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Graph Engine

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Followers29

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Memgraph

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Followers18

+ 1

Votes0

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Graph Engine vs Memgraph: What are the differences?

What is Graph Engine? RAM Store + Computation Engine + Graph Model (by Microsoft). 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.

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.

Graph Engine and Memgraph can be primarily classified as "Graph Databases" tools.

Graph Engine is an open source tool with 1.79K GitHub stars and 253 GitHub forks. Here's a link to Graph Engine's open source repository on GitHub.

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Pros of Graph Engine

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Flexiable, very expressive, native C# works

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- No public GitHub repository available -

What is 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.

What is Memgraph?

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.

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What companies use Graph Engine?

What companies use Memgraph?

Microsoft-365

BBox Sports B.V.

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What tools integrate with Graph Engine?

What tools integrate with Memgraph?

No integrations found

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What are some alternatives to Graph Engine and 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.

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.

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

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Graph Engine vs Memgraph

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Pros of Graph Engine

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What is Graph Engine?

What is Memgraph?

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What companies use Graph Engine?

What companies use Memgraph?

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What tools integrate with Graph Engine?

What tools integrate with Memgraph?

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