neo4j VS Datomic

Compare neo4j VS Datomic and see what are their differences

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neo4j

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

Datomic

The fully transactional, cloud-ready, distributed database

Landing page //
2023-05-09

Landing page //
2023-09-14

neo4j

Website: neo4j.com
Pricing URL: Official neo4j Pricing
$ Details
Release Date: 2007 January
Startup details
Country: United States
State: California
City: San Mateo
Founder(s): Emil Eifrem
Employees: 500 - 999

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Datomic

Website: datomic.com
Pricing URL: Official Datomic Pricing
$ Details: -
Release Date: -

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neo4j features and specs

Graph DB

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.

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

Datomic videos

+ Add

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

Category Popularity

0-100% (relative to neo4j and Datomic)

Datomic

Databases

76 76%

Databases

24% 24

Graph Databases

100 100%

Graph Databases

0% 0

Relational Databases

0 0%

Relational Databases

100% 100

NoSQL Databases

86 86%

NoSQL Databases

14% 14

User comments

Share your experience with using neo4j and Datomic. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and Datomic

Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition

Source: www.predictiveanalyticstoday.com

ArangoDB vs Neo4j - What you can't do with Neo4j

Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.

Source: www.arangodb.com

Datomic Reviews

We have no reviews of Datomic yet.
Be the first one to post

Social recommendations and mentions

Based on our record, neo4j seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

neo4j mentions (34)

6 retrieval augmented generation (RAG) techniques you should know
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 9 days ago
LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 11 days ago
10 Ways AI Can Speed Up your Mobile App Development
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 2 months ago
Databases in 2024: A Year in Review
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 4 months ago
Installing Neo4j In Ubuntu
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago

Datomic mentions (0)

We have not tracked any mentions of Datomic yet. Tracking of Datomic recommendations started around Mar 2021.

What are some alternatives?

When comparing neo4j and Datomic, you can also consider the following products

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

MySQL - The world's most popular open source database

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

Matisse - Matisse is a post-relational SQL database.