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MangoDB VS Datomic

Compare MangoDB VS Datomic and see what are their differences

MangoDB logo MangoDB

MangoDB is going to be a perfect solution for those looking for MongoDB development experience available as fully Open Source Software.

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database
  • MangoDB Landing page
    Landing page //
    2022-02-02
  • Datomic Landing page
    Landing page //
    2023-09-14

MangoDB features and specs

No features have been listed yet.

Datomic features and specs

  • Immutability
    Datomic employs an append-only data model where data is never overwritten but instead appended, ensuring historical data is always available and providing strong consistency.
  • Time Travel Queries
    Datomic allows you to query the database as of any point in time, facilitating auditing and debugging by allowing easy access to historical data states.
  • Rich Data Model
    Supports complex data types like maps and sets directly within its schema, providing a flexible way to represent data.
  • ACID Transactions
    Datomic supports fully ACID-compliant transactions, ensuring reliable and predictable database operations.
  • Scalability
    Separates storage and compute, allowing for horizontal scaling of read operations, making it suitable for handling large datasets.
  • Query Flexibility
    Offers a powerful query language that supports recursive queries, making it suitable for complex data retrieval needs.

Possible disadvantages of Datomic

  • Complexity
    The architecture of Datomic can be complex to understand and implement, particularly for teams unfamiliar with its design principles.
  • Cost
    Can be expensive to operate, especially in a cloud environment, where costs increase with the amount of data stored and the compute resources required.
  • Limited Write Throughput
    Due to its append-only design, Datomic can have limited write throughput, which may not be suitable for applications with heavy write requirements.
  • Closed Source
    Datomic is a proprietary database system, which may not appeal to organizations that prefer open-source solutions.
  • Learning Curve
    Requires a learning curve as its conceptual model and query language are different from traditional databases, potentially requiring additional training.
  • Dependency on AWS
    Relying on AWS ecosystem for the storage backend can limit choices for deployment environments, impacting flexibility.

MangoDB videos

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Datomic videos

KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

More videos:

  • Review - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • Review - Rich Hickey on Datomic Ions, September 12, 2018

Category Popularity

0-100% (relative to MangoDB and Datomic)
Databases
12 12%
88% 88
NoSQL Databases
21 21%
79% 79
Relational Databases
11 11%
89% 89
Network & Admin
0 0%
100% 100

User comments

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What are some alternatives?

When comparing MangoDB and Datomic, you can also consider the following products

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

MySQL - The world's most popular open source database

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

SQLite - SQLite Home Page

Matisse - Matisse is a post-relational SQL database.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.