One Database for Everything

Replace your complex multi-database architecture with a single unified PostgreSQL platform. Handle OLTP, OLAP, vector search, graph queries, time-series, and cachingβ€”all in one place.

The Multi-Database Problem

Most teams end up managing a complex web of specialized databases

🐘
PostgreSQL
OLTP
πŸ”
Elasticsearch
Search
πŸ“Š
ClickHouse
Analytics
πŸ”΄
Redis
Cache
πŸ•ΈοΈ
Neo4j
Graph
🧠
Pinecone
Vector

Operational Complexity

  • β€’ 6+ different systems to manage
  • β€’ Multiple deployment pipelines
  • β€’ Different backup strategies
  • β€’ Separate monitoring tools

Data Inconsistency

  • β€’ ETL delays between systems
  • β€’ Data sync failures
  • β€’ Inconsistent schemas
  • β€’ Eventual consistency issues

High Costs

  • β€’ Multiple licenses and subscriptions
  • β€’ Specialized expertise required
  • β€’ Data transfer costs
  • β€’ Infrastructure overhead

The Vela Solution

One PostgreSQL instance that handles every workload type

Unified PostgreSQL Platform

All workloads, one database, native PostgreSQL

⚑
OLTP
Native
πŸ“Š
OLAP
Optimized
πŸ”
Search
Full-text
🧠
Vector
pgvector
πŸ“ˆ
Time Series
TimescaleDB
πŸ•ΈοΈ
Graph
Apache AGE

Simplified Operations

  • Single system to manage and monitor
  • One backup and recovery strategy
  • Unified security and access control
  • Single deployment pipeline

Data Consistency

  • ACID transactions across all workloads
  • Real-time data, no ETL delays
  • Single source of truth
  • Consistent data models

Cost Efficiency

  • 60-80% cost reduction
  • Single license and subscription
  • Reduced operational overhead
  • No data transfer costs

All Workloads in Action

See how different use cases work seamlessly together

E-commerce Platform Example

1

OLTP: Order Processing

Handle millions of transactions per day with ACID guarantees

2

Search: Product Discovery

Full-text search across product catalogs and descriptions

3

Vector: Recommendations

AI-powered product recommendations using embeddings

4

OLAP: Business Intelligence

Real-time sales analytics and customer behavior analysis

IoT Platform Example

1

Time Series: Sensor Data

High-frequency ingestion of IoT sensor measurements

2

OLTP: Device Management

Device registration, configuration, and status tracking

3

Graph: Network Topology

Model device relationships and network connections

4

OLAP: Predictive Analytics

Real-time analysis for predictive maintenance

Migration Made Simple

Migrate gradually from your existing multi-database setup

1

Start with Core OLTP

Begin by migrating your primary PostgreSQL workloads to Vela for immediate performance gains.

2

Add Analytics Workloads

Replace your data warehouse or analytics database with Vela's unified OLAP capabilities.

3

Consolidate Specialized DBs

Migrate vector, search, and time-series workloads to complete your unified platform.

Ready to Simplify Your Data Architecture?

See how Vela can replace your complex multi-database setup with a single, high-performance PostgreSQL platform.