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MongoDB VS Postgres-XC

Compare MongoDB VS Postgres-XC and see what are their differences

MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Postgres-XC

Free, secure and fast downloads from the largest Open Source applications and software directory - SourceForge.net

Rating
0 reviews
Alternatives Is it good?
RealityMAX
RealityMAX is the full-stack, AI-powered product visualization platform, 100% online. Turn any image into 3D in seconds, enhance your visuals with AI, and download your work or share it as interactive 3D or AR in a snap, without a line of code. sponsored

Which is more popular?

Based on our record, MongoDB seems to be more popular. It has been mentioned 18 times since March 2021.

social mentions
18 vs 0
Databases popularity
98% vs 2%
alternatives listed
240+ vs 17

Base details

Website, pricing, platforms and company facts side by side.

MongoDB
Postgres-XC
Website mongodb.com sourceforge.net
Pricing
Open source
—
Listed in
NoSQL Databases Databases Document Databases Relational Databases +1
Databases NoSQL Databases Relational Databases Document Databases +1

Features and specs

What each product offers, as listed by its team.

MongoDB 8 features
Postgres-XC 0 features
  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

MongoDB
Postgres-XC

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

Overall verdict

  • Postgres-XC is a discontinued open-source project that provided write-scalable, multi-master synchronous PostgreSQL clustering, but it has been superseded by newer forks and is no longer actively maintained, making it a poor choice for new deployments today.

Why this product is good

  • Was one of the earliest solutions to add horizontal write scalability to PostgreSQL through a distributed architecture
  • Offered multi-master synchronous replication allowing reads and writes from any node
  • Maintained strong consistency (ACID compliance) across the cluster, unlike many NoSQL alternatives
  • Inspired successor projects like Postgres-XL and later influenced Citus and other distributed Postgres solutions
  • Free and open-source, allowing full inspection and modification of the codebase

Recommended for

  • Users researching the historical evolution of distributed PostgreSQL architectures
  • Legacy systems still running Postgres-XC that need maintenance knowledge
  • Developers evaluating old codebases before migrating to actively maintained alternatives like Postgres-XL, Citus, or YugabyteDB
  • Not recommended for new production deployments due to lack of updates, security patches, and community support

Videos

Walkthroughs and reviews on video.

MongoDB 3 videos + Add
Postgres-XC 0 videos + Add

MySQL vs MongoDB

More videos

  • - The Good and Bad of MongoDB
  • - what is mongoDB

No Postgres-XC videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
MongoDB
Postgres-XC
98% 98%
Databases
2% 2%
98% 98%
NoSQL Databases
2% 2%
96% 96%
Relational Databases
4% 4%
100% 100%
Development
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

MongoDB no reviews yet
Postgres-XC no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

MongoDB 18 mentions
Postgres-XC 0 mentions
  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to... - Source: dev.to / over 1 year ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / about 2 years ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / about 2 years ago

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Tracking Postgres-XC since Mar 2021.

Alternatives to MongoDB and Postgres-XC

When comparing MongoDB and Postgres-XC, you can also consider the following products.

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