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Dgraph vs Memgraph: What are the differences?
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1. **Data Model**: Dgraph uses a graph-based data model while Memgraph employs a property graph data model. This means that Dgraph focuses on relationships between entities through edges and nodes, whereas Memgraph places emphasis on properties assigned to nodes and relationships.
2. **Query Language**: Dgraph utilizes GraphQL for querying and manipulating data, providing a powerful and flexible approach for retrieving information. On the other hand, Memgraph uses Cypher, a declarative query language specifically designed for graph databases, allowing for complex graph pattern matching.
3. **Data Consistency**: Dgraph ensures strong consistency by default, meaning that all reads reflect the latest state of data. In contrast, Memgraph provides eventual consistency, which may result in temporary discrepancies between data replicas.
4. **Scalability**: Dgraph is optimized for horizontal scalability, allowing it to efficiently handle large volumes of data across distributed environments. Memgraph also supports scalability but may require additional configurations to achieve the same level of scalability as Dgraph.
5. **Built-in Algorithms**: Memgraph offers a wide range of built-in graph algorithms, making it convenient for users to perform complex analytics tasks directly within the database. Dgraph, on the other hand, may require external libraries or services for certain algorithm implementations.
6. **Community Support and Adoption**: Dgraph has gained significant traction within the developer community and is known for its active user base and frequent updates. While Memgraph is also supported by an active community, it may have a smaller user base compared to Dgraph due to its more recent entry into the market.
In Summary, Dgraph and Memgraph differ in their data models, query languages, data consistency, scalability, built-in algorithms, and community support and adoption.
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Pros of Dgraph
- Graphql as a query language is nice if you like apollo3
- Easy set up2
- Low learning curve2
- Open Source1
- High Performance1
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What is 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.
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 Dgraph?
What companies use Memgraph?
What companies use Memgraph?
See which teams inside your own company are using Dgraph or Memgraph.
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What tools integrate with Dgraph?
What tools integrate with Memgraph?
What tools integrate with Dgraph?
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What are some alternatives to Dgraph 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.
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.
ArangoDB
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.
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.
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.