Advancements in application architectures, development processes, and storage have enabled organizations to take advantage of cloud benefits such as agility, elasticity, and scale-out across most layers of the infrastructure stack. But one key element - the database tier - has remained stubbornly difficult to modernize. Often, as organizations move toward container and cloud-based environments, they end up leaving their database, their SQL skillsets, expectations of transactional consistency, and sometimes even their precious data behind.
To address this problem, a new class of database - the elastic SQL database - has emerged. These solutions combine the ACID guarantees and SQL interface on which applications rely, while also allowing dynamic capacity management, continuous availability, multi-datacenter operation, and radical operational simplicity.
Learn how to take advantage of this technology to optimize your application for fast transactional responsiveness, continuous availability, and full-active database utilization, even across multiple clouds, data centers, or hybrid environments.
This presentation covers:
• Why the need for an elastic SQL database
• What can you do with one and best use cases for an elastic SQL database
• Examples of how an elastic SQL database works
• Benefits of optimizing/configuring for:
• fast application data access
• continuous availability
• deployment across data centers
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Elastic SQL Database: Oxymoron or Emerging Reality? (Database Month, June 2017)
1. Ariff Kassam, VP of Products – akassam@nuodb.com
Christina Wong, Dir. of Product Marketing – cwong@nuodb.com
ELASTIC SQL: FROM OXYMORON
TO EMERGING REALITY
June 23, 2017
22. End-to-end Asset Finance Software Platform
CHALLENGE
+ Migrating industry-leading
application to SaaS model
+ Lack of cloud offering
inhibiting growth
+ MySQL couldn’t scale far
enough; Oracle licensing
on AWS too expensive
WHY NuoDB
+ Designed for elastic cloud
scalability
+ Continuous availability
with active-active
architecture
+ Maintains transactional
integrity
BENEFITS
+ Strong ROI for Alfa – and
their clients
+ Reduce infrastructure cost
by 90% over Oracle
+ Increase application
availability and minimize
response time
However, one layer of application architectures has not evolved as fast or as far as the other application layers - that’s the Data Access layer. More specifically, relational databases haven’t adapted to infrastructure improvements
Performance improvements required scale up by increase cpu, memory and disk capacity
Certain database vendors have advanced memory sharing architectures to enable limited scale out
Only proven solution requires application changes to shard the database into smaller databases - well known challenges with database sharding