Teradata named to Constellation hybrid data shortlist
Teradata has been named to the 2026 Constellation ShortList for Hybrid and Multicloud Analytical Data Platforms. Constellation Research selected three platforms from more than three dozen solutions it evaluated.
The listing places Teradata among a small group of vendors assessed on hybrid and multicloud deployment, vendor-run cloud service, governance and management, performance under mixed workloads, and readiness for analytics, data science and artificial intelligence.
Constellation Research said the shortlist is intended to identify enterprise data platforms that support a wide range of analytical workloads across on-premises systems and multiple public clouds. These include traditional business intelligence, operational analytics and AI-led decision processes.
Selection criteria
Teradata was evaluated on its availability as deployable software for on-premises and private cloud environments, as well as a managed database service across multiple public clouds. The review also cited its containerised architecture, which is designed to provide the same features and lifecycle management across deployment models.
The assessment also noted that Teradata operates its own cloud service, giving customers a single commercial and support relationship across software and cloud offerings. For large organisations managing data systems across several environments, that structure can help reduce operational complexity.
Governance was another area of assessment. Teradata said its platform integrates with enterprise governance, metadata and observability tools, with controls designed to support security, access management and policy enforcement across deployment footprints. It also said the platform includes tools to manage cost, resource use and workload efficiency.
Workload focus
The shortlist criteria also covered performance under concurrent workloads. In Teradata's case, the evaluation highlighted workload management, isolation and prioritisation features intended to sustain performance when business intelligence queries, ad hoc analysis, operational tasks and AI-related work run at the same time.
Readiness for analytics, data science and AI was another requirement. Teradata said its platform supports advanced SQL analytics and native execution of data science and AI workloads in non-SQL languages, including Python, while providing governed data access for decision workflows.
The recognition comes as enterprise buyers focus more on how data platforms support AI projects without weakening governance or disrupting existing analytics operations. Hybrid and multicloud strategies have become common among large companies that want to keep some data and workloads on premises while using public cloud services for scale, resilience or regulatory reasons.
Analyst shortlists like this often help technology buyers narrow options, especially in crowded infrastructure and data markets where suppliers make overlapping claims about deployment flexibility, management tools and AI support. Teradata's selection as one of three vendors may therefore strengthen its position in discussions with customers evaluating platforms for complex data estates.
Josh Fecteau, chief data and AI officer at Teradata, commented on the announcement.
"Enterprises are no longer asking whether they should integrate AI into their decision-making - they're asking how to do it at scale while maintaining governance and performance. Teradata has been purpose-built to meet those demands. Being named to the Constellation ShortList is an independent validation that our platform delivers the analytical rigor, deployment flexibility, and AI readiness that modern enterprises require," Fecteau said.