OrientDB
Neo4j
| OrientDB | Neo4j | |
|---|---|---|
| 3 | 50 | |
| 4,693 | 12,486 | |
| 0.2% | 1.1% | |
| 9.8 | 9.9 | |
| 15 days ago | 13 days ago | |
| Java | Java | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OrientDB
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Graph Databases vs Relational Databases: What and why?
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language.
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Database of Databases
OrientDB
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Any graph database with a future?
I think the best multi-modal with a high focus on their graph-side outside of Neo4j for the last few years has been OrientDB.
Neo4j
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System Design: Databases and DBMS
Neo4j
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How to choose the right type of database
Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks.
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Looks Like the Free Software Foundation Forced Neo4j's Hand
After spending millions fighting the committer of ONgDB who removed the commons clause from the AGPL branded license, it looks like the Free Software Foundation got involved and forced them to remove the commons clause or change the license to their own proprietary license.
https://github.com/neo4j/neo4j/commit/b6237ca4e31706b1efbd0f...
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Getting Started with GenAI Stack powered with Docker, LangChain, Neo4j and Ollama
The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running.
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Database Review: Top Five Missing Features from Database APIs
Neo4j (GraphQL)
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How to Choose the Right Document-Oriented NoSQL Database for Your Application
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and Cassandra.
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Loading data
this thread on this github issue could be useful.
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[For Hire] Senior Developer with 14 years experience. Canadian expat in a low cost of living country | From 500 EUR per project/month
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.
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SQL Versus NoSQL Databases: Which to Use, When, and Why
For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we're dealing with is enormous, and the pattern we're searching for in the data is often complex.
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Graph Databases vs Relational Databases: What and why?
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language.
What are some alternatives?
JetBrains Xodus - Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub.
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. [Moved to: https://github.com/apache/age]
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
FlockDB - A distributed, fault-tolerant graph database
jOOQ - jOOQ is the best way to write SQL in Java
RedisGraph - A graph database as a Redis module
Presto - The official home of the Presto distributed SQL query engine for big data
ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
janusgraph - JanusGraph: an open-source, distributed graph database