Follow Datanami:
November 29, 2016

Multi-Cloud Strategy Begets Data Connector

(Wright Studio/Shutterstock)

As more enterprises adopt so-called multi-cloud strategies, data management specialists are offering platforms that allow users to access data across different public clouds and web services. Cloud platform vendor Treasure Data has sought to expand that concept to include a data workflow manager designed to transfer and analyze data across major public clouds.

The workflow manager designed to unify data for self-service business analytics was rolled out this week during an Amazon Web Services’ partner event.

Along with the AWS cloud, Treasure Data said Tuesday (Nov. 29) the workflow manager would provide interoperability and data flow across multi-cloud infrastructure, including Microsoft Azure (NASDAQ: MSFT) and Google Cloud Platform (NASDAQ: GOOGL).

Treasure Data, based in Mountain View, Calif., also said its platform communicates “bi-directionally” with cloud data services such as Amazon’s Redshift data warehouse and Google BigQuery and G Suite, among others.

The workflow manager, which is generally available this week, also seeks to boost self-service analytics projects so that teams can transition workflow prototypes to production. In one use case, a customer said it is using the workflow manager to pull data from various databases such as MySQL and MongoDB. The results were then shifted to cloud-based analytics tools.

The move to connect data to different public cloud platforms reflects what some industry analysts predict is a discernable shift in the coming year to AWS (NASDAQ: AMZN) plus a second public cloud service. “A blended cloud strategy ensures CIOs are not locked into a single vendor or location while gaining the flexibility to match applications, workloads and service requests,” market watcher 451 Research noted in a cloud trend study released this week.

The predicted “AWS+1” strategy driven in part by the need to access more data and analytics tools also could “usher in the widespread use of [cloud-services] brokerages to deliver the right combination of offerings to meet different needs” as enterprises embrace hybrid cloud services, the market researcher predicted.

The predicted shift to hybrid clouds is good news for platform providers such as Treasure Data. The release of it new workflow manager follows the closure of the startup’s latest funding round in early November that raised an additional $25 million. The former SoftBank (TYO: 9984) investment arm led the latest funding round. The cloud analytics company has so far raised $54 million.

The latest round was used to support the launch of the company’s data management platform designed to gather data from across enterprises along with self-service analytics tools. Early customers include GE Healthcare (NYSE: GE) and Mitsubishi Heavy Industries (TYO: 7011).

Recent items:

Apache Beam’s Ambitious Goal: Unify Big Data Development

Google Releases Cloud Processor For Hadoop, Spark