Nathan - AI Database Administrator Assistant
Available for Hire Data & Analytics Schema & Migration Engine

Nathan

AI Database Administrator Assistant

Connect Your Database
& Chat in Plain English.

One AI Database Assistant for Analysts, Software Engineers, Product Managers, and DBAs. Turn natural language into optimized SQL, detect slow query bottlenecks, audit schemas, and pull live metrics across PostgreSQL, MySQL, Snowflake, MongoDB & more.

⚙️ 99.9% SRE Uptime · Instant Diagnostics
99.9% System Uptime
Instant Incident Triage
Nathan
Nathan — AI Database Administrator Assistant
Connected • Active
Nathan
Connected to PostgreSQL 16 replica. Schema indexed across 64 tables and 18 million rows. Ready for plain-English queries, EXPLAIN plan analysis, or automated metric reports. What would you like to inspect today?
YOU
Find all active enterprise accounts whose last login was over 30 days ago, calculate total ARR at churn risk, and check if any have open Zendesk tickets.
Nathan

Generated and executed read-only query in 28ms. Found 18 enterprise accounts at churn risk representing $148,500 ARR. 7 accounts have open priority tickets:

SELECT a.id, a.company_name, a.arr, u.last_login_at, COUNT(t.id) AS open_tickets
FROM accounts a
JOIN users u ON u.account_id = a.id AND u.is_admin = true
LEFT JOIN support_tickets t ON t.account_id = a.id AND t.status = 'open'
WHERE a.tier = 'Enterprise' AND u.last_login_at < NOW() - INTERVAL '30 days'
GROUP BY a.id, a.company_name, a.arr, u.last_login_at ORDER BY a.arr DESC;
Export CSV to Slack Send CS Churn Warning View EXPLAIN Plan (0.02ms)
100% Read-Only Safety Mode Zero Model Training on Your Rows Sub-50ms Query Generation 15+ SQL & NoSQL Engines Supported SOC 2 Type II & HIPAA Compliant Private VPC & SSL SSH Tunneling 100% Read-Only Safety Mode Zero Model Training on Your Rows Sub-50ms Query Generation 15+ SQL & NoSQL Engines Supported SOC 2 Type II & HIPAA Compliant Private VPC & SSL SSH Tunneling
Autonomous Capabilities

9 Major Capabilities of Your AI Database Administrator Assistant

Everything your organization needs to eliminate repetitive manual bottlenecks, enforce operational compliance, and accelerate team velocity 24/7.

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
One Assistant • Tailored for 4 Distinct Roles

Built for Every Role Touching Your Database

Instead of writing one-off queries or waiting days for data engineering tickets, every team member chats directly with the database in their native context.

Data Analysts & BI
Software & Backend Devs
Product & BizOps
DBAs & DevOps
Role: Data Analyst & Analytics Engineer

Complex SQL, Cohorts & Instant Data Dictionaries

Ask high-level analytical questions in plain English. The assistant resolves schema relationships, multi-table JOINs, window functions, and CTEs in seconds — then delivers clean tables with instant CSV exports.

"Generate a 12-week cohort retention matrix for users acquired via Google Ads vs Organic Search."
"Calculate Customer Lifetime Value (LTV) grouped by plan tier and payback period in months."
"Find the top 5 product categories with negative margin after factoring refund rates."
"Audit our schema foreign key dependencies and generate a complete Mermaid ER diagram."
DA
Analytics Workspace
PostgreSQL • dbt models & raw events
U
Generate a 12-week cohort retention matrix for users acquired via Google Ads vs Organic Search.
AI

Analysis Complete: Formulated recursive CTE joining users with weekly_activity_logs. Google Ads shows 24.2% Week-12 retention vs 38.6% for Organic Search.

WITH cohorts AS (SELECT DATE_TRUNC('week', created_at) AS cohort_week, id, utm_source FROM users)...
Download Cohort Matrix CSV
Role: Backend & Software Engineers

Query Optimization, Index Profiling & Migration Checks

Paste slow SQL queries or explain plans. The assistant inspects sequential scans, recommends partial and composite indexes, checks ORM query bloat, and verifies zero-downtime schema migrations.

"Analyze this slow 6-table JOIN query with EXPLAIN ANALYZE and suggest missing B-tree indexes."
"Inspect this Prisma migration script for table locking hazards on our 30M row events table."
"Generate a non-blocking CREATE INDEX CONCURRENTLY statement for fast lookups by tenant_id & status."
"Why is this query triggering a sequential scan instead of using our idx_orders_created index?"
DEV
Query Optimization Engine
EXPLAIN ANALYZE • Index Advisor
U
Analyze this slow 6-table JOIN query with EXPLAIN ANALYZE and suggest missing B-tree indexes.
AI

Bottleneck Identified: Sequential scan on order_items (cost=0.00..412,890.12, rows=8,420,000). Adding a composite index drops execution from 4.82s → 12ms (99.7% speedup):

CREATE INDEX CONCURRENTLY idx_items_order_sku ON order_items(order_id, sku) WHERE is_active = true;
Verify Non-Locking Syntax
Role: Product Managers & BizOps

Plain-English Business Metrics Without SQL

Stop waiting on engineering tickets just to pull numbers. Ask questions like you're talking to a colleague: pull live GMV, count feature adoptions, monitor trial conversions, and auto-dispatch Slack digests.

"What was our net GMV and average order value last week broken down by region and device type?"
"How many users tried our new AI summary feature within 48 hours of onboarding?"
"List top 20 accounts nearing their monthly API rate limits with their account executive names."
"Send a daily executive KPI summary of signups, conversions & churn to #product-metrics on Slack."
PM
Product Analytics Copilot
Plain English → Live Results
U
What was our net GMV and average order value last week broken down by region and device type?
AI

Last Week's Performance (Aug 25 - Aug 31):

• North America: $482,100 GMV | $142 AOV (62% Mobile, 38% Desktop)
• Europe (EMEA): $294,400 GMV | $128 AOV (54% Mobile, 46% Desktop)
• Asia-Pacific: $118,200 GMV | $96 AOV (78% Mobile, 22% Desktop)
Send Summary to #exec-team
Role: Database Administrator & SRE

Connection Pools, Deadlocks & Least-Privilege Security

Maintain 99.99% uptime with 24/7 autonomous monitoring. The assistant alerts you to connection pool starvation, identifies transaction deadlocks, monitors replica replication lag, and audits superuser permissions.

"Check PgBouncer connection pool saturation and show active vs idle server connections."
"Find the blocking PID holding table locks on the payments table and causing query timeouts."
"Audit all database roles and list accounts with unmasked PII access or public schema creation."
"Calculate dead tuple bloat on our high-write tables and tune autovacuum vacuum_cost_limit."
DBA
Database SRE Monitor
Health • Locks • Replication Lag
U
Find the blocking PID holding table locks on the payments table and causing query timeouts.
AI

Lock Conflict Detected: PID 48102 has held an ExclusiveLock on payments for 142 seconds. 16 downstream queries are queued behind it.

Blocking Query: ALTER TABLE payments ADD COLUMN provider_ref TEXT;
Safeguard: Require Admin Approval before pg_terminate_backend(48102).
Request Graceful Cancel
Custom AI Employee Studio · 10-Step Builder

Need a Custom AI Database Assistant?
Build & Tailor in 10 Steps

Want custom schema migrations, index optimization, and database replication workflows, proprietary playbooks, bespoke integrations, or specialized business rules? Follow these 10 steps to design, customize, test, and deploy a custom AI Database Assistant tailored precisely to your company's operational motion.

1
Identity
2
Roles
3
Skills
4
Tasks
5
Schedules
6
Workflows
7
Memory
8
HITL
9
Testing
10
Deploy
1
Name & Identity
Give your AI employee a name, department, and operating persona
Start by giving your AI Database Assistant an identity. This is how your team will interact with it across Slack, Microsoft Teams, email threads, and the executive dashboard. Define its department and configure its communication style for peer-to-peer enterprise execution.
Pro tip: Give it a recognizable name like "AI Database Assistant" so team members can mention it in Slack channels just like any other colleague.
Create AI Employee — Identity
DA
Online · Ready to configure
2
Roles & Responsibilities
Define what your AI Database Assistant is accountable for
Establish clear ownership for your AI Database Assistant. Each role maps to a verified set of capabilities, platform connectors, and execution policies. Your AI employee operates with direct accountability — managing end-to-end tasks without requiring human hand-holding.
Pro tip: Start with core departmental responsibilities and expand anytime. Your AI employee learns your company SOPs and coordinates complex workflows continuously.
Assign Roles — AI Database Assistant
Natural Language to SQL
Natural Language to SQL
Query Plan & Index Profiling
Query Plan & Index Profiling
Schema & ERD Discovery
Schema & ERD Discovery
Strict Read-Only Safeguards
Strict Read-Only Safeguards
3
Skills Configuration
Select and configure modular capabilities and tool connectors
Enable modular skills tailored for your operational requirements. Each skill connects to verified enterprise software integrations via secure OAuth2 or API tokens. Toggle skills on or off in one click with zero engineering dependencies.
Pro tip: Every skill comes pre-trained on industry best practices and enforces strict data validation before executing writes to production systems.
Skills Catalog — AI Database Assistant
Natural Language to SQL
Auto-JOINsCTEs
Query Plan & Index Profiling
Window FunctionsEXPLAIN ANALYZE
Schema & ERD Discovery
Index AdvisorCost Profiling
Strict Read-Only Safeguards
Mermaid ERDsData Dictionary
4
Tasks Assignment
Define daily operational deliverables and priority tiers
Specify the daily task backlog your AI Database Assistant will execute. Tasks can run on autonomous schedules or trigger in real-time when team members send requests via chat. Critical items take priority to prevent operational delays.
Pro tip: Set high-impact triage and alert tasks to Critical priority. This guarantees sub-minute reaction times whenever issues or high-priority requests arrive.
Task Backlog — AI Database Assistant
1
Execute natural language to sql audit & status verification
Critical
2
Execute query plan & index profiling audit & status verification
High
3
Execute schema & erd discovery audit & status verification
High
4
Execute strict read-only safeguards audit & status verification
Medium
5
Execute instant charts & slack digests audit & status verification
Medium
5
Schedules & Cron Jobs
Set recurring cron times for autonomous execution
Configure exactly when each recurring process runs using RhinoAgents' enterprise job scheduler. Define cadences in plain English — morning audits, hourly scans, and weekly executive digests. Your AI employee operates around the clock without downtime.
Pro tip: Schedule morning scans prior to office hours. Your team starts each day with resolved requests, updated records, and clean summary briefings waiting in Slack.
Schedule Engine — AI Database Assistant
07:00 AM
Morning operational audit & pending queue scan
Daily
Every 15m
Real-time event ingest, triage & autonomous resolution
Active
01:00 PM
Midday velocity check & SLA milestone verification
Daily
05:30 PM
End-of-day execution recap & exception digest to Slack
Daily
Fri 04:00 PM
Weekly executive analytics & productivity briefing
Weekly
6
Workflows & Automation
Construct visual end-to-end execution pipelines
Build end-to-end automated pipelines connecting triggers, intelligence nodes, decision logic, and tool actions. When events occur, the entire execution flow fires autonomously with built-in rollback protection and complete status logging.
Pro tip: Add conditional branch logic to handle edge cases. High-confidence routine paths run instantly, while high-value actions pause for quick team sign-off.
Visual Workflow — AI Database Assistant
Event Trigger (Auto-JOINs)
Context & Policy Evaluation
Validation Check
Autonomous Action (CTEs)
HITL Approval (if > threshold)
Verified & Logged to Audit Trail
7
Memory & Knowledge Base
Upload company SOPs, manuals, rubrics, and guidelines
Equip your AI Database Assistant with private institutional memory. Upload company handbooks, playbooks, rubrics, API specifications, and style guides. RhinoAgents' vector RAG engine securely indexes these documents to ensure every output strictly adheres to your internal standards.
Pro tip: Upload real past examples of high-performing work. Your AI employee extracts formatting nuances, terminology, and tone directly from your best files.
Knowledge Base — AI Database Assistant
AI Database Assistant Standard Operating Procedures.pdf
Indexed · 48 pages
Indexed
Enterprise Compliance & Quality Rubric.docx
Indexed · 24 rules
Indexed
Historical Benchmark & Best Practice Dataset.xlsx
Indexed · 1,420 rows
Indexed
System Integration & Schema Reference.json
Indexed · 12 endpoints
Indexed
8
Human-in-the-Loop Rules
Configure 1-click approvals for sensitive operations
Maintain rigorous oversight without bottlenecking daily throughput. Define which actions execute autonomously and which require 1-click sign-off from designated team leads in Slack or Microsoft Teams. Full speed where safe, 100% control where critical.
Pro tip: Approvals are delivered as interactive Slack cards. Review context, diffs, and estimated impact, then click Approve or Reject in one second directly from your phone.
HITL Safety Gates — AI Database Assistant
Sensitive State Transitions or High-Value Actions
Requires 1-click team lead approval in Slack before write commit
Approval Required
Routine Data Extraction, Reconciliation & Ingest
Runs autonomously with full cryptographic audit logging
Auto-Run
Out-of-Policy Exceptions or Unmatched Records
Quarantined immediately with incident card dispatched to designated lead
Approval Required
Daily Telemetry & Digest Dispatches
Published to private department channels automatically on schedule
Auto-Run
9
AI Evaluation & Testing
Validate accuracy and test edge cases before deployment
Test your AI Database Assistant against real-world sample prompts, messy data inputs, and edge-case scenarios before granting production write access. Verify that guardrails hold, integrations authenticate, and outputs meet your quality bar.
Pro tip: Run synthetic test conversations across three different difficulty tiers to calibrate accuracy scores and ensure bulletproof reliability.
Test Results — AI Database Assistant
99.2%
Domain Accuracy & Adherence Benchmark
Evaluated against 5,000+ synthetic and historical enterprise prompts
Pass
< 1.8s
End-to-End Processing Latency
Average turnaround time per event ingest and execution cycle
Pass
99.98%
Integration Reliability & Uptime
Continuous automated health checks with auto-retry logic
Pass
Workflow Logic & Gate Verification
All trigger → action → decision → output branches validated
Pass
Multi-Channel Delivery Test
Slack, Teams, Email, and Webhook dispatch latency sub-1.5s
Pass
10
Deploy & Run Your AI Database Assistant
Go live in under 24 hours — full telemetry for $20/mo
Your AI Database Assistant is fully configured and ready to join your team. One-click deploy connects it to your live workspaces. Team members can chat with it immediately, while managers track execution via real-time dashboards and audit logs.
Pro tip: Review telemetry and completed actions at the end of day one. Teams typically report Reclaims 25+ hours/week per operator within the first week of deployment.
AI Database Assistant — Live Console
Deploy AI Database Assistant
Agent Status
Online · Running 24/7
Operational Output
100% operational uptime · Zero-defect execution
Business Impact
Reclaims 25+ hours/week per operator
Audit Log
Complete immutable trail active
Verified Customer Stories

Rated 4.9/5 by High-Growth Organizations

See how leading enterprise teams eliminate manual bottlenecks, enforce compliance, and accelerate output 24/7 with their AI AI Database Administrator Assistant.

-74% Incident MTTR

"Our Mean Time to Resolution (MTTR) fell by 74% within the first two weeks of deployment. Nathan diagnoses production anomalies, correlates stack traces, and drafts PR fixes before engineers wake up."

90% Noise Reduction

"Alert fatigue was destroying our team morale. Nathan filters out the noise, correlates noisy telemetry alerts into single incident graphs, and recommends verified remediations. It's like having a Principal SRE on call 24/7."

Zero Audit Slippage

"SOC 2 and security telemetry audits used to consume weeks of developer hours. Nathan tracks access drifts, verifies least-privilege tokens, and logs every automated remediation with full cryptographic receipts."

Database Administration & Schema Fit

Built for Every Scale of Database Health & Schema Design

From writing optimized PostgreSQL/MySQL migrations to scheduling automated backups and repairing index bloat — keep relational databases resilient 24/7.

Lean Apps • 1–5 DB Instances

Startups & Web Application Developers

Eliminate database downtime. Write safe zero-downtime schema migrations, configure automatic daily backup verification, and identify unindexed foreign keys.

Ideal For
Web App Startups, E-Commerce Stores, Digital Agencies, Mobile Backends
Zero-Downtime Migrations • 100% Verified Backups
Scaling Data • 100GB–5TB Databases

High-Growth Scale-Ups & Transactional Apps

Diagnose database connection pool exhaustion, manage read-replica replication lag, configure automated partition pruning, and maintain high transaction throughput.

Ideal For
FinTech Platforms, B2B SaaS Scale-Ups, On-Demand Delivery Backends
4x Higher Query Throughput • Zero Replication Drift
Enterprise • Multi-TB Sharded Databases

Enterprise Distributed Databases & Clusters

Govern multi-region active-active database clusters, Point-In-Time Recovery (PITR) failovers, automated PII data masking, and SOC 2/HIPAA encryption auditing.

Ideal For
Global Banking Systems, Enterprise Healthcare Databases, Telecommunications
RTO < 5 Mins & RPO < 1 Min • SOC 2 & HIPAA Compliant
Deployed Across Transaction-Critical Databases
Core Banking & Financial Services Electronic Health Records (EHR) High-Volume E-Commerce Catalogs B2B SaaS Multi-Tenant Databases Supply Chain & Logistics Tracking Gaming User Profile & Economy DBs Airline Reservation Backends Identity & Access Management (IAM)
Simple, Transparent Pricing

Start Free. Scale as You Grow.

Transparent pricing with zero per-seat user taxes. Choose the tier that matches your current momentum and deploy your autonomous workforce in minutes.

Free Trial
Experience your first autonomous agent live in production.
$0 / 14 days
  • 1 Autonomous AI Agent Role
  • 1,000 Free Action Credits
  • Core Web & Document Tools
  • Community & Knowledge Base
  • No Credit Card Required
Start Free 14-Day Trial
Starter
Ideal for solo operators, local businesses, and small teams.
$20 / month
  • Up to 3 AI Employee Roles
  • 10,000 Monthly Action Credits
  • Full Knowledge Base (RAG) Sync
  • Calendar, Email & CRM Sync
  • Unlimited Human Teammates
Deploy Starter Agent
Business
For mid-market and enterprise teams commanding custom governance.
$99 / month
  • 10+ Autonomous AI Roles
  • 150,000+ Monthly Credits
  • 400+ Enterprise Connectors
  • SOC 2 Type II & HIPAA Ready
  • Custom VPC & Private Deployments
  • Dedicated SLA & Solution Engineer
Launch Business Tier
14-Day Risk-Free Trial Zero Per-Seat User Taxes Cancel Anytime in 1 Click SOC 2 Type II & HIPAA Ready Live Production in <10 Mins
Frequently Asked Questions

Everything You Need to Know

How do I connect my database to the AI assistant?
You provide a read-only database connection string, VPC peering endpoint, or SSL-encrypted SSH tunnel. The assistant indexes your table schema, foreign keys, and column metadata without storing your underlying raw rows.
Which databases and data warehouses are supported?
RhinoAgents AI Database Assistant natively supports PostgreSQL, MySQL, Snowflake, MongoDB, Google BigQuery, Amazon Redshift & Aurora, Microsoft SQL Server, Oracle Database, ClickHouse, Redis, Supabase, and PlanetScale.
Can non-technical team members ask questions without knowing SQL?
Yes! Product managers, marketing leads, and operations specialists can ask natural language business questions (e.g., "What was our monthly churn by plan tier?") and get instant formatted tables, summaries, and downloadable CSV exports.
Does it execute state-changing queries like UPDATE or DROP?
By default, the assistant operates in strict read-only mode (SELECT). If you choose to grant write permissions for migrations or maintenance, any destructive or state-changing command triggers a strict human-in-the-loop approval gate requiring administrator authorization.
Is our database data secure and kept private?
Yes. We enforce a zero model training guarantee, tenant data isolation, TLS 1.3 encryption, and SOC 2 Type II compliance. Your proprietary database records are never used to train public LLM foundational models.
Who is this AI Database Assistant built for?
This AI employee is built for organizations across 3 primary tiers: (1) Startups & Web Application Developers (Web App Startups, E-Commerce Stores, Digital Agencies, Mobile Backends) — Eliminate database downtime. Write safe zero-downtime schema migrations, configure automatic daily backup verification, and identify unindexed foreign keys.; (2) High-Growth Scale-Ups & Transactional Apps (FinTech Platforms, B2B SaaS Scale-Ups, On-Demand Delivery Backends) — Diagnose database connection pool exhaustion, manage read-replica replication lag, configure automated partition pruning, and maintain high transaction throughput.; and (3) Enterprise Distributed Databases & Clusters (Global Banking Systems, Enterprise Healthcare Databases, Telecommunications) — Govern multi-region active-active database clusters, Point-In-Time Recovery (PITR) failovers, automated PII data masking, and SOC 2/HIPAA encryption auditing.. Key supported industries include Core Banking & Financial Services, Electronic Health Records (EHR), High-Volume E-Commerce Catalogs, B2B SaaS Multi-Tenant Databases, Supply Chain & Logistics Tracking, Gaming User Profile & Economy DBs, Airline Reservation Backends, Identity & Access Management (IAM).
How much does AI Database Assistant cost?
RhinoAgents offers transparent pricing with no per-seat human fees: Free Trial ($0 for 14 days, 1 AI employee, 1,000 credits), Starter ($20/month for up to 3 AI employees, 10,000 credits), Pro ($49/month for up to 5 AI employees, 50,000 credits with persistent memory & Human-in-the-Loop), Business ($99/month for up to 10 AI employees, 150,000 credits with 400+ connectors), and Custom Enterprise plans ($1,000+/month) with dedicated VPC or on-premise deployment. Unlimited human team members can collaborate with the AI employee without paying extra user seat fees.
Free Trial Available

Connect Your Database & Start Chatting in 5 Minutes

Deploy your dedicated AI Database Assistant with 100 Free Execution Credits. Zero setup fees, zero credit card required, and instant connection.