Graph Database in Research Organizations

Research Value from Connected Data

Many enterprises today build their business around research that involves piecing together meaningful data from the public domain for their customers. When trying to connect data across a domain in a meaningful way building around a graph database is a great tool because it models very well exactly how the business analysts at these research organizations are piecing together the real-world data they are finding during their research.

A business analyst may begin with one person and from there, move to the company they’re working for and then shifting to colleagues before moving on to places where their current colleagues previously worked, before finally settling for their past colleagues. Suddenly the business analysts has nearly finished building out an intuitive network of complex connections around this person of interest which would have been challenging and time consuming to try to represent in Excel.

Research organizations are more than just managing large data volumes, their core goal is finding understanding that comes through research to gain insight of the available data. To properly leverage data relationships, a research organization requires a database technology that houses data relationship as a first-class entity.

As a fully open source, native graph database, ONgDB provides several essential advantages for businesses today:

• • ONgDB structures data connections precisely as they exist in the world around us with the contextually specific connections between entities as primary entities that can be explored in constant time.
  • Real-time results for queries that are exploring the many different and complex connections around and between entities throughout the database without any JOIN operations necessary.
  • Data and its structure can easily be changed as well as adding new data varieties.
  • ONgDB stores the data in a way that even the marketing team will understand because the entities (nodes) and connections (relationships) to other entities that were drawn on the whiteboard during the session where everyone discussed how the data was connected is exactly how it will be stored and queried.

A research organization needs to quickly adapt to our rapidly evolving world. Bringing research conclusions to their customers in a timely manner is critical. Most existing hurdles in deriving meaning from research and making this actionable by the business have a lot to do with relationship navigation between data points. Creating connected-data applications on top of current data points is becoming too impractical to do with relational, document, columnar and aggregate stores.

ONgDB provides an advantage in understanding data relationships that provide insight, guidance and unlock meaning from your research. ONgDB does this by being an ACID-compliant, transactional source of truth database that navigates complex data connections in constant time from an algorithmic perspective and allows intuitive visual representation of meaningful data connections.

ONgDB, as a result of its index-free graph database engine, has become a critical tool for unearthing, capturing, and sorting out complicated inter-dependencies and relationships. As the world continues to become more connected and we seek to understand these connections through research, those enterprises that excel will be those leveraging ONgDB to understand their data connections.

The GraphGrid Connected Data Platform provides all the hosting, infrastructure management and data tooling needed to efficiently load data into ONgDB and analyze it across a globally distributed team and our Certified ONgDB Professional software engineers are available to assist you at any point all the way.