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We develop solutions on world’s fastest and most scalable graph platform

Speed

Massively parallel processing provides sub-second response for queries with tens of millions of entities/relationships.

Scale-Out

Scales out with your growing needs (and stays fast, of course). Trillion-edge graphs are running real-time analytics in production.

Graph Analytics

Gain deeper insights through queries which can traverse 10 or more hops and perform complex analytics.

Graph Query Language

The GSQL query language is the choice for high-performance graph operations and analytics. High-level syntax, Turing completeness, and built-in parallelism mean faster performance and development.

Multi-Graph

Multiple groups can share the same master database, while retaining local control and security. This helps enterprises break down data silos, improving transparency and access to data.

Visual Interface

TigerGraph GraphStudio™ is our simple yet powerful graphical user interface. GraphStudio integrates all the phases of graph data analytics into one easy-to-use graphical user interface.


Orbifold B.V.
Leuven, Belgium (Europe)
info@orbifold.net
orbifold.net

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  • Graph Analytics
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14 days ago
New major @yworks releases (v2.5) of yFiles for HTML! Cactus layout, arrow shapes, WebGL animations and lots more. https://t.co/Ht4bsctMMP #graphs #diagramming #GraphVisualization https://t.co/t7a9NF78sK
22 days ago
Deep Graph Library v0.9 has been released and comes with https://t.co/kqN2nwbE5z cuGraph integration. https://t.co/kqN2nwbE5z https://t.co/yWaOCHsIHT #GraphMachineLearning https://t.co/3IXjNE6dQ6
24 days ago
Overview of Graph Theory and Alzheimer's Disease. https://t.co/OcRIlw9Ux4 #graphs https://t.co/FZjhtbP7Z1
30 days ago
PyTorch released with support for Apple Silicon andTorchArrow. Is not beating Nvidia in any way but a huge boost nevertheless. https://t.co/Ki9X6qcN9W #PyTorch #GraphMachineLearning https://t.co/5XqICW9C7Q
54 days ago
GitHub Copilot https://t.co/8ZeokKzeUG is generally available. It uses AI to suggest code and entire functions in real-time, right from your editor. Extensively discussed here: https://t.co/h5JPUo2ZDq #AI https://t.co/ryqPV4LHnm
54 days ago
The latest @neo4j data science lib now has autotuning, node regression, Apache Arrow integration and Leiden community detection. It's graph data science for everything and everyone. https://t.co/9Vz0B0TDvK #graphs https://t.co/a2VZpAdeQV
56 days ago
Besides the new Bloom, the Neo4j Ops Manager (NOM) is also released and available for download: https://t.co/IDAogHsTZ3. Overview in this video: https://t.co/73Fv2x402w
@neo4j https://t.co/PC8gfa9AKk
56 days ago
The latest Neo4j Bloom 2.3 now comes supercharged with Graph Data Science and integrated centrality visualization. https://t.co/20UZF6lbnU @neo4j #graphs #graphvisualization https://t.co/88DuoNdDCI
65 days ago
yFiles Graphs for Jupyter is a free diagram visualization extension for JupyterLab and Jupyter Notebook. https://t.co/VyqZ6ocu73 #DataViz #graphs #Jupyter @yworks https://t.co/cz5xIYEwRr
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