For Database Reliability Engineers (DRE / DBRE)
An investigation team that never sleeps
Specialized agents for query, schema, config, cost, health, and regression run continuously against every connected instance and surface root cause, not just a spike on a graph. The query plan that regressed three deploys ago gets caught and explained before it pages anyone.
Fixes that arrive pre-proven
Every proposed fix, index, or config change is benchmarked on an instant, production-like clone before it reaches you: before and after numbers, resource deltas, and a plain-language explanation. You review evidence, not a guess.
An assistant that keeps you in control
DBGorilla does the routine work. It drafts the migration plan, validates the query, runs the benchmark. You decide what ships. One team gave their entire engineering org direct access to DBGorilla inside their IDE, taking routine questions and fixes off the senior engineer plate so they could spend that time on the deeper database work only they can do.
Everything you know about this database, kept
The runtime accumulates what it learns about your specific schemas, workloads, and past incidents, so the context you have built up over years is not stuck in your head alone, and does not reset every time someone new joins the team.
Symptom: Query latency up 340% on the orders table, rising for 6 days.
Root cause: Missing index on (tenant_id, created_at) after last week migration; sequential scan cost rising past 40M rows; autovacuum behind, dead tuples at 22%.
Validated fix: Composite index benchmarked on a clone. Query time drops from 3.8s to 40ms, zero lock contention.
Recommendation: Apply the composite index. Validated on a clone and ready for your go-ahead.
Priority: High. Affects the checkout read path.
For SREs & Platform Teams
Your SREs do not need to become database experts. They need a faster way to understand whether the database is involved, what is being affected, and what should happen next. DBGorilla brings database-level context directly into the incident investigation. It examines the behavior behind the alert, identifies the queries and changes that matter, and returns a clear explanation your team can use to resolve the issue or escalate it with the right evidence.
Know whether the database is actually involved: Database symptoms often look like application, infrastructure, or deployment problems. DBGorilla investigates the underlying behavior so your team can stop chasing every possible cause at once.
See the cause and the impact together: DBGorilla connects performance changes to the queries, workloads, schema changes, configuration changes, and deployments surrounding them. Your team sees what changed, what it affected, and why it matters.
Give responders a concrete next step: An investigation should not end with another dashboard. DBGorilla explains the likely cause, shows the evidence, and recommends what to examine or change next.
Escalate with context, not a blank page: Some incidents still need a DRE. When they do, DBGorilla gives the DRE an investigation to review instead of starting from zero.
Keep the investigation after the incident ends: DBGorilla produces a structured record of the affected queries, likely cause, evidence, and recommended action, ready for the postmortem.
See a DBGorilla investigation
Without DBGorilla
An alert fires and the database is one of several suspects. Your on-call checks app metrics, dashboards, deploys, and DB logs. The symptoms are visible but the explanation is not, so they keep digging across tools or bring in a DRE to start over.
With DBGorilla
DBGorilla investigates the behavior behind the alert and returns the context: what changed, which queries are affected, the likely cause, and what to do next. Your on-call resolves it with evidence or escalates with a focused investigation in hand.
For Engineering Leaders
Database inefficiency rarely appears as one obvious expense. It shows up as larger instances, higher resource consumption, more tools, and senior engineers pulled into work that should not require senior attention. DBGorilla finds the database work driving those costs, validates a better approach, and gives your team the evidence to act.
1
Lower infrastructure costs
Your database should not need more CPU, memory, and I/O because a handful of queries, indexes, or configurations make it work harder than necessary. DBGorilla finds the work consuming disproportionate resources, recommends a targeted change, and validates it on a clone before production. Within 24 hours, one customer reduced the measured execution cost of its highest-cost query by 30%.
2
Consolidate tooling spend
Database performance work is spread across monitoring platforms, query tools, migration reviews, and manual investigation. DBGorilla brings investigation, recommendation, validation, and evidence into one workflow. And because it is not priced per seat, access expands across engineering without another license every time.
3
Reclaim engineering time
Every routine database issue that reaches a senior engineer carries a people cost. DBGorilla gathers context, finds the likely cause, tests on a clone, and documents the evidence. Engineers review and approve instead of rebuilding the investigation. Senior talent stays on architecture and high-risk decisions.
See the total cost, not one isolated metric
Every DBGorilla investigation produces a measurable before and after: query performance improved, resources reduced, capacity recovered, and investigation time saved.
See where your database is costing you
Before, a stack of point tools
Monitoring and observability: $70+/cluster/mo, monitoring only
Per-seat database tooling: roughly 10 to 25 dollars per engineer, every month
Migration and query review: additional monthly cost
After, one platform
DBGorilla Business: $105/month for 3 clusters (up to 100 databases each)
The whole team, no per-seat fees
Full AI agent plus unlimited query optimization
Clone validation plus Slack delivery
One prevented P1 incident pays for years of DBGorilla Business at $105/month.
Tier
Price
What’s included
Free
$0
1 single-host cluster (up to 100 databases), EXPLAIN analyzer, schema linter, one-shot index suggestions, 7-day retention, community support
Pro
$35/cluster/mo billed annually ($50 monthly)
Full agent capabilities, regression detection, index impact simulator, natural-language query, 2,000 Gorilla Credits per month, email support
Business
$105/mo for 3 clusters, then $50 each
Everything in Pro plus 180-day retention, team collaboration, enterprise SSO, audit logging, 25 DB clones per month, 8,000 Gorilla Credits per month, 24h support
Enterprise
Custom
Unlimited clusters and databases, 365 plus day retention, dedicated and on-prem deployment, SSO plus SCIM plus custom roles, SOC 2 support, named CSM with 24x7 SLA
Talk to sales about Enterprise
We will connect DBGorilla to your databases and show you exactly what it finds. No commitment. No sales pitch. Just your data.
DBGorilla
The world’s leader in Agentic Database Operations