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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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Doctor Droid
✓ verifiedPaid
Self-learning AI SRE agent that maps your stack into a knowledge graph to speed incident response and root-cause analysis.
3.5K 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
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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
Pricing
Teams: $99/mo (99 investigation credits, top-up $1/credit, 14-day trial)
Free trial available
No public pricing
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
Core features
- ✦Cross-tool knowledge graph of your stack
- ✦Automated incident investigation and RCA
- ✦Alert correlation and blast-radius tracing
- ✦Runbook/knowledge grounding with cited sources
- ✦80+ integrations across cloud, code, telemetry
- ✦Self-hosted/VPC option, SOC 2 Type II
- ✦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
- ✦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
Use cases
- →Faster incident response and RCA
- →Reducing MTTR for on-call teams
- →Automating remediation and runbooks
- →Cutting alert noise and tab-hopping
- →Monitor full-stack app and infra health
- →Debug incidents faster with AI
- →Correlate frontend and backend issues
- →Observe Kubernetes and cloud environments
- →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
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