Now available for early access

Isolated Engines. Better Together.

Run PostgreSQL for OLTP and DuckDB for OLAP in isolated workloads that stay connected and collaborate in one managed platform.

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High-performance analytics

Isolated OLTP and OLAP workloads

Fully managed

PROBLEM

When Postgres Does Everything, Both Workloads Suffer

OLTP and OLAP fight for resources when they run on one engine.

Lock contention and slow writes

Analytics queries interfere with transactional throughput.

Scaling costs increase quickly

You overprovision OLTP infrastructure for OLAP spikes.

Warehouse pipelines become mandatory

ETL jobs and duplicated data add lag and complexity.

A single engine is a compromise

One workload gets priority while the other degrades.

Why Choose Duckgresql?

Isolate transactional and analytical workloads, then connect them so both engines collaborate through one platform.

DuckDB

OLAP Powerhouse

Embedded analytical database
Columnar storage for analytics
Massively parallel processing
SQL interface with zero setup

PostgreSQL

OLTP Standard

ACID-compliant transactions
Row-based storage for CRUD
Rich ecosystem & extensions
Proven reliability at scale

Powered by Duckgresql = isolated engines + collaborative workflows

FEATURES

Everything You Need for Hybrid Workloads

Built for teams that need OLTP and OLAP separated for performance, but connected to work as one system.

Driver & SDK Compatibility

Use standard PostgreSQL drivers, and work with an SDK compatible with the DuckDB API for analytical workloads.

Fully Managed

We handle scaling, backups, security, and maintenance. Deploy in seconds and focus on building your application.

Lightning Performance

DuckDB is optimized for analytical workloads, while PostgreSQL handles transactional operations with proven reliability.

Workload Routing Control

Choose whether each operation runs on PostgreSQL (OLTP) or DuckDB (OLAP). Access PostgreSQL via the unified SDK with DuckDB or through standard PostgreSQL drivers.

DuckDB Import & Migration

Import your existing DuckDB data from files or MotherDuck with minimal setup, then keep it connected to your OLTP workflows.

Cross-Engine Query Advisor (Coming Soon)

Run in DuckDB or Postgres. We will tell you when the other engine can do better.

USE CASES

Built for Modern Applications

See how teams combine isolated OLTP and OLAP workloads to build faster, more reliable products.

Analytics Dashboard

Build analytics dashboards over transactional data and get insights with low-latency queries without impacting your production database.

Low-latency query response
Fresh data from PostgreSQL

Mobile App Backend

Power your mobile app with PostgreSQL for user data and transactions, while running complex analytics behind the scenes with DuckDB.

High-concurrency support
Automatic read/write splitting

Data Warehouse Alternative

Use it as an alternative to a separate warehouse when your team wants analytics over operational data with less complexity.

Lower infrastructure and pipeline overhead
Fewer ETL steps and data copies

AI/ML Feature Store (Coming Soon)

Planned capability: store training data in PostgreSQL, compute features with DuckDB, and serve predictions from one platform.

Feature engineering at scale
Online/offline feature consistency

Ready to Transform Your Database?

Build with isolated transactional and analytical engines that collaborate in real time from one platform.