Dgraph vs OrientDB: What are the differences?

### Key Differences between Dgraph and OrientDB

Dgraph is a distributed graph database designed for high performance and scalability, utilizing a unique sharded clustering model to handle massive datasets efficiently. In contrast, OrientDB is a multi-model database that supports document, graph, object, and key/value data models within a single database engine.

### Indexing Capabilities:
Dgraph provides built-in support for secondary indexing, allowing efficient retrieval of data based on specific attributes. On the other hand, OrientDB offers versatile indexing options, including automatic indexing, manual indexing, full-text indexing, spatial indexing, and more, to optimize query performance across diverse data models.

### Consistency Model:
Dgraph follows a distributed consensus protocol called Raft for strict consistency, ensuring data integrity and reliability in distributed environments. In contrast, OrientDB offers flexible consistency levels, allowing users to choose between strong consistency for ACID transactions or eventual consistency for improved performance and availability.

### Query Language:
Dgraph uses its custom query language called GraphQL±, which extends GraphQL with additional features for querying and manipulating graph data effectively. Meanwhile, OrientDB supports SQL-like queries for relational operations, traversal queries similar to graph databases, and native JavaScript functions for advanced data processing.

### Scalability and Partitioning:
Dgraph employs horizontal scalability through data sharding and replication across multiple clusters, enabling seamless expansion to accommodate growing workloads. In comparison, OrientDB supports vertical scalability by utilizing distributed configurations for better resource utilization and handling diverse data types efficiently.

### Community Support and Ecosystem:
Dgraph has a rapidly growing community and ecosystem, with active development, documentation, and community forums to support users in adopting and optimizing the database for various use cases. On the other hand, OrientDB has a mature community with extensive resources, including documentation, tutorials, and plugins, to facilitate developers in building versatile applications using the database.

In Summary, Dgraph excels in distributed graph data processing and scalability with its unique sharded clustering model, while OrientDB offers multi-model support and versatile indexing capabilities for diverse data management requirements.