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  1. Stackups
  2. Application & Data
  3. Graph Databases
  4. Graph Databases
  5. JanusGraph vs Memgraph

JanusGraph vs Memgraph

OverviewComparisonAlternatives

Overview

JanusGraph
JanusGraph
Stacks43
Followers96
Votes0
Memgraph
Memgraph
Stacks9
Followers19
Votes0

JanusGraph vs Memgraph: What are the differences?

<JanusGraph vs. Memgraph>

1. **Data Model**: JanusGraph supports a property graph data model, while Memgraph uses a labeled property graph model.
2. **Query Language**: JanusGraph uses Apache TinkerPop Gremlin for querying, whereas Memgraph uses the Cypher query language.
3. **Storage Engine**: JanusGraph supports a variety of storage backends like Apache HBase, Google Cloud Bigtable, etc., whereas Memgraph has its in-memory storage engine.
4. **Scalability**: JanusGraph provides horizontal scalability by distributing data across multiple servers, whereas Memgraph is more suited for smaller datasets due to its in-memory architecture.
5. **Community Support**: JanusGraph has a larger open-source community backing it, enabling more resources, plugins, and community-driven support compared to the newer Memgraph.
6. **Deployment**: JanusGraph can be deployed on-premises and on cloud platforms like AWS, Azure, and GCP, while Memgraph is primarily deployed on-premises or using Docker containers.

In Summary, JanusGraph and Memgraph differ in data model, query language, storage engine, scalability, community support, and deployment options.

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Detailed Comparison

JanusGraph
JanusGraph
Memgraph
Memgraph

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.

Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.

Elastic and linear scalability for a growing data and user base; Data distribution and replication for performance and fault tolerance; Multi-datacenter high availability and hot backups; Support for ACID and eventual consistency; Support for various storage backends: HBase, Cassandra, Bigtable, DynamoDB, BerkeleyDB; Support for global graph data analytics, reporting, and ETL through integration with big data platforms: Spark, Giraph, Hadoop; Support for geo, numeric range, and full-text search via: ElasticSearch, Solr, Lucene; Native integration with the Apache TinkerPop graph stack; Open source under the Apache 2 license
Cypher Query Language; Bolt Protocol as Communication API; Push and Pull Communication Mechanisms; Authentication and Authorization; Data Import/Export; Data Visualization; Graph Database; Real-Time Data Analytics; Reporting & Statistics; Search/Filter; Audit Logs; High-availability Replication; Extensibility via Query and Auth Modules;
Statistics
Stacks
43
Stacks
9
Followers
96
Followers
19
Votes
0
Votes
0
Integrations
Apache Spark
Apache Spark
Amazon DynamoDB
Amazon DynamoDB
Cassandra
Cassandra
Apache Solr
Apache Solr
ScyllaDB
ScyllaDB
C++
C++
Docker
Docker
Google Cloud Platform
Google Cloud Platform
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
Python
Python
GrapheneDB
GrapheneDB
Red Hat OpenShift
Red Hat OpenShift
Graph Story
Graph Story

What are some alternatives to JanusGraph, Memgraph?

Neo4j

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.

Dgraph

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.

RedisGraph

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

Cayley

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.

Blazegraph

Blazegraph

It is a fully open-source high-performance graph database supporting the RDF data model and RDR. It operates as an embedded database or over a client/server REST API.

Graph Engine

Graph Engine

The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

FalkorDB

FalkorDB

FalkorDB is developing a novel graph database that revolutionizes the graph databases and AI industries. Our graph database is based on novel but proven linear algebra algorithms on sparse matrices that deliver unprecedented performance up to two orders of magnitude greater than the leading graph databases. Our goal is to provide the missing piece in AI in general and LLM in particular, reducing hallucinations and enhancing accuracy and reliability. We accomplish this by providing a fast and interactive knowledge graph, which provides a superior solution to the common solutions today.

Titan

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.

TypeDB

TypeDB

TypeDB is a database with a rich and logical type system. TypeDB empowers you to solve complex problems, using TypeQL as its query language.

Akutan

Akutan

A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.

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