Software Alternatives, Accelerators & Startups

Datomic VS Ontotext Graph DB

Compare Datomic VS Ontotext Graph DB and see what are their differences

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database

Ontotext Graph DB logo Ontotext Graph DB

Graph DB is a semantic graph database that serves organizations to store, organize and manage content.
  • Datomic Landing page
    Landing page //
    2023-09-14
  • Ontotext Graph DB Landing page
    Landing page //
    2023-10-01

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.

Ontotext Graph DB features and specs

No features have been listed yet.

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

Ontotext Graph DB videos

No Ontotext Graph DB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Datomic and Ontotext Graph DB)
Databases
80 80%
20% 20
NoSQL Databases
63 63%
37% 37
Relational Databases
100 100%
0% 0
Network & Admin
100 100%
0% 0

User comments

Share your experience with using Datomic and Ontotext Graph DB. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Datomic and Ontotext Graph DB, you can also consider the following products

MySQL - The world's most popular open source database

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

Matisse - Matisse is a post-relational SQL database.

Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.