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PRODUCTS

TalkinGraph ETL is an application that will convert your data in the Oracle® database, transfer it to the Neo4J® graph database and keep it up-to-date.


FEATURES

Provides continuous data synchronization experience that is flexible, scalable, platform independent and reliable,

Allows you to define your transformation models visually,

Transforms your relational data according to your transformation model,

Performs initial load, real-time transformation and data synchronization tasks automatically.







TalkinGraph Visualization is a web-based visualization application designed for easy querying and analysis of graph data in Neo4j® database.


FEATURES

Makes a comprehensive and rapid analysis of relationships in a graph,

Enables you to discover hidden patterns and information in your data,

With query building interface, enables users without query language knowledge to create queries using the model of your data,

Suggests valid relationships between nodes to user during query building,

Gives access to the exact data the user needs thanks to its advanced filtering and customization capabilities,

Automatically detects and uses your data model from the graph database,

Reports the results you have obtained.






WHAT IS GRAPH?

Graph is a structure that consists of nodes and relationships. Each node represents an entity (human, place, vehicle, building, category or any other type of data), and each relationship represents how these entities are related to each other. It is a logical representation of data based on the Graph Theory.

Graph Database; is a NoSQL database management system that has been developed as a big data solution that works on the graph data model. In Graph databases, the model of the data sketched on a whiteboard is the model of your data in database, which is much simpler and more meaningful than relational or other NoSQL databases. Unlike relational databases (RDBMS), nodes and relationships are equally important in graph databases.

The nodes in the graph database physically point to each other, thus they get much faster results than relational databases in the right scenario. Therefore, even complex queries that can’t be responded by relational databases can be responded by graph databases. The performance of queries is minimally affected by the amount of the data in the database. Graph databases are designed with integrity and operationality with OLTP databases in mind.





solutions

IDENTITY AND ACCESS CONTROL

IDENTITY AND ACCESS CONTROL

SOCIAL NETWORKS

SOCIAL NETWORKS

FRAUD DETECTION

FRAUD DETECTION

CYBER SECURITY

CYBER SECURITY

GEOGRAPHICAL RECOMMENDATIONS

GEOGRAPHICAL RECOMMENDATIONS

INTERNET OF THINGS

INTERNET OF THINGS

AND BEYOND

AND BEYOND


CONTACT