Rapids Data Releases RapidsDB 4.0 For Improved SQL Queries

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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.

See also: Hortonworks provides needed visibility into Apache Kafka

Rapids Data claims that the the platform moves data processing beyond the “extract and load” model, which it says is now archaic, to the “live integrated query” model while still allowing companies to make use of and extract value from their legacy data with flexible tools to help them integrate it.

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.

Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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