Level Up Your Data Management Game: Unleash Performance in Aurora Limitless

What is AWS Aurora?

• Aurora is part of Amazon RDS.
• It supports MySQL and PostgreSQL relational databases.
• It offers cost-effectiveness with auto-scaling capabilities.
• It provides simplicity in setup and operation.
• Aurora supports clustering replication.

What is Aurora Limitless?

• Aurora Limitless supports PostgreSQL-compatible Aurora databases.
• It allows scaling beyond the limits of an Aurora database instance.
• It enables horizontal scaling of write throughput for increased storage capacity.
• It ensures transactional consistency by distributing data and query load across multiple Serverless instances.
• Aurora Limitless features auto-scaling, eliminating the need for manual provisioning.
• Additional capacity for writers and readers is provided through the Aurora cluster.
• Distributed query planning and transaction management facilitate transparent scaling complexity.

What is distributed query planning on scaling complexity transparently?

• Distributed query planning optimizes queries.
• It allows retrieval of data stored across multiple databases.
• It enables optimal parallelization of query execution while maintaining transactional consistency.
• It behaves as a single logical instance, optimizing performance and resource utilization.

• Supports high write throughput and storage beyond a single instance's capabilities.
• Enables horizontal scaling for unpredictable and rapidly growing workloads.
• Automates sharding and replication processes.

What is transaction management on scaling complexity transparently?

• involves coordinating operations across distributed databases.
• ensures data integrity by addressing issues related to parallelized operations, concurrency, replication, and distributed queries.
• coordinates transactions across scaled-out databases, allowing seamless horizontal scaling.

Sharded tables & Reference tables

• Sharded tables are distributed across multiple database shards.
• Data is split based on designated columns (shard keys) and stored in sharded tables.
• Sharded tables are used for extremely large tables that need to be horizontally partitioned across instances.
• The main benefit of sharded tables is scaling and achieving high throughput.

• Reference tables contain data that is present on every shard.
• They allow join queries to work faster by reducing unnecessary data movement across shards.
• Reference tables are typically used for infrequently modified reference data, such as zip codes.

Use cases of using Aurora:

• Real-time analytics on large datasets.
• High-volume transaction processing.
• Ideal for managing massive datasets and heavy database usage.

• GSR, one of the largest Crypto Market Makers.
• Handles more than 1.1 million trades per day.
• Utilizes Aurora for high performance and availability at a global scale.

• Magnetic Asia operates a live streaming events platform called Total Streaming, with up to 50,000 attendees.
• Their virtual ticketing solution, Total Ticketing, relies on Aurora.
• Aurora intelligently scales the database based on workload requirements.

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