Hybrid Cloud—A Modern Data Analytics Solution | Cloud Trends

Hybrid cloud environments are popular with leading companies that want the flexibility and elasticity of the cloud while also utilizing their existing on-premises data analytic technologies. With this approach, organizations don’t have to choose between moving all workloads to the cloud or keeping everything on-premises. They can decide where to place applications, services, and data based on performance, cost, efficiency, agility, and other factors. 

Hybrid blends on-premises and cloud within an organization’s ecosystem. It leverages at least one cloud service, whether public cloud, private cloud, or multi-cloud, along with on-premises data warehousing, which is different from a strictly multi-cloud strategy that handles all tasks, from data storage to disaster recovery to data analytics, in two or more clouds. 

The use of hybrid cloud environments is steadily growing. “By 2022, over 90% of enterprises worldwide will be relying on a mix of on-premises/dedicated private clouds, multiple public clouds, and legacy platforms to meet their infrastructure needs,” according to the International Data Corporation.

Innovative companies take a cloud first approach. They know they must use a cloud data analytics platform that unifies everything—data lakes, data warehouses, analytics, new data sources, and all data types.

The cloud offers numerous business and IT advantages, yet many companies have also invested in on-premises data warehousing and other data resources. Using a combination of both the cloud and on-premises solutions in an integrated ecosystem enables a range of benefits:

While companies know they need to move to cloud environments to be competitive, there’s a difference between cloud first and cloud only.

Companies are modernizing their data analytics environments to uncover new insights. They can meet business and IT needs in the cloud, such as increased agility and oftentimes lower-cost data storage.

To ensure they’re optimizing their data, companies should consider six critical capabilities when choosing a modern cloud data analytics platform:

A hybrid multi-cloud platform that offers these capabilities helps enterprises of the future solve their most complex data challenges at scale. These companies make data their greatest asset to guide every decision and action.

For example, Vodafone Germany is using data to connect 350 million people to Gigabit networks by 2025. The owner of the Utah Jazz uses flexible cloud data analytics to create winning customer experiences. Other companies, like Lloyds Banking Group, optimize data to deepen customer relationships.

Today’s enterprises demand a hybrid approach, and it’s why Teradata offers a hybrid multi-cloud data analytics platform. Teradata Vantage™ uses the same software across all environments. This gives companies the portability to deploy a modern data analytics solution anywhere, including public clouds AWS, Azure, and Google Cloud, and on-premises with Teradata IntelliFlex and VMware.

The Teradata approach to hybrid cloud lets companies leverage the right tool for each job based on data latency, velocity, cost, skills, and workload duration. Because the same software is used everywhere, business users and analysts can use their preferred tools and languages in the cloud and on-premises without having to learn new skills, data analytic tools, or methodologies. As the world’s most adaptable data analytics platform, Vantage delivers the power and flexibility today’s companies need.