Software Alternatives, Accelerators & Startups

Apache Ignite VS neo4j

Compare Apache Ignite VS neo4j and see what are their differences

Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...

neo4j logo neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
  • Apache Ignite Landing page
    Landing page //
    2023-07-08
  • neo4j Landing page
    Landing page //
    2023-05-09

neo4j

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

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Ignite’s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

neo4j features and specs

  • Graph DB

Apache Ignite videos

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

neo4j videos

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

More videos:

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

Category Popularity

0-100% (relative to Apache Ignite and neo4j)
Databases
22 22%
78% 78
NoSQL Databases
25 25%
75% 75
Graph Databases
0 0%
100% 100
Key-Value Database
100 100%
0% 0

User comments

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Reviews

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

Apache Ignite Reviews

We have no reviews of Apache Ignite yet.
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neo4j Reviews

Top 15 Free Graph Databases
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
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.

Social recommendations and mentions

Based on our record, neo4j seems to be a lot more popular than Apache Ignite. While we know about 34 links to neo4j, we've tracked only 3 mentions of Apache Ignite. 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.

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / 7 months ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / about 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: over 3 years ago

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 / 25 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 / 27 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 / 3 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 / 5 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
View more

What are some alternatives?

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

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

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

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

memcached - High-performance, distributed memory object caching system

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

Hazelcast - Clustering and highly scalable data distribution platform for Java