Is Neptune OLAP or OLTP?
Amazon Neptune is designed to support highly concurrent online transactional processing (OLTP) workloads over data graphs.
What is Amazon Neptune used for?
What is Amazon Neptune? Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. SQL queries for highly connected data are complex and hard to tune for performance.
What is a purpose-built database?
Purpose-built database models are designed from the ground up to perform the specific functions these applications require—quickly and efficiently. PURPOSE-BUILT. Right tool for the right job. Better performance. Cloud scale.
What type of database is Amazon DynamoDB?
key-value NoSQL databaseAmazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools.
Is Amazon NoSQL a Neptune?
Amazon Neptune is a fully managed NoSQL graph database service, that provides applications to use highly connected datasets for their use cases. Amazon Neptune is a high-performance Graph Database, that can store and query billions of relationships in milliseconds.
Does Amazon Neptune support SQL?
SQL queries for highly connected data are complex and hard to tune for performance. Instead, Amazon Neptune allows you to use the popular graph query languages Apache TinkerPop Gremlin and W3C's SPARQL and openCypher to execute powerful queries that are easy to write and perform well on connected data.
What type of databases does Amazon use?
Amazon Relational Database Service Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora , PostgreSQL , MySQL , MariaDB , Oracle Database , and SQL Server .
What kind of database does AWS use?
AWS database services for open source engines Amazon RDS supports 6 familiar engines, including 3 open source databases: MySQL, PostgreSQL, and MariaDB.
Does Amazon use Oracle database?
Amazon Web Services supports Oracle databases and offer enterprises a number of solutions for migrating and deploying their enterprise applications on the AWS cloud.
Is DynamoDB columnar database?
DynamoDB uses a NoSQL database model, which is nonrelational, allowing documents, graphs and columnar among its data models.
Is DynamoDB a relational database?
Instead of the relational model, NoSQL databases (like DynamoDB) use alternate models for data management, such as key-value pairs or document storage. For more information, see What is NoSQL? .
Why does Amazon use NoSQL database?
NoSQL databases enable you to store data with flexible schema and a variety of data models. These databases are relatively easy for developers to use, and have the high performance and functionality needed for modern applications. NoSQL AWS databases can hold large volumes of data while still providing low latency.
Who uses Amazon Neptune?
Amazon Neptune is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Amazon Neptune usage goes back as far as 4 years and 5 months....Who uses Amazon Neptune?CompanyUPMCCountryUnited StatesRevenue>1000MCompany Size>100008 more rows
What is Sparql used for?
SPARQL can be used to express queries across diverse data sources, whether the data is stored natively as RDF or viewed as RDF via middleware. SPARQL contains capabilities for querying required and optional graph patterns along with their conjunctions and disjunctions.
How is data stored in Neptune?
Neptune data is stored in a cluster volume, which is a single, virtual volume that uses Non-Volatile Memory Express (NVMe) SSD-based drives. The cluster volume consists of a collection of logical blocks known as segments. Each of these segments is allocated 10 gigabytes (GB) of storage.
What is Neptune repair?
Neptune offers a wide portfolio of maintenance, repair and conversion services, all undertaken in a fast, secure and above all safe manner. These can take place either at our yards at Hardinxveld and Aalst in the Netherlands, or if required at alternative locations specified by the client.
Database services
Relational databases store data with predefined schemas and relationships between them. These databases are designed to support ACID transactions, and maintain referential integrity and strong data consistency.
Use cases
Automate the time-consuming tasks of setting up, managing, and scaling databases. Spend more time on application development versus the undifferentiated heavy lifting of provisioning and managing databases on-premises.
Case studies
Experian uses Amazon DynamoDB and Amazon Aurora’s high availability to achieve 100 percent operation uptime.
Introduction
With Amazon Neptune, you can create sophisticated, interactive graph applications that can query billions of relationships in milliseconds. SQL queries for highly connected data are complex and hard to tune for performance.
High Performance and Scalability
High Throughput, Low Latency for Graph Queries Amazon Neptune is a purpose-built, high-performance graph database engine. Neptune efficiently stores and navigates graph data, and uses a scale-up, in-memory optimized architecture to allow for fast query evaluation over large graphs.
High Availability and Durability
Instance Monitoring and Repair The health of your Amazon Neptune database and its underlying EC2 instance is continuously monitored. If the instance powering your database fails, the database and associated processes are automatically restarted.
Open Graph APIs
Supports Property Graph Apache TinkerPop Gremlin Property Graphs are popular because they are familiar to developers that are used to relational models. Gremlin traversal language provides a way to quickly traverse Property Graphs.
Highly Secure
Network Isolation Amazon Neptune runs in Amazon VPC, which allows you to isolate your database in your own virtual network, and connect to your on-premises IT infrastructure using industry-standard encrypted IPsec VPNs.
Fully Managed
Easy to Use Getting started with Amazon Neptune is easy. Just launch a new Neptune database instance using the AWS Management Console. Neptune database instances are pre-configured with parameters and settings appropriate for the database instance class you have selected.
Fast Parallel Bulk Data Loading
Property Graph Bulk Loading Amazon Neptune supports fast, parallel bulk loading for Property Graph data that is stored in S3. You can use a REST interface to specify the S3 location for the data. It uses a CSV delimited format to load data into the Nodes and Edges. See the Neptune Property Graph bulk loading documentation for more details.
Amazon Aurora
Amazon Aurora is a MySQL and PostgreSQL compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Amazon DynamoDB
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multiregion, multimaster database with built-in security, backup and restore, and in-memory caching for internet-scale applications.
Amazon ElastiCache
Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases.
Amazon Keyspaces (for Apache Cassandra)
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today.
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
Amazon Relational Database Service
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.
Amazon RDS on VMware
Amazon Relational Database Service (Amazon RDS) on VMware lets you deploy managed databases in on-premises VMware environments using the Amazon RDS technology enjoyed by hundreds of thousands of AWS customers.