Software Alternatives & Startups

neo4j VS Ebean ORM

Compare neo4j VS Ebean ORM and see what are their differences

neo4j

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

Rating
0 reviews
Pricing
Open source
Ebean ORM

ORM for Java / Kotlin

Rating
0 reviews
Pricing
Open source

Which is more popular?

Based on our record, neo4j should be more popular than Ebean ORM. It has been mentioned 36 times since March 2021.

social mentions
36 vs 4
Databases popularity
97% vs 3%
alternatives listed
201 vs 31

Base details

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

neo4j
Ebean ORM
Website neo4j.com ebean.io
Pricing
Open source Official pricing
Open source
Company Startup from the United States · 500 - 999 employees · 2007 —
Listed in

Features and specs

What each product offers, as listed by its team.

neo4j 1 feature
Ebean ORM 5 features
  • Graph DB
  • Simplified ORM
    Ebean ORM simplifies database interactions with an easy-to-use API, which abstracts away much of the complexity involved in handling SQL directly. This allows developers to focus more on business logic rather than database connectivity and queries.
  • Automatic Query Generation
    Ebean automatically generates queries based on the defined entity models, reducing the need for manually crafting complex SQL queries. This feature can save development time and reduce the potential for query-related errors.
  • Lazy Loading Support
    Ebean supports lazy loading, which allows for the efficient retrieval of data by only loading related entities when they are accessed. This can help improve application performance by reducing initial data loading times.
  • Integration with Play Framework
    Ebean integrates seamlessly with the Play Framework, which is advantageous if you are developing applications using this framework, providing a cohesive development experience and reducing setup complexity.
  • Full-text Search
    Ebean provides built-in support for full-text search, enabling applications to perform search operations without relying on external search services, thus offering more versatility in how data can be queried and manipulated.

Possible disadvantages

  • Limited Ecosystem
    Compared to more established ORMs like Hibernate, Ebean has a smaller community and ecosystem, which may result in less third-party support, fewer tutorials, and less available expertise, potentially increasing the learning curve for new developers.
  • Documentation
    While Ebean offers documentation, some users might find it lacking in depth compared to larger projects, which can make troubleshooting and advanced use cases more challenging to navigate without external help or experimentation.
  • Resource Intensive
    Ebean can be resource-intensive in terms of memory and processing, especially in cases of complex data models or when dealing with extremely large datasets, which might impact application performance and scalability.
  • Lack of Advanced Features
    For highly specialized and advanced ORM tasks, Ebean might lack some of the features offered by more mature ORMs like Hibernate, which could necessitate additional work or integration with other tools for complex requirements.

Analysis

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

neo4j
Ebean ORM

Overall verdict

  • Yes, Neo4j is generally regarded as a good choice for applications where understanding and leveraging relationships between data points is crucial. Its mature ecosystem, active community, and extensive documentation further enhance its credibility and usability.

Why this product is good

  • Neo4j is considered a leading graph database platform that is highly effective for storing and querying complex data relationships. It is appreciated for its powerful query language, Cypher, useful for handling connected data. Its graph model is intuitive for users to understand and map to real-world applications, making it popular for use cases such as social networking, recommendation engines, and fraud detection.

Recommended for

  • Social network analysis
  • Recommendation systems
  • Fraud detection
  • Network and IT operations
  • Knowledge graphs
  • Data lineage tracking

No analysis of Ebean ORM yet.

Videos

Walkthroughs and reviews on video.

neo4j 2 videos + Add
Ebean ORM 1 video + Add

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

More videos

  • - Kevin Van Gundy | Building a Recommendation Engine with Neo4j and Python

Ebean ORM - fetch join @OneToMany maxRows treatment

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
neo4j
Ebean ORM
97% 97%
3% 3%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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

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Reviews and articles

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

neo4j no reviews yet
Ebean ORM no reviews yet

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

Social recommendations and mentions

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

neo4j 36 mentions
Ebean ORM 4 mentions
  • How to give Claude Code persistent memory with a self-hosted mem0 MCP server
    The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools... - Source: dev.to / 8 months ago
  • The Context Graph Manifesto
    Perhaps the biggest promoter of the term has been Philip Rathle from Neo4j, which offers the best-known graph database system for storing knowledge graphs. But here's where the confusion starts: Is a knowledge graph something you store,... - Source: dev.to / 10 months ago
  • 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... - Source: dev.to / over 1 year ago

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  • How do you guys go about the persistence layer?
    You can have a look at https://ebean.io/ ... Better control over the generated SQL, multiple levels of abstraction, can generate DB migrations and run the DB migrations, transparent encryption support, SQL 2011 history support, test... Source: over 4 years ago
  • What do you whish for Spring 6?
    There is https://ebean.io/ and looks like it a community driven alternative to jOOQ. Source: about 5 years ago
  • Do you use code generators in your IDEs or some external ones? If so, which ones?
    Ebean ORM https://ebean.io/ was built to somewhat rival JPA (and JDBI) Btw: you can use java 16 records with ebean as DTOs, EmbeddedId and also as read only entity beans (and JPA implementations could similarly do so). Source: about 5 years ago

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Alternatives to neo4j and Ebean ORM

When comparing neo4j and Ebean ORM, you can also consider the following products.