Open-Source Databases · polardb

PolarDB-for-PostgreSQL

PolarDB for PostgreSQL is a cloud-native database built by Alibaba Cloud that extends PostgreSQL with a compute-storage separation architecture. It offers flexible scaling, low-latency replication, and hybrid OLTP/OLAP (HTAP) processing on shared storage.

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Source: GitHub — github.com/polardb/PolarDB-for-PostgreSQL

3.2k

GitHub stars

520

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	polardb/PolarDB-for-PostgreSQL
Owner	polardb
Primary language	C
License	Apache-2.0 — OSI-approved
Stars	3.2k
Forks	520
Open issues	56
Latest release	v17.10.1.0 (2026-05-30)
Last updated	2026-07-08
Source	https://github.com/polardb/PolarDB-for-PostgreSQL

What PolarDB-for-PostgreSQL is

PolarDB implements PostgreSQL compatibility with separated compute and storage layers using LogIndex for WAL metadata synchronization and lazy/parallel replay. It provides both standalone execution for OLTP and distributed MPP execution for OLAP, supporting vector, spatio-temporal, and GIS data types.

Quickstart

Get the PolarDB-for-PostgreSQL source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/polardb/PolarDB-for-PostgreSQL.git2cd PolarDB-for-PostgreSQL3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Large-scale cloud deployments requiring independent compute/storage scaling

Organizations needing to scale compute clusters without duplicating storage or vice versa benefit from PolarDB's decoupled architecture. Ideal for workloads with variable demand on CPU vs. I/O resources.

HTAP workloads mixing transactional and analytical queries

Applications requiring real-time analytics alongside OLTP operations can leverage PolarDB's MPP engine to accelerate analytical queries without separate ETL pipelines or data warehouses.

PostgreSQL-compatible systems needing millisecond replication latency

Environments requiring read replicas with minimal lag (via LogIndex metadata replication) benefit from PolarDB's architecture versus traditional shared-nothing PostgreSQL clustering.

Implementation considerations

Deployment requires Docker or advanced multi-node infrastructure setup; standard local compilation is supported but cloud deployment is primary use case.
LogIndex and MPP engine configuration must be tuned for workload type (OLTP vs. OLAP); default configurations may not be optimal for mixed workloads.
Shared storage backend (not specified in documentation) must be provisioned and sized for concurrent read-write and replica replay I/O; storage bottlenecks can negate compute scaling benefits.
Read-only node management and automatic failover behavior require operational discipline; documentation recommends reviewing architecture before deployment.

When to avoid it — and what to weigh

Requiring commercial support and SLAs from a non-Alibaba vendor — PolarDB is developed and maintained by Alibaba Cloud. Commercial support, SLAs, and enterprise services must be negotiated directly with Alibaba or verified through their cloud offering.
Simple, single-node PostgreSQL requirements — PolarDB is optimized for cloud-native, distributed scenarios. Simpler monolithic deployments do not justify the operational complexity and may be better served by standard PostgreSQL.
Strict on-premises-only deployments without Alibaba cloud infrastructure — PolarDB is designed around Alibaba's shared storage architecture and cloud deployment model. Deploying on-premises or on non-Alibaba clouds requires custom engineering.
Ecosystem requiring proprietary or non-standard PostgreSQL extensions — While PostgreSQL compatible, PolarDB's cloud-native design may not support all third-party extensions or specialized PostgreSQL forks without modification.

License & commercial use

PolarDB for PostgreSQL is released under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license. The project is built on PostgreSQL (PostgreSQL License). NOTICE file documents third-party components under various open source licenses.

Apache-2.0 permits commercial use, modification, and distribution with attribution and liability disclaimer. However, this project is Alibaba Cloud–maintained. Commercial support, SLAs, production deployment assistance, and vendor indemnification must be clarified with Alibaba; open-source license alone does not provide commercial guarantees. Requires review for enterprise use.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	High
DEV.co fit	Good
Assessment confidence	High

Security considerations

Project does not publish security audits or vulnerability disclosure policy in provided data. Standard PostgreSQL security practices (authentication, encryption, access control) apply and inherit from PostgreSQL baseline. Shared storage backend security (encryption, access controls) depends on underlying infrastructure and is not detailed. No security claims made; evaluate against your threat model and compliance requirements.

Alternatives to consider

Apache Citus (PostgreSQL extension)

Provides distributed OLTP via sharding on standard PostgreSQL; simpler operational model if you do not need HTAP MPP or millisecond replica latency.

Google CloudSQL for PostgreSQL / Amazon RDS PostgreSQL

Managed PostgreSQL with built-in replication and scalability; avoids PolarDB's custom architecture learning curve if PostgreSQL standard features suffice.

Greenplum (Pivotal/Broadcom)

Mature MPP OLAP database with PostgreSQL dialect; better for dedicated analytics workloads but not cloud-native compute-storage separation.

Software development agency

Build on PolarDB-for-PostgreSQL with DEV.co software developers

PolarDB is best suited for cloud-native, large-scale deployments with HTAP or high-replication-fidelity requirements. Assess compatibility with your PostgreSQL workload, verify shared storage availability, and clarify support options with Alibaba before production use.

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PolarDB-for-PostgreSQL FAQ

Is PolarDB 100% PostgreSQL compatible?

PolarDB is documented as 100% compatible with PostgreSQL API and SQL. However, compatibility is at the protocol and dialect level; deployment model, replication behavior, and cloud-native features differ significantly from standard PostgreSQL. Test your workload.

What is the shared storage backend?

Not clearly stated in provided documentation. PolarDB's architecture assumes a shared storage layer; specifics (e.g., NAS, object storage, proprietary) are likely detailed in Alibaba Cloud deployment docs. Verify storage SLAs and cost with your cloud provider.

Can I run PolarDB on-premises or on non-Alibaba clouds?

PolarDB is optimized for Alibaba Cloud infrastructure. On-premises or alternative-cloud deployments require custom engineering. Evaluate feasibility with Alibaba support before committing.

What is the production readiness and support model?

PolarDB is production-ready on Alibaba Cloud as part of their managed service. For open-source self-managed deployment, community support is available via GitHub and DingTalk. Commercial SLA/support requires Alibaba Cloud agreement.

Software developers & web developers for hire

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If PolarDB-for-PostgreSQL is part of your open-source databases roadmap, our team can implement, customize, migrate, and maintain it.

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