Aerospike enables modern databases to handle real-time data processing at scale. We have implemented strongly consistent transactional algorithms and leverage innovations in systems like CPUs and memory to achieve high performance. They also focus on parallel algorithms and indexing to solve problems in areas like artificial intelligence and machine learning.
In this presentation, Aerospike Founder and CTO Srini Srinivasan covers topics such as:
Aerospike implements unique strong consistency algorithms for lower latency and higher availability.
Aerospike uses a roster-based system to manage performance and availability in a distributed system.
Aerospike’s write algorithm ensures successful writes with no data loss and coordination across replicas.
They support strong consistency for reads, offering linearizability and sequential consistency options.
Aerospike aims to provide maximum availability while preserving consistency through a rack awareness scheme.
Their strong consistency depends on a roster-based scheme where nodes make decisions based on shared information.
Aerospike extends its techniques to distributed transactions, allowing for global active-active systems with automatic data sharding.
Aerospike's deployment configuration includes a three-copy system with distributed racks across the US and UK, ensuring local reads and high availability.
Read our blogs:
"Introducing Aerospike Database 7": https://aerospike.com/blog/introducin...
"In-memory database improvements with Database 7": https://aerospike.com/developer/blog/...
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