SAP HANA vs Teradata

May 26, 2023 | Author: Michael Stromann
2
SAP HANA
SAP HANA converges database and application platform capabilities in-memory to transform transactions, analytics, text analysis, predictive and spatial processing so businesses can operate in real-time.
11
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.

SAP HANA and Teradata are both powerful data platforms with different approaches to data management and analytics.

SAP HANA is an in-memory database and analytics platform developed by SAP. It leverages in-memory computing technology to store and process large volumes of data in real-time. SAP HANA offers advanced capabilities for real-time analytics, data modeling, and predictive analytics. It is particularly well-suited for real-time operational reporting, data warehousing, and complex query processing. SAP HANA provides a unified platform that combines database management, analytics, and application development capabilities.

Teradata, on the other hand, is a massively parallel processing (MPP) data warehouse platform that excels in handling large-scale data workloads. It offers a scalable and robust architecture for data storage, retrieval, and analytics. Teradata is known for its ability to handle complex analytical queries and support high concurrency in multi-user environments. It provides advanced features for data integration, data transformation, and workload management.

See also: Top 10 Big Data platforms
SAP HANA 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. SAP and IBM partner to provide SAP HANA on IBM Cloud



The software giants SAP and IBM have joined hands and announced the availability of the HANA Enterprise Cloud service, a Big Data platform, through IBM's cloud infrastructure. SAP CEO Bill McDermott acknowledged the immense demand for SAP HANA in the cloud and described the global agreement with IBM as marking a new era of cloud collaboration. IBM CEO Ginni Rometty highlighted this as a significant milestone in the deployment of enterprise cloud, emphasizing that IBM's secure, open, and hybrid enterprise cloud platform will enable SAP clients to embrace new ways of working in an era shaped by big data, mobile, and social advancements.


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.


2014. SAP: Germany won the World Cup thanks to Big Data


In the not-too-distant past, the Oracle yacht emerged victorious in the America's Cup. Subsequently, Oracle marketers attributed this achievement to the utilization of Oracle's Big Data system. Now, it's SAP's turn (Oracle's perennial rival) to respond to this marketing claim. As it turns out, the German football team's triumph in the World Cup can also be attributed to a Big Data system called SAP Match Insights, which operates on the innovative SAP HANA technology. This system synchronized data from scouts with video footage captured on the field, enabling coaches to easily identify crucial moments during the game. By leveraging SAP Match Insights and SAP HANA, the coaches of the German National Team simplified their training methods and improved performance, thereby enhancing the beauty of the sport for fans worldwide. This story serves as a reminder of the transformative potential of Big Data for businesses.


2013. SAP makes big companies effective with Big Data. Competitors are crying


In recent years, SAP was probably the least innovative IT giant (compared to competitors Oracle, Microsoft, IBM). All SAP's own innovative projects mostly failed (remember Business ByDesign), and the only thing that SAP could do - is buying other companies (SuccessFactors, SyBase, Ariba). But at this time, SAP is going to outdo all the competitors on the wave of new trendy technology - Big Data. What is Big Data? ***

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