Alpine Chorus 4.0 Aims to Increase Hadoop Big Data Interoperability

Have Hadoop distributions and other Big Data platforms grown too diverse and disparate to be useful in the enterprise? Alpine Data Labs thinks so, and has released a new product, Alpine Chorus 4.0, that it says enables universal data discovery and analytics across heterogeneous Big Data environments.

The many different Hadoop distributions, NoSQL databases and other Big Data technologies that are now in production use in enterprises is a testament to just how large the Big Data market has grown in a few short years. But the diversity also limits interoperability between different brands of Big Data products.

According to Alpine, Chorus 4.0 can overcome that problem by allowing organizations to work with data across different types of platforms from a single location. The software "allows for sophisticated machine learning algorithms to be run and managed simply across heterogeneous data systems such as Cloudera, MapR, Pivotal HD or databases like PostGreSQL, Oracle and Greenplum," according to the company.

It added, "With Alpine Chorus 4.0, data scientists and engineers can be productive on any data – Hadoop or not; business users are engaged early and quickly add value to the advanced analytics conversation; and finally, executives rely on a standard platform to build repeatable, secure and reusable analytical practices."

The company expects the solution to appeal in a market where "only 4 percent of enterprises get business value out of their Big Data investment," according to Joe Otto, president and CEO at Alpine Data Labs, who was citing research from a source not specifically identified. By making it easier for data scientists using different types of software to collaborate, Alpine hopes to attract business from enterprises seeking to extract much greater value from the Big Data infrastructure they already have in place.