Aerol vs UniDeploy
Aerol
aerol.aiUniDeploy
unideploy.comSide by side
| Figure | Aerol | UniDeploy |
|---|---|---|
| Price from | Free | $15/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Plans published | 1 | 2 |
| Spec score · AI DevOps Assistants | 7.8 (#11) | 7.8 (#14) |
| Integrations | The homepage lists GitHub, OpenAI, Anthropic, Google Cloud, AWS, Azure, Docker, Kubernetes, PostgreSQL, Redis, Supabase, Figma, Slack, Sentry, Cloudflare, and Linear as ecosystem tools. | The site names ServiceNow and Jira for incident management and says it works with AI models including Bedrock, Anthropic, OpenAI, Gemini, and Ollama. |
| Security | Aerol says it uses AES-256-GCM encryption at rest, TLS 1.2+ in transit, supports multi-factor authentication, and is GDPR compliant; its page labels SOC 2 Type I as ready and says a formal audit is planned. | The site says UniDeploy is built in Rust, uses mTLS encryption, runs on users’ machines, and keeps secrets in the user’s environment. |
| Support | Aerol lists [email protected] as its support contact. | The free plan lists community support and the paid plan lists email support. |
Plans
In their own words
UniDeploy
UniDeploy is an AI-powered DevOps CLI that runs on a user's machine and manages cloud infrastructure through natural-language commands. One command-line tool supports AWS, Azure, and GCP, with tools for EC2 instances, Lambda functions, S3 storage, CloudWatch logs and metrics, and RDS databases. Its cost optimizer looks for unused Elastic IPs, unattached volumes, and idle resources. A security scanner checks security groups for vulnerabilities and open ports and provides recommendations. The CLI can run commands on EC2 through AWS Systems Manager without SSH access. UniDeploy connects with ServiceNow and Jira for incident management and works with AI models including Bedrock, Anthropic, OpenAI, Gemini, and Ollama. Its MCP server allows compatible clients such as Claude Desktop to call DevOps tools. Supported environments include Linux, macOS, and Windows WSL. The free plan includes 10 AI requests and community support; the paid plan costs $15 a month and lists unlimited AI requests, email support, and 24/7 monitoring. Users bring their own model and pay its provider directly.