IBM Netezza vs Teradata

May 26, 2023 | Author: Michael Stromann
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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.
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Teradata
Teradata Aster features Teradata Aster SQL-GR analytic engine which is a native graph processing engine for Graph Analysis across big data sets. Using this next generation analytic engine, organizations can easily solve complex business problems such as social network/influencer analysis, fraud detection, supply chain management, network analysis and threat detection, and money laundering.
IBM Netezza and Teradata are both widely recognized data warehouse platforms, each with their own strengths and characteristics.

IBM Netezza, now part of the IBM Integrated Analytics System (IIAS), is an appliance-based data warehouse solution that offers high-performance analytics and querying capabilities. Netezza utilizes a hybrid architecture, combining field-programmable gate arrays (FPGAs) with disk-based storage, to deliver fast data processing and query performance. It is known for its simplicity and ease of use, allowing organizations to quickly load and analyze large volumes of data.

Teradata, on the other hand, is a long-standing player in the data warehousing market, known for its scalability, parallel processing capabilities, and advanced analytics features. Teradata's architecture is specifically designed for handling massive amounts of data and supporting complex analytical workloads. It offers a comprehensive suite of tools and features for data integration, transformation, and analysis.

See also: Top 10 Big Data platforms
IBM Netezza vs Teradata in our news:

2015. Teradata acquired app marketing platform Appoxee



Analytics company Teradata has recently acquired Appoxee, an Israeli push-messaging startup that focuses on assisting publishers and developers in enhancing user engagement within their applications. The acquisition, valued at approximately $20 million, addresses a significant challenge faced by app developers today: retaining users and encouraging them to actively utilize their apps amidst the constant influx of new applications entering the market. Appoxee provides developers with a solution by leveraging push messages, which serve as reminders to complete a game, deliver updates about app enhancements, or offer coupons for in-app purchases. Additionally, Appoxee offers a platform to facilitate the creation and execution of these push messaging campaigns.


2014. Teradata acquired data-archiving service RainStor



Data warehouse vendor Teradata continues to expand its presence in the realm of Big Data through strategic acquisitions. In its latest move, Teradata has acquired data-archiving specialist RainStor for an undisclosed sum, marking its fourth acquisition this year. RainStor specializes in developing an archival system that can be integrated with Hadoop and claims to achieve data volume compression of up to 95 percent. Teradata's acquisitions, including Hadapt and Think Big Analytics, demonstrate the company's ambition to play a more significant role in organizations' big data environments, transcending its traditional position as a data warehouse and business intelligence provider.


2014. MapR partners with Teradata to reach enterprise customers



The last remaining independent Hadoop provider, MapR, and the prominent big data analytics provider, Teradata, have joined forces to collaborate on integrating their respective products and developing a unified go-to-market strategy. As part of this partnership, Teradata gains the ability to resell MapR software, professional services, and provide customer support. Essentially, Teradata will act as the primary interface for enterprises that utilize or aspire to use both technologies, serving as the representative for MapR. Previously, Teradata had established a close partnership with Hortonworks, but it now extends its collaboration and analytic market leadership to all three major Hadoop providers. Similarly, earlier this week, HP unveiled Vertica for SQL on Hadoop, enabling users to access and analyze data stored in any of the three primary Hadoop distributions—Hortonworks, MapR, and Cloudera.


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.


2014. Teradata is launching its own Hadoop cloud service



Data warehouse provider Teradata has recently announced the launch of its Hadoop cloud service, along with a new and significant partnership with Cloudera. Over the past few years, Teradata has been engaged in a debate regarding the potential threat posed by the open-source Hadoop platform and its expanding capabilities to its multibillion-dollar business of selling proprietary and costly database software and appliances. Regardless of whether Teradata is genuinely concerned, the company is taking extensive measures to embrace Hadoop and incorporate it into its sales cycle. The partnership with Cloudera stands out as one of Teradata's major recent initiatives, partially loosening the existing tight collaboration between Teradata and Cloudera's competitor, Hortonworks.


2014. Teradata buys big data consulting firm Think Big Analytics



Data warehouse vendor Teradata has made a strategic move to enhance its expertise in big data by acquiring Think Big Analytics, a consulting firm specializing in assisting clients with the implementation of open source technologies and the development of analytics applications. Think Big Analytics excels in deploying extensive and intricate infrastructures, with Teradata serving as a significant component, albeit a substantial and often costly one. In the competitive landscape, rivals like Pivotal, IBM, and Oracle are promoting comprehensive suites of data analytics systems. Even emerging players like Cloudera are encroaching on Teradata's domain with data warehouse alternatives that offer lower costs for higher storage capacities, although they may be less advanced in functionality.


2014. Teradata acquired Hadapt, Revelytix for Big Data boost



Teradata has initiated the consolidation of the big data market through the acquisition of two prominent vendors in the big data sphere. One of these vendors is Hadapt, which offers a comprehensive analytics environment capable of analyzing data in both Hadoop and traditional SQL environments. The other vendor is Revelytix, whose data-management suite, now known as Loom, aids Hadoop users in managing data complexity by discovering data, generating metadata, and tracking data lineage. Teradata emphasized that the acquisition of Revelytix equips them with data-management and data-preparation tools for Hadoop, addressing a previous gap in their offerings. Furthermore, the inclusion of the Revelytix team brings valuable expertise in metadata management to Teradata.

Author: Michael Stromann
Michael is an expert in IT Service Management, IT Security and software development. With his extensive experience as a software developer and active involvement in multiple ERP implementation projects, Michael brings a wealth of practical knowledge to his writings. Having previously worked at SAP, he has honed his expertise and gained a deep understanding of software development and implementation processes. Currently, as a freelance developer, Michael continues to contribute to the IT community by sharing his insights through guest articles published on several IT portals. You can contact Michael by email stromann@liventerprise.com