HAQM DocumentDB (with MongoDB compatibility) re:Invent 2019 recap

The HAQM DocumentDB team had a great time meeting with many of you at AWS re:Invent 2019, listening to your feedback and use cases, and understanding what you want us to build next. For me, the highlights of re:Invent were the two great customer use cases presented by FINRA and Fulfillment by HAQM (FBA). Both customers talk about their respective journeys migrating to HAQM DocumentDB and how they were able to scale their applications faster while enabling developers to be more efficient.

This blog post rounds up the HAQM DocumentDB recorded sessions from re:Invent 2019.

DAT372 – Migrating your databases to HAQM DocumentDB

Jeff Duffy, the senior specialist solutions architect for HAQM DocumentDB, provides an overview of customers’ strategies and considerations when migrating to HAQM DocumentDB. The session includes discussions about relational and nonrelational sources, migration phases of discovery/planning/testing/execution, cluster sizing, and migration tooling. The highlight of the session is FINRA’s story of how they migrated from a relational database using XML to HAQM DocumentDB. With HAQM DocumentDB, FINRA can move faster using JSON natively in their database because there is no transformation layer needed from the application. FINRA also discusses how HAQM DocumentDB met their high SLA and security requirements.

• Complete session video
  • Skip directly to the FINRA use case

DAT326 – HAQM DocumentDB Deep Dive

In this talk, I give an overview of why developers choose the document model, common customer use cases, examples of when you should consider an alternative data store, and how HAQM DocumentDB solves specific customer problems related to managing and scaling document databases. The highlight of the session is how Fulfillment by HAQM (FBA) reduced their database infrastructure footprint from 96 instances of their previous solution to just two HAQM DocumentDB instances. Migrating to HAQM DocumentDB simultaneously increased performance by 66 percent and reduced costs by 45 percent. FBA’s example shows the result of using the right database for the job. FBA also provides a great set of lessons learned for scaling reads and writes, and indexing strategies with HAQM DocumentDB. The talk also includes three live demos where I create a snapshot backup of a 1.5 TB cluster in less than one minute, add a new instance to the same 1.5 TB cluster in five minutes, and query data in HAQM DocumentDB with a SQL interface using the new federated query capabilities in HAQM Athena.

• Complete session video
  • Skip directly to the Fulfillment by HAQM use case

DAT338 – Hands-on workshop: How to migrate to HAQM DocumentDB

In this workshop, Daniel Bento and Hugo Rozestraten, AWS Solution Architects, walk you through what you need to think about before, during, and after migrating to HAQM DocumentDB. This workshop teaches you how to migrate workloads to HAQM DocumentDB, and also demonstrates using AWS Database Migration Service (DMS). Although this session was not recorded, you can find the step-by-step workshop content below.

• Workshop

DAT209-L – Leadership session: AWS purpose-built databases

Shawn Bice, AWS VP of Databases, provides an overview of AWS purpose-built databases and how customers use these databases to simplify their existing applications and to build net-new applications. In this talk, Tobias Ternström, Director of Product Management for HAQM RDS and Aurora, and I also discuss the data models, access patterns, and customer use cases for relational, document, key-value, graph, ledger, and in-memory databases. I discuss why Liberty Mutual chose to model their application data using JSON, and why using HAQM DocumentDB is a natural choice to be able to store, query, and index JSON data, enabling Liberty Mutual’s developers to move faster.

• Complete session video
  • Skip directly to HAQM DocumentDB and Liberty Mutual’s use case

DAT357-R – Chalk talk: Build flexible data architecture with HAQM DocumentDB change streams

In this chalk talk, Jeff Duffy and Andrew Whitaker, AWS principal engineer, walk you through how to use HAQM DocumentDB change streams to stream data to HAQM S3 for analytics, to HAQM Elasticsearch Service for enhanced search capabilities, and to HAQM ElastiCache to pre-warm a Redis cache. Though this chalk talk was not recorded on video, Jeff recorded a similar session on Twitch a few weeks before re:Invent 2019.

• Twitch recording

DAT212-L – Leadership session: Database and analytics

Raju Gulabani, AWS VP of Databases, Analytics, and Machine Learning, provides a concise overview of the entire AWS database and analytics landscape that includes new announcements, how AWS thinks about building services, and prescriptive guidance about when to use each service. Raju has led this space at AWS for nearly 10 years, and he offers a rare perspective born from building many of these services. In this talk, Raju discusses why AWS built HAQM DocumentDB.

• Complete session video
  • Skip directly to the description of HAQM DocumentDB

To learn more about HAQM DocumentDB, see the product page and documentation.

We look forward to seeing you at AWS re:Invent 2020!

About the Author

Joseph Idziorek is a Principal Product Manager at HAQM Web Services.