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A High Performance In-Memory Graph Database as a Redis Module
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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
RedisGraph is a tool in the Graph Databases category of a tech stack.
RedisGraph is an open source tool with GitHub stars and GitHub forks. Here’s a link to RedisGraph's open source repository on GitHub

Who uses RedisGraph?

3 companies reportedly use RedisGraph in their tech stacks, including mediabox-lv,, and inavitas.

28 developers on StackShare have stated that they use RedisGraph.

RedisGraph Integrations

Pros of RedisGraph
10x – 600x faster than any other graph database
Cypher – graph query language
Great graphdb
Open source
Decisions about RedisGraph

Here are some stack decisions, common use cases and reviews by companies and developers who chose RedisGraph in their tech stack.

Giridharan S
Needs advice

I need to know how RedisGraph stores nodes and edges internally. Someone, please help if you know!

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I'm evaluating the use of RedisGraph vs Microsoft SQL Server 2019 graph features to build a social graph. One of the key criteria is high availability and cross data center replication of data. While Neo4j is a much-matured solution in general, I'm not accounting for it due to the cost & introduction of a new stack in the ecosystem. Also, due to the nature of data & org policies, using a cloud-based solution won't be a viable choice.

We currently use Redis as a cache & SQL server 2019 as RDBMS.

I'm inclining towards SQL server 2019 graph as we already use SQL server extensively as relational database & have all the HA and cross data center replication setup readily available. I still need to evaluate if it fulfills our need as a graph DB though, I also learned that SQL server 2019 is still a new player in the market and attempts to fit a graph-like query on top of a relational model (with node and edge tables). RedisGraph seems very promising. However, I'm not totally sure about HA, Graph data backup, cross-data center support.

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RedisGraph Alternatives & Comparisons

What are some alternatives to RedisGraph?
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.
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.
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.
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
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RedisGraph's Followers
107 developers follow RedisGraph to keep up with related blogs and decisions.