The ETL Engine offers the opportunity to simultaneously write data to multiple places with a 'single read'. Writing to more than one location allows processed data to be immediately available to operational functions, without having to reprocess it from Hadoop to a more suitable storage type (such as MongoDB).
Cardinality offers its ETL platform as a standalone product. Customers who have already begun their Big Data journey can either add our ETL to their existing data solution, for maximum benefit, or as part of a new greenfield development.
Standardizes data feed implementation. Allows speedy delivery of new data sets into the Hadoop cluster.
Built-in data monitoring and quality algorithms to manage enormous volumes of data sets in real time.
Ingest massive amounts of data from multiple sources. Whether incoming data has explicit or implicit structure, you can rapidly load into Hadoop, where it is available for down-stream analytic processes.
High performance ETL engine already running at scale, capable of processing above 40 billion rows of data in real time per day.
Offload transformation of raw data by parallel processing at scale.
Provides solution that takes the fear out of managing and scaling data pipelines.
Performs traditional ETL tasks of cleansing, normalizing, aligning, and aggregating data for your Enterprise Data Warehouse.
Capable of enriching data in real time using massive cache lookups, leading to faster and easier data mining and reporting.