UNIFIED DATA FOR AI/ML AT SCALE
Accelerate data access & analytics with managed Zetaris
COMMON DATA & AI/ML HURDLES
Addressing urgent data complexity & compliance needs
Overcome the hurdles preventing your organization from unlocking Zetaris' full potential to enable real-time data integration, simplify AI adoption, and meet compliance needs.
Disparate, siloed data across the enterprise
Regulated industries like finance, healthcare, government, and other large enterprises often face severe data fragmentation—disconnected on-prem databases, isolated cloud data lakes, and outdated legacy apps—slowing AI/ML workflows and driving up integration costs.
Strict regulatory & compliance mandates
Security and compliance regulations like SOC 2, HIPAA, PCI-DSS, and region-specific rules demand robust data governance. Without integrated real-time monitoring and compliance, organizations risk failing audits and stifling high-value AI projects.
Real-time analytics & complex data
Enterprises with massive data sets often need near-real-time data integration for advanced ML models or real-time analytics, but lack capacity to unify data quickly. Zetaris provides virtualization to speed data access and ensure stable ROI on new AI/ML initiatives.
WHY MANAGED ZETARIS
Unify enterprise data & power AI/ML with confidence
Our expertise helps enterprises break down data silos, enforce governance, and optimize performance—so you can focus on extracting real-time insights without the complexity of infrastructure management.
By partnering with iTmethods to deploy and manage Zetaris, you can:
- Consolidate siloed data – Query multiple on-prem and cloud data sources in real or near-real time—no forklift migrations. Ideal for regulatory compliance, large-scale analytics, or multinational data strategies.
- Embed compliance & governance – Enforce regulatory compliance checks, SOC 2 alignment, encryption, identity management, and audit logs—ensuring trust in heavily regulated verticals.
- Professional services & AMS – From data strategy to day-two expansions, iTmethods addresses regulatory compliance, concurrency scaling, cost optimization, and synergy with AI/ML frameworks—accelerating data-driven success.
MANAGED SERVICES CAPABILITIES
Comprehensive support for Zetaris data fabric
iTmethods’ Managed Zetaris solutions eliminate data fragmentation, ensure compliance, power real-time analytics, and support advanced AI/ML—all within a secure, single-tenant environment for data-intensive enterprises.
Data virtualization & federation
Connect to diverse data silos (Oracle, SQL Server, S3, NoSQL)—ideal for regulatory environments or large-scale data unification.
Parallel query & dynamic scaling
Handle massive data sets with multi-node query execution, ensuring near-real-time analytics for ML models or large-scale reporting.
High-performance optimization
Leverage caching, dynamic indexing, or advanced transformations for stable performance—vital for data sets requiring concurrency.
AI/ML integration
Seamlessly connect with frameworks (SageMaker, Databricks) or BI tools (Power BI, Tableau) for advanced ML models, real-time inference, or data-driven decisions.
Single-tenant hosting
iTmethods delivers Zetaris in a secure, single-tenant environment with optional multi-region support to boost data redundancy and provide disaster recovery for global teams.
Security & Compliance
Implement regulatory compliance checks, SOC 2 standards, encryption, identity management, and audit trails—crucial for regulated verticals or multinational compliance.
THE ITMETHODS DIFFERENCE
One platform for data, compliance & AI/ML
Our managed DevOps solutions handle Zetaris hosting and optimization—embedding compliance controls, advanced query scaling, and continuous enhancements for AI/ML initiatives. Gain predictable costs and expert support—without burdening your internal teams.
Centrally manage and query multiple data silos—ensuring secure, seamless access and governance for AI/ML-driven enterprises.
Tiered packages optimize compliance scope, advanced transformations, concurrency demands, and expansions—ensuring cost predictability with no surprises.
OngoingCentrally manage and query multiple data silos without forklift migrations—ensuring secure, seamless access and governance for AI/ML-driven enterprises. expansions, regulatory compliance checks, dynamic query scaling, and AI/ML framework integration—all expertly managed by iTmethods.
20 Years
of Managed Service Excellence
50+
DevOps Tools on One Integrated Platform
99.95%
Availability with 97.5% SLA Success
20–45%
Cost Savings
EXPERT-LED ZETARIS CONSULTING
Tailored solutions for data virtualization, compliance & ML value
Beyond managing Zetaris data solutions, our Professional Services address regulatory compliance, large-scale data unification, and iterative expansions to support advanced AI/ML initiatives.
What we do:
- Evaluate data compliance needs, data sprawl, concurrency usage, and AI/ML maturity.
- Identify quick wins, risks, and create a blueprint for aligning data virtualization with governance and ML capabilities.
Why it matters:
- Provides a clear roadmap for data strategy alignment, enhancing governance and improving near-real-time analytics to lay the foundation for seamless AI/ML expansions.
What we do:
- Deploy Zetaris with regulatory compliance, encryption, and identity management.
- Focus on minimizing downtime while unifying and securing your data sources.
Why it matters:
- Ensures a stable, production-ready environment with optimized connectors and tested runbooks.
- Provides a robust foundation for scaling AI/ML use cases while maintaining regulatory compliance.
What we do:
- Optimize queries, concurrency, data lineage, advanced transformations, and compliance logging.
- Tune the environment for performance and compliance in regulated industries.
Why it matters:
- Maximizes the performance of your data virtualization infrastructure.
- Ensures tight integration with AI/ML frameworks and mitigates risks in highly regulated environments.
What we do:
- Integrate Zetaris with AI/ML and BI tools like Databricks, SageMaker, Power BI, and more.
- Automate data transformations, concurrency rules, and compliance processes.
Why it matters:
- Streamlines data workflows, making it easier to leverage real-time analytics and AI/ML insights.
- Automates compliance checks, ensuring efficient and secure data pipelines.
What we do:
- Train teams on Zetaris usage, advanced data transformations, and regulatory compliance.
Why it matters:
- Develops a skilled, confident, data-driven workforce; ensuring compliance management for large, complex datasets.
What we do:
- Manage version updates, concurrency planning, and patch releases for Zetaris.
- Ensure alignment with evolving AI/ML requirements and regulatory standards.
Why it matters:
- Keeps your environment up-to-date with minimal disruption, ensuring reliability and scalability as your compliance and AI/ML needs evolve.
CONTINUOUS IMPROVEMENT
Extend your Zetaris environment with ongoing enhancements
Deploying Zetaris is just the beginning. Enterprises often require ongoing optimizations, governance, and enhanced data capabilities to support real-time analytics and AI/ML initiatives at scale.
Frequently Asked Questions
Zetaris data & AI/ML services FAQ
Regulated industries like banking, financial services, healthcare, government, and large data-heavy enterprises seeking real-time analytics or AI/ML—all with strict compliance needs.
We handle regulatory compliance checks, concurrency optimization, advanced transformations, day-two expansions, synergy with ML frameworks—removing overhead from your internal teams.
Data virtualization unifies distributed sources in near-real time, bypassing heavy migrations—enabling data scientists to focus on model building, not data wrangling.
We optimize concurrency usage, advanced caching/indexing, dynamic query execution—maintaining low latency even for large-scale or global expansions.
Certainly—Databricks for ML pipelines, Slack for collaboration, with compliance checks at each stage, ensuring real-time data synergy for analytics or DevOps teams.
Our single-tenant solution is custom-priced by environment size (small, medium, large). Professional Services is scoped per project or bucket of hours, while Application Managed Services is an annual subscription (Foundation, Premier, Enterprise).
A 4–8 week Quick-Start pilot confirms concurrency usage, compliance alignment, overhead reduction, advanced transformations—leading to multi-year expansions.
Yes—our Application Managed Services covers compliance refreshes, advanced transformations, concurrency scaling, and ML integration, ensuring your data environment evolves with future demands.
TRUSTED INTEGRATIONS & ECOSYSTEM
Empower data & AI/ML with leading platforms
Integrate Zetaris with your data and AI stack—AWS (SageMaker, Redshift), Azure (ML Studio, Synapse), Databricks, or on-prem RDBMS—to unify data seamlessly. iTmethods enables advanced query scaling, regulatory compliance, and smooth ML workflows for real-time and batch workloads.
Ready to Get Started?
Experience hassle-free data virtualization & AI/ML with Zetaris
Request a demo or consultation to see how iTmethods’ End-to-End Zetaris Solutions unify enterprise data—without forklift migrations—while embedding regulatory compliance and synergy with advanced AI/ML frameworks. Deliver real-time analytics or batch ML at scale, with minimal overhead and seamless scalability.