DBRaven
Start Review →

Architecture Structural Diff

Compare two scenarios node-by-node. See exactly which components, failure modes, and connections are shared, removed (−), or added (+) when switching from the left scenario to the right.

Select Scenarios to Diff

left, removals (−)

AI Retrieval-Augmented Generation Platform
high

AI / RAG

API Gateway Platform
high

Multi-Tenant SaaS

Analytics Data Platform
high

Analytics

Audit and Compliance Platform
high

Financial Ledger

Content Management Platform
moderate

Read-Heavy

Developer Tools Platform
high

Multi-Tenant SaaS

Distributed Job Queue Platform
moderate✓

Write-Heavy

E-Commerce Order Platform
high

Marketplace

Event-Driven Analytics Pipeline
Financial Ledger Platform
expert

Financial Ledger

Gaming Backend Platform
high

Realtime Collab

Geospatial Tracking Platform
high

Realtime Collab

Healthcare Records Platform
expert

Financial Ledger

IoT Telemetry Ingestion Platform
high

Write-Heavy

ML Feature Serving Platform
expert

AI / RAG

Multi-Tenant SaaS Platform
moderate

Multi-Tenant SaaS

Notification Delivery Platform
moderate

Event-Driven

Observability Platform
high

Analytics

Read-Heavy SaaS API
moderate

Read-Heavy

Realtime Collaborative Editor
expert

Realtime Collab

Search-Heavy Content Platform
high

Search-Heavy

Social Feed Platform
high

Event-Driven

Streaming Media Platform
high

Event-Driven

Two-Sided Marketplace Platform
expert

Marketplace

Write-Heavy Transactional Platform
high

Write-Heavy

right, removals (−)

AI Retrieval-Augmented Generation Platform
high

AI / RAG

API Gateway Platform
high

Multi-Tenant SaaS

Analytics Data Platform
high

Analytics

Audit and Compliance Platform
high

Financial Ledger

Content Management Platform
moderate

Read-Heavy

Developer Tools Platform
high

Multi-Tenant SaaS

Distributed Job Queue Platform
E-Commerce Order Platform
high

Marketplace

Event-Driven Analytics Pipeline
high✓

Event-Driven

Financial Ledger Platform
expert

Financial Ledger

Gaming Backend Platform
high

Realtime Collab

Geospatial Tracking Platform
high

Realtime Collab

Healthcare Records Platform
expert

Financial Ledger

IoT Telemetry Ingestion Platform
high

Write-Heavy

ML Feature Serving Platform
expert

AI / RAG

Multi-Tenant SaaS Platform
moderate

Multi-Tenant SaaS

Notification Delivery Platform
moderate

Event-Driven

Observability Platform
high

Analytics

Read-Heavy SaaS API
moderate

Read-Heavy

Realtime Collaborative Editor
expert

Realtime Collab

Search-Heavy Content Platform
high

Search-Heavy

Social Feed Platform
high

Event-Driven

Streaming Media Platform
high

Event-Driven

Two-Sided Marketplace Platform
expert

Marketplace

Write-Heavy Transactional Platform
high

Write-Heavy

Distributed Job Queue Platform→Event-Driven Analytics Pipeline
−20 removed+4 added2 unchanged

Components

17

Distributed Job Queue Platform

5

Event-Driven Analytics Pipeline

2 shared−15+3

Failure Modes

5

Distributed Job Queue Platform

1

Event-Driven Analytics Pipeline

0 shared−5+1

Connections

0

Distributed Job Queue Platform

0

Event-Driven Analytics Pipeline

0 shared

Components

2 shared−15 left only+3 right only
=
PostgreSQLprimary datastore
data management
=
Apache Kafkaevent stream
async processing
−
Batch ETL Pipelineworkload
workload
−
Event Streamingworkload
workload
−
Write-Heavy Transactionalworkload
workload
−
Rediscache
acceleration
−
Temporalsupporting component
application logic
−
Competing Consumersarchitecture pattern
application logic
−
Transactional Outbox Patternarchitecture pattern
application logic
−
Retry with Exponential Backoffarchitecture pattern
application logic
−
Backpressurearchitecture pattern
application logic
−
Circuit Breakerarchitecture pattern
application logic
−
Queue Backlog Accumulationoperational risk
operational risk
−
Partial Service Failureoperational risk
operational risk
−
Deadlockoperational risk
operational risk
−
Slow Consumeroperational risk
operational risk
−
Lock Contentionoperational risk
operational risk
+
High-Throughput OLTPworkload
workload
+
Change Data Capture via WALarchitecture pattern
application logic
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

−5 left only+1 right only
−
Queue Backlog Accumulation2 nodes affected
highhigh
−
Partial Service Failure0 nodes affected
moderate
−
Deadlock1 nodes affected
highhigh
−
Slow Consumer0 nodes affected
moderate
−
Lock Contention1 nodes affected
highhigh
+
Replication Lag Cascade0 nodes affected
moderate

Connections

Six-Dimension Assessment

Structural comparison across complexity, risk, scalability, maturity, observability, and generator readiness.

moderate complexity, 17 nodes, 0 edges, 5 risks, 3 simulation seeds

Complexity

Event-Driven →

high complexity, 5 nodes, 0 edges, 1 risks, 0 simulation seeds

5 risks (top: high), 3 high/critical, 0 confirmed by simulation

Operational Risk

Event-Driven →

1 risks (top: moderate), 0 high/critical, 0 confirmed by simulation

4 scaling thresholds, 3 migration paths, 4 advisor scaling signals

Scalability

← Distributed

3 scaling thresholds, 2 migration paths, 3 advisor scaling signals

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 9 operational requirements

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 5 operational requirements

8 watched metrics, 5 observability recommendations, 3 simulation seeds

Observability

Event-Driven →

0 watched metrics, 0 observability recommendations, 0 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 3 seeds with generator notes

Generator Readiness

← Distributed

generator relevance documented; topology generation relevance noted; simulation relevance noted

Full comparison + decision path →Topology: Distributed Job Queue Platform →Topology: Event-Driven Analytics Pipeline →