What is GQLAlchemy and which graph databases does it support?
Question:
What is GQLAlchemy and is it limited only to Memgraph or can it be used with other graph databases?
Answers:
GQLAlchemy is a fully open-source Python library that aims to be the go-to Object Graph Mapper (OGM) — a link between Graph Database objects and Python objects. GQLAlchemy supports Memgraph and Neo4j.
An Object Graph Mapper or OGM provides a developer-friendly workflow that allows for writing object-oriented notation to communicate to a graph database. Instead of writing Cypher queries, you will be able to write object-oriented code, which the OGM will automatically translate into Cypher queries.
Some of the GQLAlchemy features are:
- OGM Serialization and deserialization
- Automatic schema validation
- On-disk storage
- Custom data loaders
- Query builder
- Manage streams
- Manage database triggers
- Manage Memgraph instances
As said, GQLAlchemy supports Memgraph and Neo4j but on-disk storage feature only works with Memgraph. Neo4j is not supported.
What is GQLAlchemy and is it limited only to Memgraph or can it be used with other graph databases?
GQLAlchemy is a fully open-source Python library that aims to be the go-to Object Graph Mapper (OGM) — a link between Graph Database objects and Python objects. GQLAlchemy supports Memgraph and Neo4j.
An Object Graph Mapper or OGM provides a developer-friendly workflow that allows for writing object-oriented notation to communicate to a graph database. Instead of writing Cypher queries, you will be able to write object-oriented code, which the OGM will automatically translate into Cypher queries.
Some of the GQLAlchemy features are:
- OGM Serialization and deserialization
- Automatic schema validation
- On-disk storage
- Custom data loaders
- Query builder
- Manage streams
- Manage database triggers
- Manage Memgraph instances
As said, GQLAlchemy supports Memgraph and Neo4j but on-disk storage feature only works with Memgraph. Neo4j is not supported.