45+ PostgreSQL-Compatible Databases Ranked & Compared

Compare PostgreSQL-compatible databases and alternatives — distributed SQL, serverless, and analytical engines that speak the Postgres wire protocol.

Last updated: April 14, 2026
41 databases
1ClickHouse
ClickHouse
46.8k+541 30d

Blazing-fast open-source column-oriented database for real-time analytics and OLAP

Analytics·2016·Apache-2.0·C++
2DuckDB
DuckDB
37.4k+706 30d

Fast in-process analytical database with rich SQL support and zero dependencies

Analytics·2019·MIT·C++
3CockroachDB
CockroachDB
32.0k+148 30d

Distributed SQL database built for cloud-native global applications with serializable isolation

Relational·2015·BSL-1.1·Go, C++
4TimescaleDB
TimescaleDB
22.4k+314 30d

Time-series database for high-performance real-time analytics, packaged as a PostgreSQL extension

Time-Series·2017·Timescale License (Apache-2.0 for core)·C
5Neon
Neon
21.5k+278 30d

Serverless PostgreSQL with separated storage and compute, branching, and scale-to-zero

Relational·2022·Apache-2.0·Rust, C
6QuestDB
QuestDB
16.9k+118 30d

High-performance time-series database with SQL and column-oriented storage for fast analytics

Time-Series·2014·Apache-2.0·Java, C++, Rust
7PGlite
PGlite
15.0k+217 30d

Embeddable WASM Postgres under 3MB with reactivity and live sync

Embedded·2024·Apache-2.0·TypeScript, C
8Gel
Gel
14.1k+29 30d

Graph-relational database on Postgres with EdgeQL, built-in auth, and AI-ready embeddings

Relational·2019·Apache-2.0·Python, Rust
9Citus
Citus
12.4k+74 30d

Distributed PostgreSQL as an extension for multi-tenant SaaS and real-time analytics at scale

Relational·2016·AGPL-3.0·C
10YugabyteDB
YugabyteDB
10.2k+64 30d

PostgreSQL-compatible distributed SQL database with high resilience and geo-distribution

Relational·2017·Apache-2.0·C++, Java
11Deep Lake
Deep Lake
9.1k+48 30d

GPU-native vector and multimodal data lake for AI agents with deep learning integrations

Vector·2020·Apache-2.0·Python, C++
12RisingWave
RisingWave
8.9k+88 30d

Postgres-compatible streaming database for real-time event processing and analytics

Streaming·2022·Apache-2.0·Rust
13H2 Database
H2 Database
4.6k−18 30d

Fast, embeddable Java RDBMS with browser-based console and PostgreSQL compatibility mode

Embedded·2005·MPL-2.0·Java
14Apache AGE
Apache AGE
4.4k+107 30d

PostgreSQL extension that adds graph database functionality with openCypher query support

Graph·2020·Apache-2.0·C
15CrateDB
CrateDB
4.4k+16 30d

Distributed SQL database for real-time analytics on massive datasets with PostgreSQL compatibility

Multi-Model·2014·Apache-2.0·Java
16OrioleDB
OrioleDB
4.0k+21 30d

Cloud-native storage engine for PostgreSQL eliminating bloat, vacuum, and wraparound problems

Relational·2022·Apache-2.0·C
17Alibaba Cloud PolarDB

Cloud-native relational database with MySQL, PostgreSQL, and Oracle compatibility and HTAP capabilities

Relational·2018·proprietary·C, C++
18XTDB
XTDB
3.0k+23 30d

Immutable bitemporal SQL database for time-travel reporting and data compliance

Document·2019·MPL-2.0·Clojure, Java
19PostGIS
PostGIS
2.1k+23 30d

Spatial database extension for PostgreSQL adding geographic object support and geospatial queries

Relational·2001·GPL-2.0·C
20RisingLight
RisingLight
1.8k+11 30d

Educational OLAP database system written in Rust with columnar storage

Analytics·2022·Apache-2.0·Rust
21AgensGraph
AgensGraph
1.5k+7 30d

Multi-model graph database built on PostgreSQL with SQL and Cypher support

Graph·2016·Apache-2.0·C
22Apache Cloudberry

Advanced open-source MPP analytics database forked from Greenplum with a modern PostgreSQL kernel

Analytics·2023·Apache-2.0·C, C++
23openGauss
openGauss
771+5 30d

Huawei's open-source PostgreSQL-derived enterprise RDBMS optimized for ARM and high concurrency

Relational·2020·Mulan PSL v2·C, C++
24OpenTenBase
OpenTenBase
208+11 30d

Enterprise-level distributed HTAP database based on PostgreSQL for hybrid transactional and analytical workloads

Relational·2019·BSD-3-Clause·C
25Firebolt
Firebolt
197+3 30d

Sub-second analytics cloud data warehouse built for high-concurrency, data-intensive applications

Analytics·2021·proprietary·C++
26Greenplum
Greenplum
112+2 30d

Massively parallel processing analytics database built on PostgreSQL for large-scale data warehousing

Analytics·2005·proprietary·C, C++, Python
27SequoiaDB
SequoiaDB
60 30d

Distributed multi-model NewSQL database for financial and enterprise applications in China

Multi-Model·2012·AGPL-3.0·C++
28Alibaba Cloud AnalyticDB for PostgreSQL

MPP cloud data warehouse with PostgreSQL compatibility and vector search capabilities

Analytics·2016·proprietary·C, C++
29Amazon Aurora

MySQL and PostgreSQL-compatible relational database with up to 5x throughput and 99.999% availability

Relational·2014·proprietary
30Amazon Redshift

Petabyte-scale cloud data warehouse with columnar storage and massively parallel processing

Analytics·2013·proprietary
31AntDB

Chinese distributed HTAP database serving telecom-scale workloads with hyper-converged multi-engine architecture

Multi-Model·2014·Apache-2.0·C
32Brytlyt

GPU-accelerated analytics database built on PostgreSQL for millisecond queries on billions of rows

Analytics·2016·proprietary·C++, C
33EDB Postgres Advanced Server

Enterprise PostgreSQL distribution with Oracle compatibility, advanced security, and distributed high availability

Relational·2005·Commercial·C
34Fujitsu Enterprise Postgres

Enterprise-hardened PostgreSQL with advanced security, high availability, and AI capabilities

Relational·2014·proprietary·C
35Google Cloud Spanner

Globally distributed, strongly consistent relational database with unlimited scale and 99.999% availability

Relational·2017·Proprietary·C++
36KingbaseES

China's leading Oracle-compatible enterprise relational database with multi-model support and 99.999% uptime

Relational·1999·proprietary·C, C++
37Netezza

Purpose-built analytics appliance for high-performance data warehousing and advanced analytics

Analytics·2002·Proprietary·C, C++
38OushuDB

Cloud-native MPP data warehouse built on Apache HAWQ for petabyte-scale interactive analytics

Analytics·2016·proprietary·C, C++
39PieCloudDB

Cloud-native virtual data warehouse with elastic massive parallel processing (eMPP) architecture

Analytics·2022·proprietary·C++
40PolarDB for PostgreSQL

Alibaba's cloud-native PostgreSQL with shared-storage architecture and elastic scaling

Relational·2021·Apache-2.0·C
41Yellowbrick

Modern enterprise cloud data warehouse built on Kubernetes for extreme speed and concurrency

Analytics·2014·proprietary·C++

What does Postgres-compatible mean?

A Postgres-compatible database speaks the PostgreSQL wire protocol, so existing PostgreSQL drivers, ORMs (Prisma, SQLAlchemy, Hibernate), and tools (psql, pgAdmin, 1bench) connect without code changes. Compatibility comes in three levels: wire-compatible (speaks the network protocol but may have a different engine underneath, like ClickHouse or RisingWave), SQL-compatible (supports a meaningful subset of PostgreSQL SQL syntax), and feature-compatible (supports extensions, functions, and behaviors like a real PostgreSQL — e.g. CockroachDB, YugabyteDB). The deeper the compatibility, the easier the migration.

Why use a Postgres-compatible database?

Pick a Postgres-compatible alternative when you love PostgreSQL but hit a limit it can't solve alone. CockroachDB and YugabyteDB add automatic horizontal scaling and multi-region deployment while staying SQL-compatible. Neon, Supabase, and AlloyDB add serverless scaling, branching, and managed operations on top of real PostgreSQL. ClickHouse and RisingWave add analytical or streaming query power while letting you use Postgres clients. The huge advantage: your existing application code, drivers, and developer skills transfer directly — no need to rewrite for a new query language or driver ecosystem.

Frequently Asked Questions

What is the difference between Postgres and a Postgres-compatible database?
PostgreSQL is the original open-source relational database — a single mature engine maintained by the PostgreSQL Global Development Group. A Postgres-compatible database is a different engine that speaks the same wire protocol or SQL dialect, allowing existing Postgres clients to connect. The compatible database may add features Postgres lacks (CockroachDB adds distributed SQL, ClickHouse adds columnar analytics, Neon adds serverless scaling) but may also miss specific Postgres features like some extensions or stored procedure behaviors.
Is CockroachDB really Postgres-compatible?
Yes — CockroachDB implements the PostgreSQL wire protocol, so existing Postgres drivers and many Postgres-targeted ORMs work unchanged. SQL syntax compatibility covers most common queries: SELECT, JOIN, transactions, JSONB, and many built-in functions. However, CockroachDB doesn't support all Postgres extensions (no PostGIS, no pgvector natively), some specific syntax differs, and stored procedures use a different model. For most application code, the migration is straightforward; for code that depends on specific extensions, expect refactoring.
Why would I use a Postgres-compatible alternative instead of Postgres?
Three common reasons: scale, operations, or specialized workloads. Use CockroachDB, YugabyteDB, or TiDB when you need horizontal scaling and multi-region replication that single-node Postgres can't deliver. Use Neon, Supabase, or AlloyDB when you want serverless pricing, automatic backups, branching, and managed operations. Use ClickHouse or RisingWave when you need analytical or streaming query performance that Postgres can't match. If your workload fits comfortably on one machine, plain PostgreSQL is usually simpler and faster.
Can I migrate from Postgres to a compatible database without code changes?
For application code: usually yes — drivers, ORMs, and most queries work unchanged. For schema and operational tooling: usually some changes. Postgres extensions like PostGIS, pgvector, or pg_trgm may not be supported. Stored procedures, triggers, and database-specific features (like Postgres' LISTEN/NOTIFY) often need rework. Migration tools like pgdump can transfer data, but each database has its own import recommendations. Always test with your actual workload before committing.
What is the difference between wire-compatible and fully Postgres-compatible?
Wire-compatible means the database speaks the PostgreSQL network protocol — Postgres clients can connect, but the SQL features supported may be a small subset (e.g., ClickHouse supports Postgres wire but its SQL dialect is its own). Fully Postgres-compatible means the database aims to behave like Postgres for most queries and behaviors — distributed SQL databases like CockroachDB and YugabyteDB target this level. Wire-compatible is enough for ingestion or simple queries; full compatibility is required for migrating an existing Postgres application.

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