RedisGraph
RedisGraph is a graph database built on top of Redis that allows storing graph structures and running graph queries and algorithms. It provides indexing and query optimization for fast traversals and pattern matching.
graph
database
redis
query
traversal
RedisGraph: Graph Database
A graph database built on top of Redis, storing graph structures, running graph queries and algorithms, with indexing and query optimization for fast traversals and pattern matching.
What is RedisGraph?
RedisGraph is an open-source graph database developed by Redis Labs and built on top of Redis. It allows storing property graphs in Redis by extending it with custom data structures and commands optimized for graph operations.
Key features of RedisGraph include:
- Native graph storage - Stores nodes and relationships as first-class citizens in Redis
- Cypher query language support - Implements openCypher, allowing declarative graph queries
- Index-free adjacency - Graph traversal using direct node lookups without index lookup latency
- Graph algorithms - Algorithms like PageRank,shortest path, triangle count etc are implemented as Redis commands
- Visualization - Built-in graphs visualization in RedisInsight and support for Graphexp
- High performance - Fast queries via graph-specific optimizations and Redis speed
- JSON import - Bulk loading graphs using JSON files
- ACID transactions - Ensures graph integrity
Use cases include fraud detection, inventory mapping, real-time recommendation engines, master data management and more. RedisGraph scales to billions of edges across multiple machines.
RedisGraph Features
Features
- Graph database built on top of Redis
- Allows storing graph structures
- Runs graph queries and algorithms
- Provides indexing and query optimization
- Fast graph traversals and pattern matching
Pricing
- Open Source
Pros
Built on top of Redis so inherits its advantages like speed and data structures
Scalable and distributed
Open source with permissive license
Can handle complex graph queries and algorithms
Integrates well with other Redis data structures and apps
Cons
Less full-featured than some dedicated graph databases
Requires expertise with Redis and graphs to use effectively
Not as mature or well-supported as some alternatives
Limited to capabilities of Redis engine underneath
Not optimized for very large or complex graph workloads
Official Links
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