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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Pulumi
✓ verifiedFreemium
Infrastructure-as-code platform to define and manage cloud resources in general-purpose languages, with an AI infra agent for teams.
1.9K saves
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Releem
✓ verifiedFree trial
Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.
22K visits/mo5.1K saves
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Middleware
✓ verifiedFreemium
Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.
47K visits/mo713 saves
Pricing
Individual: $0 forever (1 user, 500 deployment minutes, 5M Neo tokens/mo)
Starter: $39/month billed annually (1 database server, or $49/month on-demand)
Scale: $123/month billed annually (up to 5 database servers, or $199/month on-demand)
Hosting: $99/month (up to 9 database servers)
Free trial available
No public pricing
Core features
- ✦IaC in multiple general-purpose languages
- ✦State management for projects, stacks, and environments
- ✦Neo AI infrastructure agent
- ✦Secrets and configuration management
- ✦Registry of 170+ providers and reusable packages
- ✦Insights, governance, and compliance remediation
- ✦Workload-based configuration tuning
- ✦SQL query analytics and optimization suggestions
- ✦Schema optimization (duplicate/unused index detection)
- ✦24/7 automated health and security monitoring
- ✦One-command agent installation
- ✦Human approval required before applying changes
- ✦Infrastructure and application performance monitoring
- ✦Log monitoring with AI insights
- ✦Real user monitoring
- ✦OpsAI SRE agent for detection and auto-fix
- ✦Synthetic and browser testing
- ✦LLM observability
Use cases
- →Provisioning multi-cloud infrastructure programmatically
- →Managing secrets and environment configuration
- →Building internal developer platforms
- →Automating deployments with CI/CD
- →Database teams reducing manual tuning workload
- →Hosting providers optimizing customer databases at scale
- →Engineering teams without a dedicated DBA fixing performance issues
- →AWS RDS users tuning managed database instances
- →Monitor full-stack app and infra health
- →Debug incidents faster with AI
- →Correlate frontend and backend issues
- →Observe Kubernetes and cloud environments
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