IBM Netezza is #23 in Top 10 Big Data platforms

IBM Netezza
IBM Netezza appliances - expert integrated systems with built in expertise, integration by design and a simplified user experience. With simple deployment, out-of-the-box optimization, no tuning and minimal on-going maintenance, the IBM PureData System for Analytics has the industry’s fastest time-to-value and lowest total-cost-of-ownership.

Positions in ratings


#23 in Top 10 Big Data platforms

Alternatives


The best alternatives to IBM Netezza are: Teradata, Hadoop



Latest news about IBM Netezza


2014. IBM adds Netezza analytics as a service to its cloud



IBM has unveiled a range of new cloud data services for IBM Cloud, expanding its offerings with several innovative tools. These additions include DataWorks, an intelligent data-preparation tool, dashDB, an in-memory analytic database powered by Netezza, and a localized version of the cloud-based database Cloudant. This comprehensive set of capabilities showcases IBM's commitment to enhancing its Bluemix platform. Notably, dashDB positions IBM alongside industry giants like Amazon Web Services, Google, and Microsoft, as it introduces its own analytic service built on columnar database technology, further solidifying its presence in this domain.




2014. The Netezza team is back with Big Data startup Cazena



The recently launched startup Cazena, which secured $8 million in funding, aims to streamline big data processes for large enterprises. Leveraging the expertise of its founding team, who previously worked on the data warehouse specialist Netezza (acquired by IBM in 2010), Cazena is well-positioned to deliver on its promise. Prat Moghe, the CEO of Cazena and former senior vice president at Netezza, is supported by Netezza founder Jit Saxena and longtime Netezza CEO Jim Baum, who both serve on Cazena's board. Cazena recognizes that many large companies face challenges in understanding the necessary technologies for deployment. The complexities surrounding Hadoop, NoSQL, Spark, and Elasticsearch often leave them unsure of when and where to utilize these tools. Moreover, transforming these technologies into a functional "data lake," as advocated by some vendors, proves daunting for these companies. Cazena's approach aims to shift the focus from infrastructure to applications, simplifying the big data landscape. To achieve this, Cazena plans to leverage cloud technology.