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GQLAlchemy 1.1 DEMO | Python OGM for Graph Databases

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GQLAlchemy is a fully open-source Python library and Object Graph Mapper (OGM) - a link between Graph Database objects and Python objects.
An Object Graph Mapper or OGM provides a developer-friendly workflow that allows for writing object-oriented notation to communicate with graph databases.
Instead of writing Cypher queries, you will be able to write object-oriented code, which the OGM will automatically translate into Cypher queries.
About Memgraph:
Memgraph is the platform for graph computation on streaming data. It’s an end-to-end platform designed to solve complex graph problems in real-time and accelerate graph application development.
You can easily connect all of your streaming data sources, apply AI, ML, and graph algorithms on all that data. Imagine all the awesome apps you'll build with those insights. From Social networks to user event tracking, permissions modeling, recommendation systems, and so much more, you can build it on Memgraph.
Basically, Memgraph enables teams to continuously ingest new data and incrementally execute sophisticated graph algorithms in real-time AND BUILD GRAPH APPS.
An Object Graph Mapper or OGM provides a developer-friendly workflow that allows for writing object-oriented notation to communicate with graph databases.
Instead of writing Cypher queries, you will be able to write object-oriented code, which the OGM will automatically translate into Cypher queries.
About Memgraph:
Memgraph is the platform for graph computation on streaming data. It’s an end-to-end platform designed to solve complex graph problems in real-time and accelerate graph application development.
You can easily connect all of your streaming data sources, apply AI, ML, and graph algorithms on all that data. Imagine all the awesome apps you'll build with those insights. From Social networks to user event tracking, permissions modeling, recommendation systems, and so much more, you can build it on Memgraph.
Basically, Memgraph enables teams to continuously ingest new data and incrementally execute sophisticated graph algorithms in real-time AND BUILD GRAPH APPS.
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