Zoomdata, developers of a fast visual analytics solution for big data, announced Zoomdata for Google Cloud Dataproc, empowering users to visually analyze data in seconds, even across billions of rows of data.
Zoomdata customers can use Google Cloud Dataproc, a managed Hadoop and Spark service, to analyze data in Google Cloud as well as connect to their data distributed across their on-premise and other cloud deployments. Using Zoomdata’s Smart Connectors, which are optimized for the advanced features that are inherent in modern data sources, users can quickly connect, stream and visualize their enterprise data within Zoomdata for Google Cloud Dataproc. This powerful new product is the result of Zoomdata’s AnyCloud™ initiative, delivering analytic solutions that are optimized for the unique capabilities of the world’s leading cloud platform providers.
This is a terrific opportunity for businesses that want to harness the power of Spark and Hadoop without the complexities and cost,” said Russ Cosentino, vice president of Channels at Zoomdata. “We are honored to collaborate with Google to offer our industry-leading visual analytics solution in conjunction with Google Cloud Dataproc.”
Zoomdata, which is architected to leverage the processing power of modern data environments such as Cloud Dataproc, takes the query to the data and is able deliver actionable visual analytics, charts and dashboards against billions of rows of data, within seconds. This schema on read approach eliminates the need to move copies of data to redundant data repositories that are built around proprietary schema’s or pre-aggregated results. Instead, Schema on Read means users can have an interactive experience with all of their data, wherever it resides.
Zoomdata is the first Big Data Analytics solution natively architected for both cloud and on premises deployments using an optimized microservices approach that delivers visual analysis of big data sets in seconds. Zoomdata’s patented Data Sharpening™ technology delivers the industry’s fastest visual analytics for real-time streaming or historical data, while Zoomdata Fusion enables the joining of big data with other modern and traditional datastores – without the need to move or transform data.
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