Business Intelligence Server Pricing

Explain How InetSoft's Small Footprint BI App with Built-in Elastic Computing Is More Cost Effective Than Traditional BI Alternatives

InetSoft's small footprint BI app with built-in elastic computing offers several cost advantages over traditional BI alternatives. Its design focuses on efficiency, scalability, and reduced infrastructure costs, making it a more cost-effective solution. Here's how:

1. Lower Infrastructure Costs

Traditional BI solutions often require expensive on-premise servers, extensive data storage, and dedicated IT teams to maintain hardware and software. InetSoft's small footprint means it:

• Requires less computing power to run efficiently.

• Can operate on commodity hardware rather than requiring expensive enterprise-grade servers.

• Uses in-memory processing to optimize performance without needing additional hardware.

This significantly cuts down capital expenditure (CAPEX) and ongoing operational costs (OPEX).

2. Built-in Elastic Computing: Pay for What You Use

Most traditional BI tools lack elasticity, requiring users to overprovision computing resources to handle peak workloads. InetSoft's elastic computing automatically scales resources based on demand:

• During low usage periods, computing resources scale down, reducing cloud and infrastructure costs.

• During peak periods, extra resources are provisioned only as needed, preventing unnecessary spending.

This contrasts with traditional BI software, where companies must pay for peak capacity year-round, leading to waste.

3. Faster Deployment, Lower IT and Maintenance Costs

Traditional BI solutions often involve:

• Long, complex implementation cycles (weeks or months).

• Heavy customization and development work.

• Dedicated IT support for maintenance, upgrades, and troubleshooting.

InetSoft's small footprint and self-service capabilities allow businesses to:

• Deploy much faster, reducing setup costs.

• Minimize reliance on IT teams, allowing business users to handle data integration, transformation, and visualization without requiring deep technical expertise.

• Avoid costly ongoing maintenance, as the system updates automatically.

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