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Trusted Business Advisors, Expert Technology Analysts

Research Areas

Data Protection/Management

Includes Backup, Recovery, Replication, Archiving, Copy Data Management and Information Governance.

The goal of modern data protection/management is to help companies protect, understand and use their data. Functionality comes in many forms, ranging from array-based snapshots and standalone backup, replication and deduplication products to comprehensive data management platforms. Since the amount of data is increasing much faster than IT budgets, companies are focused on decreasing storage costs and simplifying data protection processes. As a result, vendors are moving to scale-out platforms that use commodity hardware and offer better storage efficiency and policy-based automation of administrative functions, such as system upgrades, data recovery and data migration for long-term data retention. Depending on operational needs, objectives outside of data protection may include orchestrating the lifecycle of on-demand test/dev environments, using secondary storage for file services and search/analytics to ensure data compliance.

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Big Data

Includes Big Data Appliances, Scale-out Object Storage, On-Premise and Cloud Big Data, Data Management at scale, Big Data Protection and Operations.

Our big data practice covers the whole big data storage and analytics space for enterprises, from on-premises big data storage to cloud-scale infrastructure. We analyze all the emerging and established technology and trends in these active and growing categories, and communicate their detailed impacts on the enterprise and to their business-focused big data analysts. Corporations are now actively looking for key transformative technologies to help them meet their new big data challenges and the increasing demands of both data scientists and production application owners, all while controlling the exploding costs of storing, managing and protecting their growing big data stores.

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Cloud Management

Includes Cloud Infrastructure Management, encompassing Operations, Automation and Orchestration and Business/Financial Management; Virtual Infrastructure Management (monitoring, optimization and performance); Virtualized Datacenter Operations and strategies (automation and cloud computing); and Legacy Infrastructure Management.

This practice covers all forms of technologies and capabilities that impact and enable cloud and on-premises infrastructure management, including operational management; automation and orchestration; business management and cloud costing. This category also includes management of virtual infrastructure and traditional, non-virtualized on-premises environments. As on-premises infrastructure and apps transition to cloud, new management challenges arise, such as around workload mobility and migration, security and availability.

We track and examine these management challenges in the context of hybrid and multi-cloud environments, and identify opportunities for both vendors and end users to optimize their cloud management platforms and approaches.

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Data Center Systems

Includes HyperConverged, Converged, Disaggregated, and Legacy Infrastructure.

This category focuses on modern, on-premises infrastructure-based architectural approaches at the datacenter level. All aspects of the necessary infrastructure are included such as network, compute and storage. Taneja Group treats these systems as a complete solution for a particular workload whether it be general-purpose IaaS or vertical solutions targeted at specific use cases such as workload consolidation or applications such as SAP. We regularly compare and contrast the various architectural approaches that IT buyers are considering, evaluate their strengths and weaknesses, and discuss which approaches are likely to work best for specific workloads and use cases. We are always looking for shifts in industry thinking or technology adoption that might lead to an evolution of existing data center architectures, and engage with startup and large vendors alike to understand and characterize newly emerging approaches. Where possible, our reports and opinions are backed by primary research, including direct conversations with different classes of IT decision makers and influencers.

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Primary Storage

Includes Storage SAN Arrays, NAS, and other purpose-built, on-premises primary storage devices. Also included are key value-added storage technologies such as Flash, NVMe, Storage Class Memory and other relevant Storage Acceleration technologies.

In this category, Taneja Group analysts cover all form and manner of storage arrays, modular and monolithic, enterprise or SMB, large and small, general purpose or specialized. All emerging key strategic components that make up the primary storage systems are covered, soup-to-nuts. We look at specific storage acceleration technologies in a range of form factors, and assess how vendors and users can best take advantage of them to improve performance for specific types of use cases and workloads. We pay special attention to newly emerging technologies such as Storage Class Memory, and assess how they will work and interact with existing infrastructures and impact primary storage capabilities going forward.

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Cloud Platforms and Apps

Includes Cloud Platforms; IaaS, PaaS and SaaS; enabling infrastructure technologies; deployment types; and cloud development technologies and approaches.

This category covers all types of cloud platforms, including IaaS, PaaS and SaaS, along with all types of cloud deployments, such as private, public, hybrid and multi cloud. We cover enabling cloud infrastructure technologies in areas such as compute, storage and networking. This practice spans cloud apps development and deployment, including containers and microservices architectures, and the DevOps functions to manage them. We look at cloud platforms in the context of displacing traditional on-premises IT infrastructure and enabling new on-demand apps and services, providing customers with greater flexibility and agility. Though cloud is growing rapidly, we believe that cloud and traditional datacenter infrastructure will co-exist for many years to come, with companies electing to maintain some of their IT workloads and processes on-premises for reasons such as security, control and/or cost. We address the pain points and opportunities resulting from this transformation, to help vendors and end users optimize their cloud investments.

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Software Defined/Virtualized Infrastructure

Includes Software-Defined Infrastructure (compute, storage and networking), Virtual Infrastructure technologies (server virtualization, desktop virtualization, I/O virtualization), and the interplay between these technologies and traditional storage. Covers different types of Software-Defined Storage, such as Scale-out NAS, in depth.

Taneja Group has been at the forefront of assessing and characterizing virtualization and software-defined infrastructure technologies since they began to emerge in the early 2000’s. Virtualization has caused one of the most disruptive technology shifts in data center infrastructure in the last 15 years. While its basic principles may not be new, virtualization has never been so widespread, nor has it been applied to as many platforms as it is in today. Taneja Group analysts combine expert knowledge of server and storage virtualization with keen insight into their impact on all aspects of IT operations and management to give our clients the research and analysis required to take advantage of this “virtual evolution.” We focus on the interplay of server and client virtualization technologies with storage, and study the impact on performance, security and management of the IT infrastructure. Our virtualization practice covers all virtual infrastructure components: server virtualization/hypervisors, desktop/client virtualization, storage virtualization, and network and I/O virtualization.

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