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

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

Published Feb 11, 2024

  • 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.

  • 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.

  • 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.
Benefits:
  • 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.

  • 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.

AWS Aurora Limitless Database has two types of tables: Sharded tables & Reference tables.
What are Sharded 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.
What are Reference tables?
  • 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.

  • Real-time analytics on large datasets.
  • High-volume transaction processing.
  • Ideal for managing massive datasets and heavy database usage.
Example 1: GSR
  • 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.
Example 2: Magnetic Asia
  • 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.