DSE Graph vs Memgraph

Overview

DSE Graph

Stacks4

Followers8

Votes0

GitHub Stars0

Forks0

Memgraph

Stacks9

Followers19

Votes0

Memgraph vs DSE Graph: What are the differences?

What is Memgraph? It is a database which understands the relationships between its data points, generating meaning just like a humans. It is fully distributed and in‑memory transactional graph database platform powering the next generation of real‑time enterprise applications in fraud detection, cyber security and artificial intelligence.

What is DSE Graph? A distributed graph database that is optimized for enterprise applications. It is a distributed graph database that is optimized for enterprise applications–Zero downtime, fast traversals at scale, and analysis of complex, related datasets in real time.

Memgraph and DSE Graph belong to "Graph Databases" category of the tech stack.

Some of the features offered by Memgraph are:

Speed
Scale
Simplicity

On the other hand, DSE Graph provides the following key features:

Graph Powered Insights
Graph Your Way
Graph Available Always

DSE Graph is an open source tool with 7 GitHub stars and 2 GitHub forks. Here's a link to DSE Graph's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

DSE Graph	Memgraph
It is a distributed graph database that is optimized for enterprise applications–Zero downtime, fast traversals at scale, and analysis of complex, related datasets 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.
Graph Powered Insights; Graph Your Way; Graph Available Always	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
GitHub Stars 0	GitHub Stars -
GitHub Forks 0	GitHub Forks -
Stacks 4	Stacks 9
Followers 8	Followers 19
Votes 0	Votes 0
Integrations
Python .NET JavaScript Java Groovy	C++ Docker Google Cloud Platform Microsoft Azure Kubernetes Python GrapheneDB Red Hat OpenShift Graph Story

What are some alternatives to DSE Graph, Memgraph?

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'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 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 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

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

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 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.

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.

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.