Run both OLTP and OLAP workloads on a single PostgreSQL instance. Eliminate data silos, reduce infrastructure complexity, and get real-time analytics without ETL pipelines.
Eliminate the complexity of managing separate OLTP and OLAP systems
Run transactional and analytical workloads on the same PostgreSQL instance. No data movement required.
Query live operational data without ETL delays. Get insights as your data changes.
1.8x faster than ClickHouse, 4.2x faster than standard Postgres for analytical queries.
See how Vela's unified approach outperforms specialized OLAP systems
| Database | Query Time (avg) | Concurrent Users | Data Freshness | Setup Complexity |
|---|---|---|---|---|
| Vela Postgres Unified | 0.8s | 500+ | Real-time | Single DB |
| ClickHouse | 1.4s | 300 | Batch ETL | Complex |
| Standard Postgres | 3.4s | 100 | Real-time | Single DB |
| BigQuery | 2.1s | 1000+ | Batch ETL | Cloud Lock-in |
See how teams use Vela for unified OLTP/OLAP workloads
Build live dashboards that query operational data directly. No ETL delays, no data staleness.
Analyze customer behavior and transactions as they happen, without moving data to separate systems.
Generate financial reports and analytics on live transactional data with guaranteed consistency.
Handle high-velocity IoT data ingestion while running complex time-series analytics simultaneously.
Vela's architecture optimizations make OLAP queries fast without sacrificing OLTP performance
Automatically identifies OLTP vs OLAP queries based on patterns and complexity.
Dynamically allocates compute and memory resources based on query type.
Uses columnar storage and vectorized execution for analytical workloads.
Eliminate the complexity of managing separate OLTP and OLAP systems. Get real-time analytics on live data with Vela.