Overview
What is Cayley?
Cayley is an open-source graph database designed for storing complex data in a graph structure. It caters to small to large companies and is utilized by data analysts, business intelligence professionals, software developers, research scientists, and social network analysts.
Key Features
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Product Demos
Cayley Maltby 3D Animation Demo Reel
Cayley Urenko Demo Reel | October 2019
Michelle & Cayley Demo
Team Cayley UAV system Final Demo. (Computer Science Senior Design)
Demo of Cayley - Graph Database written in Go
Product Details
- About
- Tech Details
What is Cayley?
Cayley is an open-source graph database designed for storing complex data in a graph structure. It caters to small to large companies and is utilized by data analysts, business intelligence professionals, software developers, research scientists, and social network analysts.
Key Features
Graph Database: According to the vendor, Cayley is a graph database that efficiently stores and retrieves complex data in a graph structure. It is suitable for applications that require analyzing relationships between entities.
Open-Source: Cayley is an open-source project, allowing for community contributions, bug fixes, and customization to meet specific requirements.
Ease of Use: The vendor claims that Cayley is user-friendly and easy to use, making it accessible to both developers and non-technical users. It provides a simple and intuitive query language for retrieving information from the graph database.
Query Languages: Cayley supports multiple query languages, including Gizmo and MQL (Morphism Query Language). Gizmo is a JavaScript-like query language that allows users to write complex queries to traverse the graph and retrieve specific data. MQL is a JSON-based query language that provides a structured approach to querying the graph database.
Flexible Data Model: Cayley supports a flexible data model, enabling users to define their own schema and relationships between entities. It can handle various data types, such as strings, numbers, booleans, and more, making it suitable for diverse data sets.
Scalability: According to the vendor, Cayley is designed to be scalable, allowing users to efficiently store and process large amounts of data. It supports distributed deployments and can be integrated with other scalable technologies, such as Apache Kafka or Apache Spark, to handle big data workloads.
Multiple Backends: Cayley supports various backends, including in-memory stores, LevelDB, Bolt, MongoDB, and more. Users can choose the backend that best suits their requirements in terms of performance, scalability, and data persistence.
Integration with Other Tools: The vendor states that Cayley can be easily integrated with other tools and frameworks, such as Docker and Kubernetes, to facilitate deployment and management. It also provides APIs for third-party integration, allowing users to connect Cayley with other applications and systems.
Graph Visualization: Cayley provides a graph visualization feature that allows users to visualize the graph data and analyze the relationships between entities. It offers an interactive interface to explore and understand the graph structure.
Advanced Querying: Cayley supports advanced querying capabilities, including filtering, sorting, and aggregating data based on specific criteria. Users can perform complex queries to extract meaningful insights from the graph data and answer analytical questions.
Cayley Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Comparisons
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Reviews
Community Insights
- Pros
- Cons
Flexibility and Integration: Multiple reviewers have praised Cayley's flexibility, with the ability to integrate seamlessly with other systems being a standout feature. Users appreciate that it can work with multiple backend stores like Postgres and Mongo, making it easy to fit into existing infrastructure.
Ease of Use: Several users have highlighted how easy it is to use Cayley. Reviewers note that even those who are new to graph products can learn the basics of Gremlin and get started quickly without much difficulty due to its intuitive nature.
Good Library Support in Go: Many reviewers have appreciated Cayley's library support in Go and its strong interaction model for building and navigating graphs. This feature is particularly useful for clients where there is some replication on the client-side, as well as providing an excellent option for those who want to store nodes in DBs such as MongoDB or PostgreSQL.
Confusing User Interface: Several users have reported that the user interface in Cayley is difficult to navigate and can take a long time to adjust to.
Issues with Hanging: A number of reviewers have noted that Cayley has issues with hanging, requiring an entire operating system reboot at times.
Lacks Features: Many users feel that Cayley lacks features compared to other graph databases, including fewer built-in algorithms for graph traversal and no support for node edge properties.