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b'If you use MongoDB, then you may be feeling ecstatic right now. Why? Amazon Web Services (AWS) just released DocumentDB with MongoDB compatibility. Users who switch from MongoDB to DocumentDB can expect improved speed, scalability, and availability. \\nToday, we\\u2019re talking to Shawn Bice, vice president of non-relational databases at AWS, and Rahul Pathak, general manager of big data, data lakes, and blockchain at AWS . They share AWS\\u2019 overall database strategy and how to choose the best tool for what you want to build.\\nSome of the highlights of the show include:\\n\\nDatabase Categories: Relational, key value, document, graph, in memory, ledger, and time series\\nAWS database strategy is to have the most popular and best APIs to sustain functionality, performance, and scale\\nMany database tools are available; pick based on use case and access pattern\\nProduct recommendations feature highly connected data - who do you know who bought what and when?\\nAnalytics Architecture: Use S3 as data lake, put in data via open-data format, and run multiple analyses using preferred tool at the same time on the same data \\nAWS offers Quantum Ledger Database (QLDB) and Managed Blockchain to address use case and need for blockchain\\nAuthenticity of data is a concern with traditional databases; consider a database tool or service that does not allow data to be changed\\nLake Formation lets customers set up, build, and secure data lakes in less time\\nDocumentDB: Made as simple as possible to improve customer experience\\nAWS Culture: Awareness and recognition that it takes many to conceive, build, launch, and grow a product - acknowledge every participant, including customers\\n\\nLinks:\\n\\nAmazon DocumentDB\\nMongoDB\\nAmazon RDS\\nReact\\nAurora\\nre:Invent\\nDynamoDB\\nAmazon Neptune\\nAmazon Elasti-Cache\\nAmazon Quantum Ledger Database\\nAmazon Timestream\\nAmazon S3\\nAmazon EMR\\nAmazon Athena\\nAmazon Redshift\\nAmazon Managed Blockchain\\nAmazon EC2\\nAmazon Lake Formation\\nPerl\\nCHAOSSEARCH'