Zoomdata, developer of a data visualization and analytics system optimized for big data, has introduced Zoomdata for Amazon Web Services (AWS) to help users connect, stream, and visually interact with big data from sources in AWS and across the enterprise.
Zoomdata's Smart Connectors includesupport for big data sources such as Amazon's Redshift, Amazon Simple Serve (S3), Hive, and Amazon Elastic MapReduce (EMR), Amazon Aurora, and Amazon Kinesis, and also Hadoop distributions from Cloudera and Hortonworks, as well as Spark, Solr, MongoDB, MemSQL and others. There are also Smart Connectors for more traditional data sources such as Oracle, MySQL, SQL Server, flat files and APIs.
The introduction is aimed at customers that want the simplicity of deploying on AWS combined with the performance of Zoomdata, and managed and invoiced through a single AWS account, says Russ Cosentino, vice president of Channels at Zoomdata. According to Cosentino, businesses can spin up a Zoomdata Server and then rapidly connect, stream, and visualize their data whether it is from sources on AWS or on premises using an interface that is designed for a business user.
This article appeared in IOUG Cloud Strategies E-Briefing, an information resource prepared by Database Trends and Applications Magazine and published in cooperation with the Independent Oracle Users Group. To subscribe, click here.