Data management is at the heart of every enterprise, especially with online operations. Though many have used MySQL relational databases to manage their data, the rise of NoSQL (Not Only SQL) and its faster data operations has come into use with the amount of data being created.
One of the leading NoSQL platforms on the market today is Amazon Web Services’ DynamoDB, a database platform Amazon built for their own operations. Designed to be scalable and highly available, the platform also comes with self-recovery and resilience built-in.
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Here are 3 reasons why we recommend the platform to our customers:
- DynamoDB is a Managed Platform: With a managed service, users only interact with the running application itself. You don’t need to worry about things like server health, storage, and network connectivity. With Amazon DynamoDB, AWS provisions and runs the infrastructure for you. Some features include the ability to backup to Simple Storage Service (S3), a pay-per use model, and built-in security.
- High Scalability: As with most AWS solutions, you can assume that Amazon DynamoDB will be extremely scalable. With their automatic partitioning model, as data volumes grow, DynamoDB invisibly spreads the data across partitions and raises throughput. This requires no intervention from the user.
- Integrations with AWS Big Data Solutions: NoSQL and Big Data technologies are often discussed together, because they both share the same distributed and horizontally scalable architecture, and both aim to provide high volume, structured, and semi-structured data processing. For example, AWS Elastic MapReduce (EMR) executes complex data analyses on DynamoDB, while AWS RedShift data warehousing is carried out on data found on DynamoDB.
What are your data management challenges? Let us know in the comments section below or how DynamoDB is working for you if you’re already a user.
Want to get more out of your migration to Amazon Web Services (AWS)? Reach out to us at firstname.lastname@example.org today and download our AWS guide below for more use cases.