hierarchy and can be configured differently at each level. The Engine uses the hierarchy to identify the correct configuration setting for a given source or metadata characteristic. For example, a general work title similarity percentage could be defined and an alternate work title similarity percentage that applies to all publisher sourced matching could also be defined.
The Matching configuration parameters can easily be changed by business users and system administrators.
Interested in the Matching Engine?
The “look ahead” scaling feature monitors data volumes and data types in the Ingestion Pipeline and automatically pre-scales to meet demand. Scaling and the cost of cloud resources are placed under your control.
Scaling rules can be configured by data source and automatically invoked when the data type is detected in the Ingestion Pipeline.
Connection to on-premise, cloud repertoire and works databases is supported. Azure Data Factory is configured to manage the data extraction and loading to Azure storage for use by the Matching Engine. Azure Data Gateway is installed locally to your existing repertoire database, either on-premise or on your cloud environment and configured to manage the extraction.
Get the brochure with all the information about the Matching Engine.
October 7, 2021Read more
September 28, 2021Read more