RapidsDB can support complex SQL queries, classify using a Hadoop-based dynamic model, and forward the results as a Kafka stream.
Rapids Data Technology, a provider of big data processing and analytics, technology, products, and services, has announced the newest version of its Big Data platform.
RapidsDB 4.0 can support complex SQL queries, classify using a Hadoop-based dynamic model and forward the results as a Kafka stream. It can also ingest multiple streams of sensor events, connect them to customer data in Oracle and fetch a recommendation from a Postgres table.
It can do all this with a single SQL query running at a rate of millions of events per second. Complex queries and live summary streams can be created simultaneously. Customized data types can be added. Postgres data can instantly be moved to Redshift with no need to change a thing. This all works toward the company’s goal of radical live integration.
Rapids Data claims that
They say key features include:
- An enterprise-grade unified big data analytics platform with standard SQL and JDBC interfaces designed to avoid unnecessary data migration
- Unique SQL Federation to federate data of any type (structured, unstructured, stream), any vendors, and any physical sources, and provide a unified data analysis platform
- An in-memory cluster capable of calling up to hundreds of nodes, fast parallel loading to in-memory cluster with pre-hashing.