Oracle rdbms + neo4j_ fully sync relational and graph data

By Gabe Stanek & Stefan Kolmar, Neo4j Field Engineering Team | January 9, 2017 Using the Neo4j graph database doesn’t have to be opposed to your existing Oracle RDBMS infrastructure. Data recovery flash drive In fact, the two can work together. Data recovery cost One of many ways Neo4j works alongside Oracle RDBMS is to have all data fully synchronized between the two database technologies. Data recovery galaxy s5 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.


Database key field In previous weeks, we defined and introduced both Neo4j and Oracle RDBMS; we covered 3 advantages of using Neo4j with Oracle; and we explored how to migrate or sync a subset of your data between them. Data recovery nashville This week, we’ll discuss the advantages of fully synchronizing the data between your Oracle RDBMS and Neo4j, including an example of how Monsanto (a customer of both Oracle and Neo4j) fully syncs their data between the two. Data recovery minneapolis Why Sync Data between Oracle RDBMS and Neo4j Applications that integrate data from multiple data sources are a common use case for full synchronization. Database 4 net Another use case for a full synchronization arises when you have an existing set of applications writing to an Oracle database and changing those applications is cost prohibitive. Iphone 6 data recovery software free For the data to add increasing value, new technologies need to be introduced where the Oracle RDBMS is incapable. Database usa reviews This was the case for Monsanto. Easeus data recovery 94fbr Case Study: How Monsanto Synced Neo4j and Oracle Exadata Monsanto is a multinational leader in agrochemical and agricultural biotechnology. Database join Prior to adopting Neo4j, Monsanto relied on a 96-CPU Oracle Exadata installation to host its core genetic ancestry data with plenty of stored procedures, JOIN tables, recursive queries and dual indexes to optimize performance. H2 database download The Monsanto team was well-versed in Oracle tuning and optimization, with over 30 years’ experience of tuning Oracle RDBMS between them all. H2 database url However, the Exadata instance regularly failed to process genetic ancestry data in real time – a prerequisite if the team was to use a new genomic testing technique that could take a full year off of its time-to-market cycle. Data recovery boot disk The team’s first attempt to generate real-time results was to build and parse gigantic in-memory graphs. 990 database But once a query was complete, the graphs disappeared. Data recovery hard drive cost The team looked for a way to persist graph data over the long term and found Neo4j. Data recovery knoxville Within one day of discovering Neo4j, the team built a prototype with a small dataset. 7 data recovery keygen A month later, the team had the entire genetic ancestry dataset in the graph database for a beta-release application. H2 database client However, even with the Neo4j deployment in full production, dozens of applications continued to read and write data to the Exadata environment. Dayz database Instead of turning off these database connections all at once, the team built a custom API layer to sync the stream of information to and from Exadata with Neo4j. I phone data recovery The team then introduced a valuable new query interface where their data scientists could execute deeply connected queries in a simple, keyword-driven way that wasn’t previously possible with SQL algorithms. Database 3d The architecture uses Apache Kafka as a distributed commit log to feed Neo4j with live transactional data from Oracle; the team built an Oracle GoldenGate and Kafka connector, which they open sourced and made available on GitHub.

Keywords: apache kafka • Kafka connector • neo4j • Oracle • Oracle Exadata • Oracle GoldenGate • Oracle RDBMS • rdbms • recursive queries • sql

Gabe Stanek is VP of the Global Field Engineering organization on the Neo4j team. Yorku database He has spent his entire career focused on helping people and companies achieve success with technology and realizing value out of technical investments. O o data recovery 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. Data recovery illustrator 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. Database management software More recently, he took on lead Pre-Sales and Consulting roles in the DACH region for TimesTen (in-memory relational database). Database normalization example 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. Database virtualization Neo4j Community Disclaimer

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