As I speak with customers across various industries—from financial services to government and media—one theme consistently emerges: AI is transforming the way enterprises approach data infrastructure.
Just a few years ago, public clouds were considered the only path forward. It promised speed, elasticity, and innovation. But with the rise of AI, many organizations are realizing the cloud is not always the most efficient, secure, or cost-effective environment for their most demanding workloads.
We’re now seeing a clear shift: AI is accelerating cloud repatriation. In a recent survey by Foundry of over 200 IT decision-makers, nearly 60% stated that AI workloads are the top priority for moving back from SaaS data warehouses within the next 12–24 months.
Why enterprises are moving AI workloads off the cloud
AI workloads differ significantly from traditional enterprise workloads. They require enormous compute, ultra-fast access to massive datasets, and strict cost predictability.
Here’s what I hear most often from CIOs, CDOs, and heads of infrastructure:
- “The costs are out of control.” AI training and inference on cloud infrastructure can drive monthly bills into the millions.
- “Our data is too heavy to move.” The gravity of enterprise data, often petabytes strong, makes constant transfers to and from the cloud impractical and expensive.
- “We need performance, not latency.” AI pipelines demand immediate access to data for training and analytics. Latency kills productivity.
- “Compliance won’t wait.” Regulated industries can’t risk handing over sovereignty of their data in shared public environments.
In short, AI has exposed the limitations of cloud-only strategies.
How AI-ready databases enable cloud repatriation
This is precisely where OpenText Analytics Database (Vertica) comes in. Built for advanced analytics and AI, OpenText Analytics Database provides enterprises with the freedom to run workloads on-premises, in private cloud, or in hybrid models—wherever it makes the most sense for performance, cost, and compliance.
Here’s why it’s winning with AI-driven organizations:
Unmatched analytics performance
Engineered from day one to analyze massive datasets at lightning speed, OpenText Analytics Database handles everything from complex queries to powering AI models—scaling performance without compromise.
Cost control without compromise
Customers report they’ve cut costs dramatically by moving AI and analytics workloads from the public cloud into OpenText Analytics Database. No more unpredictable billing. Instead of unpredictable billing, they achieve predictable economics on commodity hardware or private cloud environments.
AI and ML where your data lives
With in-database machine learning and advanced analytics, this solution eliminates the need for costly data movement and fragmentation. Many customers have reduced query times from hours to seconds, accelerating AI pipelines and business outcomes.
Deployment freedom
Unlike cloud-native databases that lock you in, OpenText Analytics Database supports hybrid and multi-cloud strategies. Run your workloads where you need them today and adapt as requirements change.
Security and compliance at enterprise scale
Built with enterprise-grade governance in mind, it helps organizations keep sensitive data secure while enabling sophisticated AI use cases.
The future is AI, and OpenText is ready
AI is pushing enterprises to rethink cloud strategies, and the conclusion is clear: Organizations need the agility of the cloud and the control of on-premises.
With OpenText Analytics Database, you don’t have to compromise. You can power your AI and analytics workloads at massive scale, with performance, cost efficiency, and security that the public cloud alone simply can’t match.
Take control of your AI workloads today
Don’t let cloud limitations slow your AI initiatives. Explore how OpenText Analytics Database can help your organization repatriate mission-critical workloads, accelerate AI/ML insights, and maintain secure, compliant data management at scale.
Talk to our experts today
