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Top Alternatives to PostgreSQL

Looking for PostgreSQL alternatives? We've curated 13 top alternatives that offer similar functionality. Whether you need options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

Open Source More about PostgreSQL
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Platforms:
SQLite

SQLite

Open Source

SQLite is a widely adopted open-source embeddable database engine, known for its serverless architecture, zero configuration, and small footprint.

Key Features

  • Extremely easy to integrate and use due to its serverless and zero-configuration nature.
  • Highly portable; the entire database is stored in a single file.
  • Lightweight with a small footprint and low resource requirements.

vs PostgreSQL

Extremely easy to integrate and use due to its serverless and zero-configuration nature. compared to PostgreSQL
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MongoDB

MongoDB

Open Source

MongoDB is a leading free and open-source NoSQL database, designed for modern applications. It offers a flexible document data model, high performance, and seamless scalability, making it ideal for various use cases from mobile to enterprise applications.

Key Features

  • Flexible document data model allowing for easy schema changes.
  • Excellent horizontal scalability through sharding.
  • High availability and automatic failover with replica sets.

vs PostgreSQL

Flexible document data model allowing for easy schema changes. compared to PostgreSQL
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MariaDB

MariaDB

Open Source

MariaDB is a robust, open-source relational database management system, forked from MySQL. It offers enhanced performance, security, and scalability, making it a popular choice for a wide range of applications, from small websites to large enterprise systems.

Key Features

  • High performance and scalability
  • Excellent compatibility with MySQL
  • Active community and continuous development

vs PostgreSQL

High performance and scalability compared to PostgreSQL
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Microsoft SQL Server

Microsoft SQL Server

Freemium

Microsoft SQL Server is a robust relational database management system offering industry-leading performance, security, and availability. It supports a wide range of data management and analytical applications, from small-scale departmental use to large-scale enterprise deployments.

Key Features

  • Strong performance and scalability
  • Comprehensive security features
  • Excellent high availability and disaster recovery options

vs PostgreSQL

Strong performance and scalability compared to PostgreSQL
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pgAdmin

pgAdmin

Open Source

pgAdmin is a comprehensive open-source administration and development platform designed specifically for PostgreSQL databases. It offers a rich set of features for database management, querying, development, and monitoring, catering to both novice and experienced database professionals.

Key Features

  • Provides a comprehensive graphical interface for PostgreSQL management and development.
  • Deep integration with PostgreSQL features and versions.
  • Open source and actively maintained.

vs PostgreSQL

Provides a comprehensive graphical interface for PostgreSQL management and development. compared to PostgreSQL
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CouchDB

CouchDB

Open Source

Apache CouchDB is a schema-free NoSQL database built for reliability and scalability, particularly in offline-first applications. It emphasizes ease of use and fault tolerance by using a peer-based distribution model and a robust replication mechanism. Its HTTP-based API and JSON document format make it developer-friendly.

Key Features

  • Excellent built-in replication for offline-first and distributed systems.
  • Fault-tolerant architecture handles node failures and network issues.
  • Easy to use for web developers due to HTTP/JSON API.

vs PostgreSQL

Excellent built-in replication for offline-first and distributed systems. compared to PostgreSQL
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ArangoDB

ArangoDB

Open Source

ArangoDB is a highly scalable, multi-model NoSQL database that natively combines document, graph, and key/value data models in a single core. It supports ACID transactions across all data types and offers robust features for developers building complex, data-intensive applications.

Key Features

  • Native multi-model (document, graph, key/value) in a single core.
  • ACID transactions across different data models.
  • Powerful and flexible query language (AQL).

vs PostgreSQL

Native multi-model (document, graph, key/value) in a single core. compared to PostgreSQL
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Oracle Database

Oracle Database

Commercial

Oracle Database is a leading object-relational database management system renowned for its robustness, scalability, and comprehensive features catering to critical business applications and large-scale data management.

Key Features

  • Exceptional performance and scalability for large and complex workloads.
  • High availability and disaster recovery features ensure continuous operation.
  • Comprehensive security framework protects sensitive data.

vs PostgreSQL

Exceptional performance and scalability for large and complex workloads. compared to PostgreSQL
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RethinkDB

RethinkDB

Open Source

RethinkDB is a free and open-source, distributed document database designed for building real-time web applications.

Key Features

  • Excellent real-time data pushing capabilities (changefeeds).
  • Elegant and programmatic query language (ReQL).
  • Flexible JSON document model.

vs PostgreSQL

Excellent real-time data pushing capabilities (changefeeds). compared to PostgreSQL
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Apache Cassandra

Apache Cassandra

Open Source

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

Key Features

  • High availability with no single point of failure.
  • Excellent linear scalability to handle increasing data volumes.
  • Fault-tolerant and resilient to node failures.

vs PostgreSQL

High availability with no single point of failure. compared to PostgreSQL
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CouchBase

CouchBase

Open Source

Couchbase is an open-source, distributed NoSQL cloud database that provides high-performance, flexibility, and scalability for modern applications, optimized for interactive systems requiring low latency and high throughput.

Key Features

  • Excellent performance and low latency due to memory-first architecture.
  • Highly scalable and available through its distributed architecture.
  • Flexible document model (JSON) makes schema evolution easier.

vs PostgreSQL

Excellent performance and low latency due to memory-first architecture. compared to PostgreSQL
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Firebird

Firebird

Open Source

Firebird is a powerful, open-source relational database management system (RDBMS) known for its small footprint, high performance, and low maintenance requirements. It offers support for major ANSI SQL standards, making it a reliable choice for various applications from embedded systems to enterprise solutions.

Key Features

  • Excellent stability and reliability.
  • Very low maintenance requirements.
  • Small footprint and efficient resource usage.

vs PostgreSQL

Excellent stability and reliability. compared to PostgreSQL
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H2 Database Engine

H2 Database Engine

Open Source

H2 Database Engine is a fast, open-source, Java-based relational database management system, ideal for embedded and stand-alone applications. It supports standard SQL and offers both disk-based and in-memory database options.

Key Features

  • Easy to embed and integrate into Java applications.
  • Very fast, especially in in-memory mode.
  • Lightweight with minimal resource requirements.

vs PostgreSQL

Easy to embed and integrate into Java applications. compared to PostgreSQL
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SQLite icon
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MongoDB icon
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MariaDB icon
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Microsoft SQL Server icon
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pgAdmin icon
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CouchDB icon
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ArangoDB icon
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Oracle Database icon
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RethinkDB icon
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Apache Cassandra icon
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CouchBase icon
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Firebird icon
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H2 Database Engine icon
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