Terraform vs IBM Cloud vs CloudSphere (2025)- Features, Pricing & Uses

CloudSphere

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Pricing

All these tools Terraform , IBM Cloud , CloudSphere offer flexible pricing models suitable for cloud architect, DevOps engineer seeking AI-powered solutions to enhance their Cloud AI efforts.

Terraform

Starting from

custom

Pricing Model:

Free - $0

IBM Cloud

Starting from

$1000 VPC credits

Pricing Model:

Price - Free Trial

CloudSphere

Starting from

Ask For Price

Pricing Model:

Price - Contact

Overview

These AI tools are among the best Cloud AI tools available in 2025. For cloud architect, DevOps engineer, tools like Terraform , IBM Cloud , CloudSphere help streamline the Cloud AI process by offering AI-powered features.

What is Terraform?

Terraform is a leading open-source infrastructure as code (IaC) tool developed by HashiCorp, first released in 2014. Terraform allows for version control, collaboration, and automation.

What is IBM Cloud?

IBM Cloud is a leading enterprise platform built for AI, security, and hybrid flexibility. Designed for regulated industries, it offers over 230 products, from watsonx AI tools to Hyper Protect Virtual Servers, enabling businesses to scale efficiently. With free tiers and USD 1000 VPC credits, IBM Cloud simplifies transformation.

What is CloudSphere?

CloudSphere’s Illuminate360 gives businesses unmatched visibility into their IT environments. With automated service discovery and AI-driven mapping, it simplifies cloud migration and cost optimization across AWS, Azure, and hybrid setups.

Our Verdict

Terraform

No ratings found!

IBM Cloud

No ratings found!

CloudSphere

(4.2/5)

Accuracy and Reliability:
4.5
Cost-Efficiency:
4
Customization and Flexibility:
4.5
Data Privacy and Security:
4
Ease of Use:
4.5
Functionality and Features:
4.5
Integration Capabilities:
3.5
Performance and Speed:
3.5
Support and Resources:
4.5

User Ratings & Reviews

Terraform

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IBM Cloud

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CloudSphere

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Pros & Cons

Not Enough Data!

CloudSphere

Pros

Accurate cloud asset detection and relationship mapping.

Effective management for diverse cloud ecosystems.

Reliable security with regulatory compliance tracking.

Seamless connectivity with AWS

GCP

and external tools.

Cons

Customer support can be delayed in responding.

The cost structure isn’t transparent initially.

The setup process may feel intricate for beginners.

Minimal functionality without internet access.

Some challenges arise during version updates.

Alternatives

If you're looking for other Cloud AI tools for cloud architect, DevOps engineer, you can also explore Mistral AI, RunPod, Cortex Cloud, Check Point Software, CloudZero, CloudBolt, VMware, Nutanix Cloud Manager, Scalr, BMC Helix, CloudCheckr, Emma Cloud, which are highly rated in 2025.