Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data. It supports both the Property Graph model and RDF, enabling efficient execution of graph queries using Apache TinkerPop Gremlin and SPARQL, respectively. Neptune is designed for applications such as social networking, recommendation engines, fraud detection, and knowledge graphs.
Amazon Neptune
Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data. It supports both the Property Graph model and RDF, enabling efficient execution of graph queries using Apache TinkerPop Gremlin and SPARQL, respectively. Neptune is designed for applications such as social networking, recommendation engines, fraud detection, and knowledge graphs.
Howdy Network Rank#93
Top 5*
Database Technologies
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills Glossary
About Amazon Neptune
Amazon Neptune was announced by Amazon Web Services (AWS) in November 2017 and became generally available in May 2018. It was created to address the need for a fully managed graph database service that could handle highly connected data efficiently. The goal was to provide a scalable, reliable, and secure solution for applications requiring complex relationships and real-time query capabilities.
Amazon Neptune's strengths include its fully managed nature, support for both Property Graph and RDF models, high availability, and scalability. Weaknesses may include higher costs compared to self-managed solutions and potential vendor lock-in. Competitors include Neo4j, Microsoft Azure Cosmos DB (with Gremlin API), and Google Cloud's Graph Engine.
Hire Amazon Neptune Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Amazon Neptune expert
An Amazon Neptune expert must possess skills in graph database design and optimization, proficiency in query languages like Gremlin and SPARQL, and experience with AWS services such as IAM, CloudWatch, and VPC. Knowledge of data modeling for Property Graphs and RDF, as well as familiarity with ETL processes for graph data, are also essential.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.