What is Distributed PostgreSQL?

What is Distributed PostgreSQL? (SubTitle)

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Section1: What is a distributed database?

What is a distributed database? (sub-title)

Include below if relevant or in FAQ 

 ‘What is distributed relational database?’ ‘What is distributed database in dbms’

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Section 2: Is PostgreSQL a distributed database?

Is PostgreSQL a distributed database? (Subtitle)

[The content under each section is a suggestion. Feel free to change it] PostgreSQL, in its traditional form, is not inherently a distributed database system. It's primarily designed as a single-node relational database management system (RDBMS). However, with the introduction of features like Foreign Data Wrappers (FDWs), logical replication, and streaming replication, PostgreSQL has gained capabilities that enable it to function in distributed environments to some extent.

 

While these features allow PostgreSQL to interact with data sources external to the database itself, such as other PostgreSQL instances, databases of different types, or even non-database sources, they don't inherently transform PostgreSQL into a fully distributed database system. True distributed database systems are specifically engineered to distribute data across multiple nodes, with built-in mechanisms for replication, partitioning, and coordination among nodes to ensure consistency, fault tolerance, and scalability.

 

That said, PostgreSQL can be part of a distributed architecture when combined with other technologies or when used in conjunction with distributed database extensions or solutions like EDB Postgres Distributed (PGD). These extensions provide the necessary functionalities to transform PostgreSQL into a distributed database system, allowing organizations to scale horizontally across multiple nodes, achieve high availability, and distribute data across geographically dispersed locations while leveraging PostgreSQL's rich feature set and SQL compatibility.

Section 3: Understanding Distributed PostgreSQL

Understanding Distributed PostgreSQL (subtitle)

Distributed PostgreSQL, also known as EDB Postgres Distributed or PGD, is a powerful extension of EnterpriseDB's PostgreSQL database management system. It leverages the flexibility and robustness of PostgreSQL while introducing innovative features to address the complexities of modern data management.

At its core, Distributed PostgreSQL empowers organizations to scale their database infrastructure horizontally across multiple nodes, both on-premises and in the cloud. By distributing data and workload across a cluster of servers, organizations can achieve unparalleled scalability, high availability, and fault tolerance, ensuring uninterrupted access to critical data even in the face of hardware failures or sudden spikes in demand.

EDB Postgres Distributed (PGD) provides multi-master replication and data distribution with advanced conflict management, data-loss protection, and throughput up to 5X faster than native logical replication

Section 4: Key Features and Benefits of Distributed Postgres

Extreme high availability minimizes downtime and provides access to data and applications - even through major version upgrades.

Icon Scalability

Horizontal Scalability


With Distributed PostgreSQL, organizations can easily scale their database infrastructure by adding or removing nodes to accommodate fluctuating workloads. This horizontal scaling approach ensures optimal resource utilization and enables seamless expansion as business needs evolve.

Icon High Availability

High Availability and Fault Tolerance


Distributed PostgreSQL employs advanced replication and data distribution techniques to ensure high availability and fault tolerance. Data is replicated across multiple nodes in the cluster, allowing for automatic failover and continuous operation in the event of hardware failures or network disruptions.

Icon Performance

Improved Performance


By distributing data and workload across multiple nodes, Distributed PostgreSQL enhances query performance and reduces latency. This distributed architecture enables parallel processing of queries, resulting in faster response times and improved overall performance for critical applications.

Icon Distribution

Global Data Distribution


Distributed PostgreSQL supports geo-distribution, allowing organizations to deploy database clusters across multiple geographic regions. This enables data localization, compliance with data sovereignty regulations, and improved performance for users accessing data from different parts of the world.

Icon Centralized Management

Centralized Management


EnterpriseDB provides robust tools and management utilities to simplify the deployment, configuration, and monitoring of Distributed PostgreSQL clusters. From centralized management consoles to automated provisioning and monitoring capabilities, organizations can efficiently manage their distributed database infrastructure with ease.

Section 5: Distributed PostgreSQL Architecture

Distributed PostgreSQL Architecture (Subtitle)

Compare Pros and Cons of Distributed Database Architectures

  • Pro
  • Pro
  • Pro
  • Con
  • Con
  • Con

Section 6: PostgreSQL vs Distributed PostgreSQL

(Table OR chart)

Section 7: Examples of Distributed Postgres AND/OR How can EDB Postgres Distribution Help

Examples of Distributed Postgres AND/OR How can EDB Postgres Distribution Help (Subtitle)

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Section 8: Factors for choosing Distributed Postgres

Factors for choosing Distributed Postgres (Subtitle)

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Section FAQ

Section FAQ (Description)

  • What is EDB Postgres Distributed?

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  • Is Postgres distributed?

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  • What is a distributed relational database?

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  • Postgres extensions for distributed

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  • What does a distributed Postgres database architecture look like?

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  • What are architecture options for distributed PostgreSQL?
  • Compare Pros and Cons of Distributed Database Architectures

    (similar to https://www.crunchydata.com/blog/an-overview-of-distributed-postgresql-architectures)

    • Network-attached block storage (e.g. EBS)
    • Read replicas
    • DBMS-optimized cloud storage (e.g. Aurora)
    • Active-active (e.g. BDR)
    • Transparent Sharding (e.g. Citus)
    • Distributed key-value stores with SQL (e.g. Yugabyte)

Section 9: Related Content (3-4 assets)

Related Content (3-4 assets) - subtitle