ONgDB unifies organizations across departments and across teams, both technical and non-technical, enabling a greater level of understanding and clarity in communication than previously possible. An ONgDB graph model is whiteboard friendly and allows everyone from business to engineering groups to speak the same language of connections. Communicating in contextually relevant connections that bring together business concepts reduces the potential for misunderstandings that cause delays and rework later.
The world today is highly connected. Graph databases are whiteboard friendly and effective in mimicking erratic and inconsistent relationships through intuitive means. They help provide insights and understanding by creating connections within complex big data sets. As enterprises become increasingly data driven it is essential that all individuals, especially the non-technical groups have the ability to collaborate with engineering in a more integrated fashion. ONgDB removes the intimidation factor of technology typically required to deal with complex data and enables more unified collaboration because we all can relate to connections.
There a number of reasons why both technical and non-technical teams within an organization could all agree on ONgDB:
- It offers incredible performance
The more connected data gets in typical RDBMS and NoSQL databases, the faster performance query degrades. It’s fact that data within all organizations is growing rapidly in size and connectedness. ONgDB provides constant time navigation through your connected data whether your one level deep or ten levels deep.
- It guarantees data reliability
ONgDB is fully ACID-compliant and transactional with a guarantee of referential integrity, which means that once your data is written it cannot be lost and two nodes will never disagree on the relationship between them.
- It has tremendous flexibility
With Open Native Graph Database (ONgDB), non-technical business personnel, IT, and data architect staff are united and move at a speed of business due to the schema and structure of a graph model that “flexes” as business solutions and marketing industry changes. Your team won’t have to exhaust themselves modeling your domain in advance. Instead, they can make additions to the current structure without interrupting current functionality.
- It’s very agile
Creating by means of Open Native Graph Database (ONgDB) perfectly aligns with tested and agile development practices today. This allows your database-backed application to adapt with evolving business requirements.
When it comes to the latest in graph database technologies, ONgDB is the leading fully open source option because it is native in both graph data modeling processing and storage with clustering and security included. If you’re looking for a technology that unites your organization in your efforts to be data driven, pick ONgDB. You won’t be disappointed.
It’s been my personal experience that the ONgDB property graph model enables all of us from the product team to engineering team to iterate on the data model together. There’s no longer the need fore me to disappear into a room and make an ERD diagram that most of the product team won’t understand and will agree to even if doesn’t represent the concept they intended to convey. This will confuse them even more since the third normal form won’t actually appear like the connections they’re expecting to see in the real world. With ONgDB this is no longer necessary because such connections become front and center of everything, are concretely represented at a database level.