Updating your database development

If you are looking to migrate your existing databases to AWS, the AWS Database Migration Service makes it easy and Amazon Aurora is a My SQL and Postgre SQL-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 Aurora provides up to five times better performance than My SQL and up to three times better performance than Postgre SQL with the security, availability, and reliability of a commercial database at one-tenth the cost.For more information visit the AWS DMS product page.Expedia built a real-time data warehouse for lodging market pricing and availability data for internal market analysis using Aurora, Redshift, and Elasti Cache.Amazon RDS provides you six familiar database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, Postgre SQL, Amazon Dynamo DB is a fast and flexible No SQL database service for all applications that need consistent, single-digit millisecond latency at any scale.It is a fully managed cloud database and supports both document and key-value store models.

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Amazon Neptune supports popular graph models Apache Tinker Pop and W3C's RDF, and their associated query languages Tinker Pop Gremlin and RDF SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.AWS database services are helping Johnson and Johnson improve physician compliance, optimize supply chain, and discover new drugs.Zynga migrated the Zynga poker database from My SQL farm to Dynamo DB and got a massive performance boost, with queries that used to take 30 seconds now taking one second.For more information visit the Amazon Elasti Cache product page.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.The system processes high-volume lodging pricing and availability data, performing a multi-stream union and self-join with a 24-hour lookback window using Elasti Cache for Redis, and persists the processed data directly into My SQL Aurora and Redshift to support both operational and analytical queries.

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