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Graph-based databases

Graph-based databases are the fastest growing category in all of data management.

These types of databases have become mainstream technology, which has been successfully implemented by organizations across industries to support a wide variety of applications.

Organizations are drawn to this approach to address large and complex data challenges that traditional databases such as relational databases and NoSQL are unable to cope with.

Graph-based databases create tremendous value in specific applications including data analytics, machine learning, fraud detection, and single customer view.

Selecting a graph-based database is an important decision that can advance your organization's business plan.

But since this software is relatively new and rapidly evolving, buyers often struggle to reconcile conflicting claims from different vendors - a good opportunity for organizational and IT consultants.



... BACK





Graph-based databases

Graph-based databases are the fastest growing category in all of data management.

These types of databases have become mainstream technology, which has been successfully implemented by organizations across industries to support a wide variety of applications.

Organizations are drawn to this approach to address large and complex data challenges that traditional databases such as relational databases and NoSQL are unable to cope with.

Graph-based databases create tremendous value in specific applications including data analytics, machine learning, fraud detection, and single customer view.

Selecting a graph-based database is an important decision that can advance your organization's business plan.

But since this software is relatively new and rapidly evolving, buyers often struggle to reconcile conflicting claims from different vendors - a good opportunity for organizational and IT consultants.



... BACK





Graph-based databases

Graph-based databases are the fastest growing category in all of data management.

These types of databases have become mainstream technology, which has been successfully implemented by organizations across industries to support a wide variety of applications.

Organizations are drawn to this approach to address large and complex data challenges that traditional databases such as relational databases and NoSQL are unable to cope with.

Graph-based databases create tremendous value in specific applications including data analytics, machine learning, fraud detection, and single customer view.

Selecting a graph-based database is an important decision that can advance your organization's business plan.

But since this software is relatively new and rapidly evolving, buyers often struggle to reconcile conflicting claims from different vendors - a good opportunity for organizational and IT consultants.



... BACK



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