Relavance associative datawarehouse
Connect BIG data, discover and report on data and patterns in hours.
Implementing the complete datawarehouse in hours/days
Instantly serve the business users
Improving speed of complex queries by factor 100-1000!!
60+% Cost reduction on implementations and maintenance
The secret of this disruptive datawarehouse technology is the patented associative core. Relavance stores data in an associative way, atomically, automatically. It connects its data on a value level, concept level, association level and pattern level.
No data modeling
While ingesting different data streams the associative datamodel is automatically generated. Including concepts, indexes, contexts and associations.
Extreme fast implementations
No need for datamodeling, no need for internal datadistribution to e.g. datamarts and automatic incremental loading, Savings are above 80% in time and therefore also in money.
Just concentrate on requirements, clean data and discovery.
All data is stored atomically and connected to each other. The source is not relevant: if it is structured data or unstructured data, API, NoSQL, PDF or otherwise. Making it e.g. a full text search engine
The automatic creation of indexes on a field/concept level together with the patented technology causes all data to be connected in 4 reads in stead of a normal 30+ disk reads.
Separation of data and datamodel
Because all data is stored atomically, the datamodel can be changed without moving data. Moreover, multiple datamodels can be used simultaneously.
All data is de-duplicated. Resulting in approximately 70% less data.
Instant pattern and data discovery
Data can be ingested in minutes, discovery can be done immediately afterwards.
The storage of data is on disk because the disk is fast enough. Making a theoretically endless storage capacity possible.
Security by design
GDPR Proof and unhackable by the military because of three levels of 128-bit dynamic mathematical encryption.
Automated machine learning
True augmented intelligence, integrated on a database level. This uses patterns to learn and not statistical models creating a traceable artificial intelligence.
This superb technology makes it usefull for:
Datalake and Datawarehouse projects, IoT projects, AI projects, Blockchain projects/distributed ledger projects or ...
operational database projects