Deploy your way: SaaS, Hybrid, Private, and On-Prem Options

The Challenge

Adopting a new data platform often comes with a rigid ultimatum: adapt your infrastructure, security protocols, and compliance strategy to fit the vendor's deployment model, or walk away. Many cloud-native tools offer only a SaaS solution, leaving organizations with strict data residency requirements (like HIPAA, GDPR, or internal policies) in a bind. Conversely, purely on-prem solutions can lack the agility and scalability benefits of the cloud. The inability to deploy a data platform exactly where and how your business needs it leads to painful compromises, security risks, increased operational burden, and potentially, outright non-compliance. It's like trying to move into a new house but realizing you can't choose where the front door goes or if it even has a lock.

The Solution: Your Platform, Your Rules, Your Cloud

Mage offers unparalleled deployment flexibility, empowering organizations to choose the architecture that best fits their unique technical, security, and compliance requirements. We understand that one size does not fit all, and we provide solutions ranging from fully managed cloud to complete on-premises control.

• Fully Managed Cloud: Simplicity and Speed: For teams prioritizing speed, ease of use, and minimal operational overhead, Mage offers a fully managed cloud (SaaS) solution. We handle all the underlying infrastructure, maintenance, and updates, allowing your team to focus solely on building powerful data pipelines. This is ideal for rapid development and quick time-to-value without dedicated DevOps resources.

• Hybrid Cloud: Cloud Control, Private Data: Many organizations want the benefits of a managed service but need their sensitive data to remain within their private networks. Mage's hybrid cloud deployment model achieves this balance. Mage manages the control plane in our cloud, handling orchestration, scheduling, monitoring, and metadata management. Meanwhile, your data and compute resources remain entirely within your Virtual Private Cloud (VPC) or private cloud environment. This ensures full data privacy and security while leveraging Mage's advanced features.

• Private Cloud: Complete Control within Your Cloud: For enterprises requiring even tighter control and full isolation, Mage can be deployed entirely within your private cloud network. This means the entire Mage Pro platform—both the management (control plane) and data processing (data plane) components—runs inside your own cloud infrastructure. This option offers maximum control over environment, networking, and governance, crucial for sensitive workloads.

• On-Premises Deployment: Ultimate Sovereignty: For organizations with stringent data sovereignty, legacy infrastructure, or disconnected environments, Mage supports full on-premises deployment. You can run Mage Pro in Docker containers as well as Kubernetes within your own data center. This provides the highest level of control over your data and compute, ensuring all processing stays within your physical boundaries. It's perfect for complex security requirements or industries with strict regulatory mandates.

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• Consistent Experience Across Deployments: Critically, no matter which deployment option you choose, you get the same powerful Mage platform. This means the same visual pipeline builder, AI-powered development, multi-language support (Python, SQL, R, dbt), and comprehensive observability are available across all architectures. This consistency reduces learning curves and simplifies operations for your data teams.

• Network Security and Custom Configurations: Regardless of the deployment model, Mage allows you to implement custom security network access rules like IP whitelisting. We also support VPN for application account sign-in and SSL certificate authentication for select databases, adding layers of network security. Furthermore, you can apply custom configurations and provision additional services to tailor your environment exactly as needed.

Real-World Scenario: A Global Bank's Hybrid Data Strategy

Imagine a large global bank that manages highly sensitive financial data across multiple continents. They want to modernize their data pipelines with an AI-driven platform but must adhere to strict data residency laws and internal security policies. They also want to benefit from a managed service for non-sensitive data workflows.

Using Mage, the bank can implement a comprehensive, flexible strategy:

1. Sensitive Data (Private Cloud/On-Prem): For all customer transaction data, regulatory reporting, and internal financial analytics, they deploy Mage in a private cloud environment within their specific region, or even fully on-premises. This ensures that sensitive data never leaves their controlled network and meets all data residency and compliance requirements.

2. Less Sensitive Data (SaaS/Hybrid Cloud): For public-facing website analytics, marketing campaign performance, or other non-PII data, they might use Mage's fully managed SaaS solution or a hybrid cloud deployment. The hybrid option allows them to keep the data processing in their own cloud while Mage handles the control plane, offering a balance of control and ease of use.

3. Unified Operations: Despite different deployment locations, their data engineers use the same Mage UI, tools, and best practices to build, monitor, and manage all pipelines. The same powerful features, including AI-assisted development and advanced orchestration, are consistently available across every environment.

4. Security and Compliance: Mage's RBAC and audit logs provide granular access control and a complete record of all data operations, satisfying the bank's rigorous security and compliance audits.

By offering this spectrum of deployment options, Mage allows the bank to achieve optimal agility and innovation for all its data initiatives, without compromising on security, compliance, or cost control. This flexibility ensures that Mage can integrate seamlessly into even the most complex enterprise IT landscapes.