Choosing the Right BI Deployment Model: Cloud vs On-Premises

TL;DR: Struggling to choose between cloud and on-premises deployments? Learn when to choose cloud deployment or on-premises deployment in this blog to align your BI strategy with your organization’s infrastructure, security, compliance, and scalability needs.

Introduction

In today’s data-driven world, teams evaluating BI platforms often struggle to decide where to deploy their solution, balancing cost, scalability, speed, security, compliance, and infrastructure control while planning for long-term growth. Bold BI® addresses this by offering both cloud and on-premises (self-hosted) deployments, giving organizations flexibility to align with security policies, compliance requirements, and IT capabilities. Whether you want the agility of cloud infrastructure or the control of running BI on your own server, Bold BI supports both models.

In this blog, we’ll compare cloud and on-premises deployment, outline key advantages and limitations, and help you choose the best fit for your organization’s technical and business needs.

Who this guide is for

This guide is for technical teams selecting, deploying, and managing BI platforms, especially when security, compliance, and scalability matter. It is particularly helpful for:

• IT managers responsible for governance and availability.

• DevOps engineers managing deployment and scaling.

• BI and data architects designing analytics environments.

With that context, the next step is to define deployment model and explain why it affects security, compliance, cost, and operational effort.

Understanding Bold BI deployment models

Bold BI allows you to deploy your analytics platform in the cloud for faster rollout and easier scaling, or on-premises for maximum control over data, security, and infrastructure, depending on your organization’s requirements. Let’s explore each deployment model in detail to better understand the benefits, limitations, and ideal use cases.

Cloud deployment

Cloud deployment is a hosted option where the BI environment runs in public cloud infrastructure. Bold BI manages the hosted environment, while your team configures data connections, access controls, and governance based on your requirements.

 Key advantages

• Quick setup with reduced maintenance: Get started faster and provide access to dashboards for authorized users, subject to your network and security configurations.

• Faster dashboard creation and timely insights: Build dashboards efficiently, connect to many data sources, and support near‑real‑time analytics depending on your data pipeline and refresh configuration.

• Enterprise-oriented capabilities: Options may include multitenancy, branding, embedding, and controls that can help support common compliance needs.

Recommended if

• You need a fast setup with minimal infrastructure lead time.

• You want a solution that grows with your business, especially if workloads are unpredictable or expected to change frequently.

• You prefer less IT work instead of managing servers, updates, and maintenance.

• Your team requires access from anywhere to support remote or distributed users.

Next, let’s explore on-premises deployment.

On-premises (self-hosted) deployment

On-premises deployment allows you to run Bold BI within the infrastructure you manage, providing greater control over data location, security configuration, and operational policies. It can be deployed on your Windows or Linux environments, you can use Docker or Kubernetes, or even host it on cloud virtual machines such as AWS, Azure, or GCP.

Key advantages

• Internal deployment without vendor-hosted infrastructure: Run the platform inside your network boundary, with optional integrations based on your architecture.

• Full data ownership and flexibility: Deploy on your own servers for complete control, customization, and deployment flexibility.

• Security and access control: Options may include role-based access control, SSO integration, and encryption features to help meet your security policies.

• End-to-end analytics capabilities: Connect data, prepare it with built-in ETL, explore insights with AI, and easily export or embed dashboards.

Recommended if

• You require full control over deployment and hosting.

• You must align with internal governance or regulatory standards.

• Your organization has dedicated IT and DevOps capacity.

• You prefer managing update cycles internally.

To learn more about these Bold BI deployment options that give you flexibility to meet security, compliance, and infrastructure needs, refer to our documentation.

To make the trade-offs easier to evaluate quickly, here’s a side-by-side comparison of cloud and on-premises deployment.

Cloud BI vs On‑premises BI: Side-by-side comparison

The following comparison table highlights the key differences between cloud and on-premises deployments to help you choose the right model for your organization’s needs.

Criteria	Cloud deployment	On‑premises deployment
Where it runs	Hosted in public cloud infrastructure	Internal servers or organization‑owned data centers
Control level	Low to moderate	Highest
Security and compliance	Strong cloud security but dependent on provider controls	Greater control over data residency and security configuration
Scalability	Very high elasticity and auto scaling	Based on available infrastructure capacity
Infrastructure management	Managed by the hosting environment	Managed by your internal team
Upgrade control	Typically provider‑managed	You control patching and version upgrades

If you are still deciding, the checklist below walks through the key questions in the same order that most IT and DevOps teams evaluate them.

How to choose the right deployment model

Use the criteria below to narrow down the best deployment model based on your environment and constraints.

• Data governance requirements: Choose the model that gives you the level of control you need over data, security policies, and compliance obligations.

• Compare upfront investment vs ongoing spend: Decide whether a lower initial cost or investing in your own infrastructure better fits your budget strategy.

• Infrastructure management: Select an approach based on whether you want faster rollout with less infrastructure management or full internal configuration and oversight.

• Scalability expectations: Pick the option that aligns with how you expect to scale, either flexing quickly with demand or expanding based on available capacity.

• Decide how updates should happen: Choose between an approach with provider-managed updates or one where you control the timing of patches and upgrades.

Here is a quick summary of what to remember.

Key takeaways

Your deployment model directly shapes outcomes like security boundaries, compliance readiness, performance consistency, operational effort, and long-term cost control. Bold BI® supports both cloud and on-premises deployments, so you can align analytics with your broader infrastructure strategy: cloud emphasizes speed and elasticity, while on-premises prioritizes control and governance. To select the right Bold BI model, evaluate your business goals, in-house technical capacity, and compliance requirements, then choose the approach that supports both today’s needs and future growth.

Sign up for a free trial to evaluate Bold BI in your environment, explore pricing to find the plan that matches your team’s scale and infrastructure, or schedule a personalized demo to validate the best deployment for your needs. If you’d like a tailored recommendation, contact our team, and for faster setup across environments, check out our blog on Bold BI auto deployment on Windows, Linux, Kubernetes, and Docker to streamline installation, automate configuration, and accelerate deployment.

Frequently asked questions

1. Which deployment option should I choose?

   Choose cloud if you want faster setup, elastic scaling, and less infrastructure work. Choose on-premises (self-hosted) if you need strict control over data residency, governance, or deployment behind your firewall.

2. Which platforms can I deploy on-premises BI on?

   You can deploy on Windows, Linux, Docker, or Kubernetes, and even cloud virtual machines like AWS, Azure, or GCP.

3. Is Bold BI secure?

   Yes, Bold BI is secure because it supports SSL encryption, role-based access controls, and enterprise-grade security measures designed to protect sensitive data.

4. What is Bold BI self-hosted or on-premises deployment?

   Bold BI on-premises (self-hosted) deployment is the version you install on your own servers, giving you full control over your data, security, and deployment environment.

5. Who should use the self-hosted deployment?

   The self-hosted deployment is best for teams that need strict privacy and full control over their analytics environment.