GalaXQL
GalaXQL is an open-source graph database management system that allows storing and querying graph-structured data. It provides a SQL-like query language optimized for graph data.
graph-database
open-source
sql
query-language
GalaXQL: Open-Source Graph Database Management Systems
GalaXQL is an open-source graph database management system that allows storing and querying graph-structured data. It provides a SQL-like query language optimized for graph data.
What is GalaXQL?
GalaXQL is an open-source graph database management system designed for storing and analyzing relationships between connected data. It is optimized to store data in nodes and relationships, allowing complex graph queries to reveal insights.
Some key features of GalaXQL include:
- A SQL-like declarative query language called Cypher that is tuned for efficiently traversing graphs
- Support for massive graphs containing billions of nodes/relationships
- Flexible data modeling with nodes, properties, and relationships
- Real-time queries, indexing, and transactional updates to the graph
- Integrations for ingesting/exporting data from various sources
- APIs for building graph-powered applications
- Community-driven development and support
GalaXQL enables developers to build applications leveraging graph algorithms for personalization, recommendation engines, network analysis, fraud detection, and more. Its focus on relationships makes it well-suited for connected data models across domains like social networking, logistics, finance, healthcare, and IoT.
GalaXQL Features
Features
- Graph database management system
- Stores graph-structured data
- SQL-like query language optimized for graphs
- Schema-free data model
- ACID transactions
- High performance
- Horizontal scalability
- Built-in replication
- Role-based access control
- REST API
- Client drivers for Java, Python, JavaScript
Pricing
- Open Source
Pros
Powerful graph query language
High performance and scalability
Flexible schema-free data model
Open source with liberal license
Built-in replication and clustering
REST API and client drivers available
Cons
Limited adoption and community support
Not as full-featured as some commercial graph DBs
Lacks some advanced database features like full-text search
Documentation can be lacking in some areas
Official Links
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