Graph

Databases

We help build a graph database or GDB for your entire business operations and links to help you run ad-hoc and structured queries. These queries search nodes standing for business entities, edges for associations & transactions, and properties for business rules & attributes.

A GDB maps all data items in a datastore to an interconnected collection of nodes and edges to allow direct linking of the data and its retrieval with one query. Querying relationships becomes efficient to help intuitively visualize relationships, making them clear and useful.

shutterstock_1426387367 [Converted]-01.p
robots-hands-typing-on-keyboard-B5XW2CS.

The world is built on connections, associations, and relationships, but most database systems do not capture them and rely only on the state of entities. No piece of information is isolated and is interlinked with many others – affecting them and getting affected by them.

Simply put, a Graph Database can store not only the information on the nodes (entities), but also about the relationships between them along with attributes those relationships (edges) may have. It stores associations with the data in the data-model. A GDB treats the relationships with equal importance as the data.

A GDB query starts retrieving the results in exploratory mode – first the immediate neighbourhood, then their neighbours and so on, processing millions of nodes and their relationships, without affecting any data beyond the search parameters.

The Neo4j graph database system helps run the Hume, an insights engine from GraphAware. We excel at both the underlying technologies to bring hidden relationships in large datasets in plain view. Graph databases are also more efficient and reliable in handling multimedia data, social media feeds, and unstructured data from varied sources. Therefore, by choosing a reliable delivery partner, you can avail graph solutions as the stepping-stone of your business’ leap into the future.

hume-logo_white_r.png

Introducing Hume

Graph-Powered Insights.
Extracted, connected, visualised.

Graph-Native

Ecosystem

Meet the no-code knowledge graph ecosystem that brings analysts and data scientists the full power of graph data, queries, and algorithms. Backed by Neo4j, Hume is the fastest, most scalable, and highly secure way to generate insights and intelligence from your data.

graph-native-ecosystem-v3-01.png

Natural Language

Processing

Extract meaning from unstructured data sources, improve your insights, and enhance your predictive capabilities by plugging out-of-the-box or custom NLP and other Machine Learning skills into Hume’s automated data ingestion and enrichment workflows.

Natural Language

Processing

Extract meaning from unstructured data sources, improve your insights, and enhance your predictive capabilities by plugging out-of-the-box or custom NLP and other Machine Learning skills into Hume’s automated data ingestion and enrichment workflows.

n4j-filler-4-01.png