The autonomous DBA for databases you can't move.

Blast radius · similar-incident recall · AI root cause · Ask PulseDBAi · business-impact scoring · dependency-aware alerting.

7 non-cloud connectors live — ServiceNow · Datadog · Splunk · Prometheus · Kubernetes · GitHub · Jira. Cloud-DB connectors (RDS/Azure/GCP/OCI) deferred by design.

9 forecasters (Oracle + SQL Server) + PostgreSQL, MySQL & MariaDB forecasting · cascading consequences · sudden-collapse detection.

6-layer autonomous remediation · multi-step plan generation · cross-DB coordinated orchestration.

Plan-learning feedback loop · outcome classification · effectiveness scoring · learned vs cold-start plans.

Wait Event Analysis

Deep root-cause analysis of Oracle and SQL Server wait events. Identifies whether the wait is systemic or transient and recommends action.

Blocking Chain Visualization

Maps full blocking trees in real time. Identifies the root blocker, affected sessions, and recommends the lowest-risk resolution.

Explain Plan Viewer

Captures and compares execution plans before and after tuning. Highlights regressions and cost delta with plain-language summaries.

SLA Tracking

Continuous measurement of query and job SLA compliance. Proactively escalates before breaches, not after.

Continuous Pulse Engine

Always-on health monitoring loop. Runs parallel health checks every minute across all monitored instances without agent overhead.

Parallel Health Checks

Concurrent checks for space, performance, security misconfigurations, and job health — completed in a single monitoring cycle.

Live Compliance Posture

Per-database posture against SOC 2, CIS Benchmark, PCI-DSS v4.0, and HIPAA — compliant / non-compliant / not-covered derived from real query results, exportable for auditors. ISO 27001 and NIST next.

ML Space Exhaustion Prediction

Regression models predict tablespace, tempfile, and log exhaustion hours before they occur — eliminating false-urgent night pages.

Natural Language Chat

Ask questions in plain English. Get back structured incident reports, query analysis, and recommended actions — not raw data dumps.

Persona-Driven UI

Different views for DBAs, managers, and executives. Each persona sees the signal that matters to them, not every metric.

Digital Twin — Time-Travel, What-If, Diff, Drift & Compare

Replay your estate up to 30 days back, simulate a change before you make it, diff any two moments, get alerted when it drifts from a known-good baseline, and compare two installs (prod vs staging vs DR) side by side — all computed deterministically on-read from the event log, never materialized.

Autonomous Plans — Closed-Loop, Cross-Database Remediation

Chains your existing autonomous fixes into multi-step remediation plans — each step composed from a real tool, projected before you commit, human-approved as a whole, then executed and verified with a full audit trail. Plans now coordinate ACROSS databases: a single approved plan can fail a primary over to its standby, verify the new primary, refresh statistics on every replica in parallel, and close the change ticket — ordered by your real topology (primary before standby) from the knowledge graph, with per-database status and rollback. No plan runs until a human says go.

Platform Self-Management

One control plane for PulseDBAi itself — a unified CLI and a superadmin screen to check component health, restart services, tail logs, and run verified state-database backups with reversible restore. Daily backups auto-verify with a real dry-run restore and alert on failure. Every action is audited; the CLI and UI map one-to-one.

Learns From Every Action

The platform gets smarter with use. Every plan execution is scored on-read from the audit trail — verify rate, rollbacks, per-tool effectiveness — and that history feeds back into how the next plan is composed: proven tools are preferred, and confidence is backed by real evidence ("based on N similar plans, X% fully verified"). Cold-start plans are labelled honestly, never fake-confident. Compound value grows with usage.

Monitor → Diagnose → Plan → Act. Every autonomous action must clear a configurable confidence threshold before execution. Below threshold: escalate with a fully-formed incident package.

All actions flow through a Model Context Protocol boundary. The AI cannot execute anything outside its defined policy scope — no open-ended shell access, no lateral movement.

Severity classification uses explicit rules, not LLM judgment. P1 is always P1. You can audit every classification decision against the published ruleset.

A regression model separates genuine performance degradation from normal variance. Eliminates the alert storms that come from monitoring tools that flag every deviation.

Oracle, SQL Server, PostgreSQL, MySQL and MariaDB share the same agent architecture, policy model, and reporting layer. One tool, one workflow — every major on-prem SQL engine.

Deployed inside your network perimeter. Your queries and diagnostics never leave your environment. Air-gap compatible for regulated industries.

Oracle Database

Full parity: wait events, blocking chains, tablespace, explain plans, SLA tracking.

SQL Server

Full parity with Oracle support. Shared policy model and reporting layer.

PostgreSQL

Monitored engine — baseline health, capacity & bloat / XID-wraparound / WAL forecasting, and CIS / PCI-DSS / HIPAA compliance posture. Same agent architecture, policy model, and reporting layer as Oracle & SQL Server. Autonomous remediation at parity: blocking-session kill, targeted statistics refresh, autovacuum tuning, bloat reclamation (VACUUM FULL), and online index rebuild — the same 6-layer self-healing model, adapted to Postgres-native mechanisms.

MySQL / MariaDB

One plugin, variant-aware — MySQL and MariaDB share the wire protocol and information_schema; the agent detects the variant at connect. Baseline health, connection / InnoDB buffer-pool / fragmentation / binlog / replication forecasting, and CIS / PCI-DSS / HIPAA compliance posture. Autonomous remediation: blocking-session kill, targeted ANALYZE, proactive OPTIMIZE and online index rebuild — the 6-layer self-healing model adapted to InnoDB (plan-pinning and INVALID-object recompile are honest N/A on this engine).