Considerations

Best practices and limitations

• For implementation best practices and limitations, refer to the AWS documentation for the respective database service.

• If your use cases use relatively static schemas, perform complex table lookups, require accessing data across multiple keys and might experience high service throughputs it might be a better fit for Amazon RDS offerings.

Some customer journeys and lessons learned

• Amazon DynamoDB on Production: FinBox’s Compilation of Lessons Learned in a Year

• Refer to this case study to learn how McAfee’s use case of migrating from Microsoft SQL server to DynamoDB to power their next generation messaging platform to drive ecommerce business

• Watch this video on why Amazon Fulfillment choose Amazon DocumentDB to power their inventory authority platform (IAP), considerations for performance and scale, and some learnings from their experience 

• Watch this video to hear about FINRA’s story on how they modernized their data collection platform used by FINRA customers from a relational database using XML to Amazon DocumentDB.

• Idea to product: PricewaterhouseCoopers launches Check-In within three months on Amazon Keyspaces

• Watch this video to learn about the key features of ElastiCache (Redis OSS) and dive deep into how Groupon uses ElastiCache for deal curation.

• Blog post on how Near was able to reduce latency by four times and achieve 99.9% uptime of its critical RTB platform applications by moving to ElastiCache.

• LexisNexis presentation on using graph to store relationships between legal documents using Amazon Neptune.

• Cox Automotive presentation on using graph to store relationships between user identities on their web platforms to power marketing and advertising.

References

• Scale and performance characteristics of Timestream – Deriving near real-time insights over petabytes of time series data with Amazon Timestream.

• This blog post provides you with a quick summary and set of resources for common topics so you can quickly ramp up on Amazon DocumentDB.

• This blog post provides improved performance characteristics of Amazon Keyspaces, lightweight transactions API, advanced design patterns, and operational best practices. 

• AWS Online Tech Talks: ElasticCache best practices

• Getting started with Amazon Neptune by creating a graph of all of your AWS resources.

• How to migrate an application from using GridFS to using Amazon S3 and Amazon DocumentDB.

• Graph data model lets you traverse through relationships without requiring joins and indexes. For more information, refer to the "How Do I Know I Need an Amazon Neptune Graph Database?” video.

• Graph data model lets you traverse through relationships without requiring joins and indexes. For more information, refer to "How Do I Know I Need an Amazon Neptune Graph Database?”.

• Complex data models (such as arrays, nested fields, and deep relationships) let you consider a wider range of application needs. For more information, refer to the “When to use DocumentDB vs DynamoDB” video.

• DynamoDB provides extreme scale for certain data access patterns. For more information, refer to “How to determine if Amazon DynamoDB is appropriate for your needs”.

• Refer to this tech talk to learn about DocumentDB use cases, and how Amazon DocumentDB cluster architecture provides better performance, scalability, and availability.

• Amazon MemoryDB is a durable, in-memory database for workloads that require an ultra-fast Redis-compatible primary database. If you require sub-millisecond performance and need to add persistence and durability, consider using MemoryDB rather than in-memory cache for Redis. Refer to this tech talk to learn about Amazon MemoryDB.

Developer references

• Why purpose-built database? This hands-on tutorial will help you get an idea of how AWS NoSQL databases can help run your specific workloads.

Training and guidance

• To ensure that development teams were comfortable with transitioning to Amazon, it essential to train the teams on AWS NoSQL databases and cloud-based design patterns (tech talks, workshops, and Immersion Days.)