In a bid to stay relevant at a time when the technology landscape is changing faster than ever, leading analytics solutions company has is getting aggressive with its cloud push.
The Ohio-headquartered global player, which competes with companies like Microsoft, Oracle and IBM, is also now facing challenges from new entrants like Alibaba, Amazon and Google in the hybrid cloud computing space. That beside, it is also looking at boosting its sales from emerging and developing economies like India even as there is a burgeoning demand coming from new sectors such as e-commerce, manufacturing and the latest being the government projects.
The company is in also sensing a huge demand to come from the Indian government's digital push with projects like Smart Cities and Digital India drives. At present, most of the sales for Teradata comes from traditional sectors such as oil and gas, retail, telecom and financial services sector.
Oliver Ratzesberger, Executive Vice President and Chief Product Offer at Teradata said at the Teradata Partners Conference here that, “Agility is a critical business priority, but complexity created by today’s hybrid environments can slow everything to a crawl. We want to empower business users to continue driving valuable business insights using their existing tools to leverage the data they need, no matter where it lives. We want data scientists and ‘power users’ to have increased control of how and where they run their advanced analytics and predictive algorithms. And, we want DBAs and system administrators to manage their multiple systems as one.”
The company has launched a few technology advancements that provide extreme flexibility, resource agility and analytic freedom to these companies. Teradata’s new Borderless Analytics capability with latest versions of Teradata QueryGrid software for analytics across heterogeneous, multi-system data stores, and Teradata Unity software for automated and seamless orchestration of a Teradata multi-system environment.
With this launch, Teradata is moving away from a single single system, single technology analytics, the company has launched ‘Borderless Analytics’ that will help businesses analyze data from any part of the world and platforms in a seamless manner. Enterprises are rapidly establishing a hybrid analytical ecosystem that combines on-premises appliances, on-premises virtualization technology, managed clouds and public clouds to improve sales by being able to gauge demand, manage operational expense among others.
Teradata Borderless Analytics also helps businesses to easily manage multi-system analytic environments and shift workloads to optimize resource utilization, while ensuring a seamless and transparent business user experience. It also enables cross-technology analytics, giving users access to heterogeneous analytic processing engines and data stores. For some companies, this will mean expanding from on-premises systems to cloud, while for others it will mean augmenting cloud with on-premises systems.
The company has also launched ‘Teradata Everywhere’ , a massively parallel processing (MPP) analytic database to multiple public clouds, managed cloud, and on-premises environments including Amazon Web Services, Microsoft Azure, Teradata Managed Cloud, VMware virtualization software, and the Teradata IntelliFlex platform.
“As companies move toward hybrid cloud architectures, Teradata is leading the industry by offering customers with choice and ensuring database compatibility across deployment modes. Teradata Everywhere delivers the flexibility to implement a hybrid architecture with a common database that enables shifting of workloads between environments as business needs evolve, supporting a company’s changing deployment strategy and economic needs. Having such flexibility is going to important and significant especially for Indian organisations”, said Sunil Jose, Managing Director Teradata India.
To deliver optimal performance and flexibility across these deployment options, Teradata has enhanced core features of the Teradata Database. The newest MAPS architecture will provide elasticity to seamlessly expand or shrink a Teradata data warehouse to scale alongside changing business needs. Additionally, the Teradata Database’s Adaptive Optimizer will automatically adjust to its host environment to provide the most efficient query plans, fastest query execution, and the most efficient system utilization.