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RedisGraph VS FalkorDB

Compare RedisGraph VS FalkorDB and see what are their differences

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RedisGraph logo RedisGraph

A high-performance graph database implemented as a Redis module.

FalkorDB logo FalkorDB

Build Fast and Accurate GenAI Apps with GraphRAG at Scale
  • RedisGraph Landing page
    Landing page //
    2023-03-24
  • FalkorDB
    Image date //
    2025-01-27

FalkorDB delivers an accurate, multi-tenant RAG solution powered by a low-latency, scalable graph database technology. Our solution is purpose-built for development teams working with complex, interconnected data—whether structured or unstructured—in real-time or interactive user environments.

RedisGraph

Website
oss.redis.com
$ Details
-
Release Date
-
Edit details

FalkorDB

Website
staging.falkordb.com
$ Details
freemium
Release Date
2023 December
Startup details
Country
Israel
Founder(s)
Guy Korland, Roi Lipman, Avi Avni
Employees
10 - 19
Edit details

RedisGraph features and specs

  • High Performance
    RedisGraph is designed for fast operations using an in-memory structure with optimized algorithms. It leverages sparse matrices and linear algebra to perform graph operations efficiently, resulting in high query performance suitable for real-time applications.
  • Cypher Query Language
    RedisGraph uses the Cypher query language, which is intuitive and widely used. This makes it easier for those familiar with graph databases to write queries without a steep learning curve.
  • Integration with Redis Ecosystem
    Being part of the Redis ecosystem allows RedisGraph to integrate seamlessly with other Redis modules and core features, benefiting from Redis's scalability, replication, and persistence capabilities.
  • Open Source and Active Community
    As an open-source project, RedisGraph benefits from community contributions and transparency. The active development and support community can be advantageous for users seeking collaboration or needing assistance.

Possible disadvantages of RedisGraph

  • Memory Usage
    RedisGraph operates in-memory, which can lead to high memory usage, especially for large datasets. This can make it impractical for very large graphs without sufficient hardware resources.
  • Limited Graph Features
    Compared to some specialized graph databases, RedisGraph may offer a more limited set of advanced graph-specific features. This could be a constraint for users needing specific functionalities like multi-tenancy or advanced analytical capabilities.
  • Persistence Limitations
    While RedisGraph benefits from Redis’s persistence mechanisms, it primarily functions as an in-memory database. Thus, ensuring durability and handling large datasets with persistence needs might require additional configuration and resources.
  • Complexity for Beginners
    Though Cypher is relatively easy to learn, those new to graph databases might find the concepts and setup of RedisGraph complex, especially if they need to install and manage Redis modules and configurations.

FalkorDB features and specs

  • Multi-Tenancy
    10K+ In a single instance
  • Low-Latency
    500x faster than Neo4j

RedisGraph videos

+ Add

Deep Dive into RedisGraph

More videos:

  • Review - Creating a Model of Human Physiology w/RedisGraph - RedisConf 2020

FalkorDB videos

+ Add

Auto generating of Knowledge Graph with MindGraph, FalkorDB & OpenAI

More videos:

  • Tutorial - Getting started with FalkorDB SaaS

Category Popularity

0-100% (relative to RedisGraph and FalkorDB)

RedisGraph

FalkorDB

Databases
55 55%
Databases
45% 45
Graph Databases
55 55%
Graph Databases
45% 45
NoSQL Databases
57 57%
NoSQL Databases
43% 43
Developer Tools
0 0%
Developer Tools
100% 100

Questions and Answers

As answered by people managing RedisGraph and FalkorDB.

Which are the primary technologies used for building your product?

FalkorDB's answer:

C, Rust, Next.js

What makes your product unique?

FalkorDB's answer:

An ultra-low latency Graph Database

Why should a person choose your product over its competitors?

FalkorDB's answer:

x100 faster than the leading solutions

How would you describe your primary audience?

FalkorDB's answer:

Developers, Architects, Data scientists, CTOs

What's the story behind your product?

FalkorDB's answer:

An ultra-low latency Graph Database that perfects the Knowledge Graph for KG-RAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.

User comments

Share your experience with using RedisGraph and FalkorDB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, FalkorDB should be more popular than RedisGraph. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RedisGraph mentions (2)

FalkorDB mentions (3)

  • Semantic search alone won't solve relational queries in your LLM retrieval pipeline.
    Use a low-latency graph database: Integrate FalkorDB for its sparse matrix representation and optimized linear algebra-based traversals. Queries execute in milliseconds—critical for real-time AI interactions. - Source: dev.to / about 2 months ago
  • Graph database vs relational vs vector vs NoSQL
    In vector databases, data is stored as high-dimensional vector embeddings, which are numerical representations generated by machine learning models to capture the features of data. When querying, the input is converted into a vector embedding, and similarity searches are performed between the query vector and stored embeddings using distance metrics like cosine similarity or Euclidean distance to retrieve the most... - Source: dev.to / about 2 months ago
  • NoLiMA: GPT-4o achieve 99.3% accuracy in short contexts (<1K tokens), performance degrades to 69.7% at 32K tokens.
    For AI architects, integrating graph-native storage with LLMs isn’t optional—it’s imperative for building systems capable of robust, multi-hop reasoning at scale. - Source: dev.to / 3 months ago

What are some alternatives?

When comparing RedisGraph and FalkorDB, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

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