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
high✓

Event-Driven

Financial Ledger Platform
expert

Financial Ledger

Gaming Backend Platform
high

Realtime Collab

Geospatial Tracking Platform
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
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

Event-Driven Analytics Pipeline→Geospatial Tracking Platform
−4 removed+21 added2 unchanged

Components

5

Event-Driven Analytics Pipeline

18

Geospatial Tracking Platform

2 shared−3+16

Failure Modes

1

Event-Driven Analytics Pipeline

5

Geospatial Tracking Platform

0 shared−1+5

Connections

0

Event-Driven Analytics Pipeline

0

Geospatial Tracking Platform

0 shared

Components

2 shared−3 left only+16 right only
=
PostgreSQLprimary datastore
data management
=
Apache Kafkaevent stream
async processing
−
High-Throughput OLTPworkload
workload
−
Change Data Capture via WALarchitecture pattern
application logic
−
Replication Lag Cascadeoperational risk
operational risk
+
Realtime Collaborationworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
Time-Series Metricsworkload
workload
+
Rediscache
acceleration
+
TimescaleDBsupporting component
application logic
+
Geospatial Indexarchitecture pattern
application logic
+
Write-Behind Cachearchitecture pattern
application logic
+
Time Series Rolluparchitecture pattern
application logic
+
Event-Carried State Transferarchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Backpressurearchitecture pattern
application logic
+
Hot Partitionoperational risk
operational risk
+
Write Amplification Cascadeoperational risk
operational risk
+
Memory Pressure and OOM Killoperational risk
operational risk
+
Slow Consumeroperational risk
operational risk
+
Disk I/O Saturationoperational risk
operational risk

Failure Modes

−1 left only+5 right only
−
Replication Lag Cascade0 nodes affected
moderate
+
Hot Partition0 nodes affected
highhigh
+
Write Amplification Cascade0 nodes affected
highhigh
+
Memory Pressure and OOM Kill0 nodes affected
highhigh
+
Slow Consumer0 nodes affected
moderate
+
Disk I/O Saturation1 nodes affected
highhigh

Connections

Six-Dimension Assessment

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

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

Complexity

← Event-Driven

high complexity, 18 nodes, 0 edges, 5 risks, 1 simulation seeds

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

Operational Risk

← Event-Driven

5 risks (top: high), 4 high/critical, 0 confirmed by simulation

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

Scalability

Geospatial →

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

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

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 10 operational requirements

0 watched metrics, 0 observability recommendations, 0 simulation seeds

Observability

← Event-Driven

2 watched metrics, 5 observability recommendations, 1 simulation seeds

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

Generator Readiness

Geospatial →

generator relevance documented; topology generation relevance noted; simulation relevance noted; 1 seeds with generator notes

Full comparison + decision path →Topology: Event-Driven Analytics Pipeline →Topology: Geospatial Tracking Platform →