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Learn MorePros of Cayley
Pros of Dgraph
Pros of RedisGraph
Pros of Cayley
- Full open source7
Pros of Dgraph
- Graphql as a query language is nice if you like apollo3
- Easy set up2
- Low learning curve2
- Open Source1
- High Performance1
Pros of RedisGraph
- 10x – 600x faster than any other graph database3
- Cypher – graph query language2
- Great graphdb1
- Open source1
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- No public GitHub repository available -
- No public GitHub repository available -
What is Cayley?
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
What is Dgraph?
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
What is RedisGraph?
RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering
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What companies use Cayley?
What companies use Dgraph?
What companies use RedisGraph?
What companies use Cayley?
No companies found
What companies use RedisGraph?
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What tools integrate with Cayley?
What tools integrate with Dgraph?
What tools integrate with RedisGraph?
What tools integrate with Cayley?
No integrations found
What tools integrate with Dgraph?
No integrations found
What tools integrate with RedisGraph?
What are some alternatives to Cayley, Dgraph, and RedisGraph?
Neo4j
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Titan
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
JanusGraph
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
ArangoDB
A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.