Capability 06Data Engineering

Data Architecture & Storage Systems | AIVON Technologies

High-performance relational, vector, and cache data tier design

Data Architecture & Storage Systems | AIVON Technologies System Execution Pipeline

Schema Guardrails ActiveDeterministic Data Flow

01. WriteClient MutationTransactional Payload

02. ACIDPostgreSQL MasterWAL & Schema Validation

03. InvalidateRedis Cache ClearEvent Hook

04. VectorEmbedding QueueAsync Embedder

05. ReadFast ReplicaSub-5ms Query

01. Writeinput

Client Mutation

Transactional Payload

02. ACIDprocess

PostgreSQL Master

WAL & Schema Validation

03. Invalidatedatabase

Redis Cache Clear

Event Hook

04. Vectorapi

Embedding Queue

Async Embedder

05. Readoutput

Fast Replica

Sub-5ms Query

01. Write: Client MutationTransactional Payload

Receives structured write request from application backend.

Architecture Overview

Our data architecture balances ACID transactional compliance, sub-millisecond in-memory caching, semantic vector similarity, and real-time stream aggregation for unified data management.

System Layers & Separation of Concerns

Transactional (OLTP) Layer

Relational Persistence

Enforces strict foreign key constraints, normalized schemas, and ACID transaction safety.

PostgreSQLPrisma ORMConnection PoolingRead Replicas

In-Memory Cache Layer

Fast Access Layer

Caches frequent query lookups, active sessions, and rate-limiting counters in RAM.

Redis ClusterCache Invalidation HooksPub/Sub Broker

Vector & Semantic Layer

Embedding Search

Indexes high-dimensional vector embeddings for instant semantic context retrieval.

pgvector / PineconeCosine Similarity IndexMetadata Filters

Implementation Approach

Normalize transactional schemas to 3NF to eliminate data duplication and corruption.
Index foreign keys and frequent WHERE / ORDER BY filter columns.
Implement connection pooling (PgBouncer) to prevent database connection exhaustion.

Data Integrity First

Data is an organization's most valuable asset. We architect data layers that guarantee transactional accuracy, lightning-fast query execution, and seamless vector intelligence.

Recommended Stack

Primary Database

PostgreSQL 16SupabaseMySQL

Caching & Queues

Redis 7BullMQMemcached

Vector & Search

pgvectorPineconeElasticsearch

Scalability Standards

Separate read traffic to read-replicas, preserving master database CPU for writes.
Table partitioning by time range or tenant ID keeps query indexes small and fast.

Security Benchmarks

Row-Level Security (RLS) policies enforce multi-tenant authorization at the database level.
Automatic daily encrypted backups with point-in-time recovery (PITR).