Discover three advantages of using the Neo4j graph database with existing Oracle RDBMS technologyThe rising popularity of graph databases is a trend that developers and data architects can no longer ignore.

At the same time, well-established relational database management systems (RDBMS) like Oracle aren’t going anywhere soon. Oracle RDBMS is the backbone of millions of enterprise applications and can’t (or shouldn’t) be tossed aside lightly.

However, thanks to a polyglot persistence architecture, today’s data professionals can harness the power of both a graph database like Neo4j and the established reputation of Oracle RDBMS. Using each database technology according to its strengths has a number of advantages.

In this Neo4j and Oracle blog series, we’ll explore how these two database technologies work together in tandem to deliver the best bottom-line results for both enterprise architects and business teams alike. Last week, we defined and introduced both Neo4j and Oracle RDBMS.

This week, we’ll cover the advantages of using Neo4j and Oracle to work together.

Advantage #1: Your Oracle Investment Keeps Paying Off


There are several advantages to using Neo4j and Oracle RDBMS together, beginning with the simple fact that Oracle is a trusted and well-established technology. With so many enterprise applications running on Oracle, you shouldn’t throw away your existing investments in Oracle infrastructure, tools and training.

Fortunately, you don’t have to. All of your applications can continue to use Oracle RDBMS uninterrupted. By adding Neo4j to your arsenal, you lose nothing while gaining all the strategic capabilities of a graph database.

Advantage #2: You Use the Right Database for the Job


There are scenarios where using an RDBMS versus a graph database simply makes sense, and vice versa.

Oracle is great for tabular, structured data while unstructured, highly connected or very dynamic data such as hierarchies and networks can be moved out of Oracle and into Neo4j. This enables agility. When architected to coexist, application performance will improve since fast traversals can be done against the graph using Neo4j while transactional data can be retrieved from Oracle.

Graph databases and relational databases each address specific use cases. Neo4j, therefore, doesn’t compete with Oracle but coexists with it. Together, Neo4j and Oracle enable developers and architects to use the right type of database for the right use case.

Advantage #3: You Get Superior Query Performance for Connected Data


Using Neo4j and Oracle together also enables organizations to improve application performance by offloading queries that leverage connected data.

In an RDBMS, data relationship queries can be answered by creating JOINs between database tables. However, these operations are compute- and memory-intensive, and the performance impact increases as data volumes grow. A graph database can analyze complex, connected data much faster and persist that analysis for future reference.

Depth and density of connections and data volume impact query times significantly. With Neo4j, you can query data with a depth of millions or tens of millions of connections per second per computer core, which would be the equivalent in the relational database world of millions of JOIN operations per second per core, which is impossible. There’s a big difference in speed, and this difference amplifies the tighter your connections are and the more data you have.

The more data you have, the slower it becomes to relate data in other kinds of databases, including Oracle RDBMS. Using Neo4j, a shortest path query on data with tens of billions of nodes and relationships might take one or two milliseconds to run. The equivalent SQL query would run many thousands of times slower if an application was solely using an RDBMS such as Oracle.

Conclusion


With Neo4j you can use best-of-breed technology as your applications dictate – whether that be a graph database or an Oracle relational database. As the world’s first graph database built with native graph storage and processing, Neo4j delivers unparalleled performance even as your data grows.

In the following weeks, we’ll cover three different ways to use Neo4j alongside Oracle RDBMS, taking a closer look at the advantages and disadvantages of each from an architecture perspective.


Download this white paper, How Neo4j Co-exists with Oracle RDBMS and discover how Neo4j + Oracle helps you uncover rich data connections, reduce time to market and run more efficient queries.

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About the Author

Gabe Stanek & Stefan Kolmar, Neo4j Field Engineering Team

Gabe Stanek & Stefan Kolmar Image

Gabe Stanek is VP of the Global Field Engineering organization on the Neo4j team. He has spent his entire career focused on helping people and companies achieve success with technology and realizing value out of technical investments. At Neo4j, he enjoys the opportunity to help guide the team committed to this same success.

Stefan Kolmar is the Director of Field Engineering for the EMEA region. He has been in Technical Pre-sales roles for more than 15 years, working for companies such as Tandem, Compaq and Portal Software with specific emphasis on database technologies. More recently, he took on lead Pre-Sales and Consulting roles in the DACH region for TimesTen (in-memory relational database). After TimesTen was acquired by Oracle (2006), Stefan grew to lead the entire European Oracle ISV/OEM Pre-Sales team as the Director of Sales Consulting.


1 Comment

Geoff Moore says:

But surely these three advantages apply to the use of any RDBMS alongside a graph database, not just Oracle?

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