Legacy commercial-grade databases are
expensive, proprietary, lock you in, offer
punitive licensing terms, and come with
frequent audits. Open source solutions
provide more freedom, but can sacrifice
performance.
Amazon Aurora offers:
The best of both worlds: The flexibility
of open source meets the high
performance of commercial-grade.
Speed: 5X faster than standard MySQL
and 3X faster than standard PostgreSQL
databases.
Cost effective: 1/10 the cost of
commercial-grade databases.
5 Steps to Modernize
Your Data Strategy
The Data Flywheel is a comprehensive and additive approach that helps you get the most value
from your data. Built properly, it ultimately gains self-sustaining momentum—generating deeper
insights from more data as it spins. Creating your own Data Flywheel is not a linear process. So you
can start with any of these steps, complete them in any order—and use AWS solutions to knock
down challenges along the way.
Break free from
legacy databases 1
PROBLEM: SOLUTION:
Build modern apps with
purpose-built databases
4
Requirements for modern data—driven
applications are changing—and keeping
up with them is easier said than done.
Today's applications can require:
Purpose-built databases: Equip your
developers to use the right database for
the right job, so they can build modern,
highly scalable globally, distributed
applications—faster and more efficiently.
PROBLEM: SOLUTION:
Turn data
into insights
5
Traditional data architectures are limiting.
From operational analytics and big data
processing to real-time analytics and
machine learning, getting the most out of
your data requires the right tool for the
right job.
PROBLEM: SOLUTION:
3
https://cdn2.hubspot.net/hubfs/1624046/IDGE_Data_Analysis_2016_final.pdf
4
https://www.ciodive.com/news/the-organizational-costs-of-data-thats-hidden-in-plain-sight/516405/
No silos: Using data lakes on AWS
breaks down silos, allowing you to
collect and store any data, in its original
format, in one centralized repository.
Comprehensive and Open: With the
broadest and deepest portfolio of
purpose-built analytics tools, AWS
enables you to quickly get insights from
your data using the most appropriate
tool for the job, and with open file
formats, there is no need to move or
transform your data to analyze it.
Ready to spin up perpetual momentum for your business?
Dig into the Data Flywheel now »
Move to managed
services
2
Managing your databases and analytics
infrastructure can be complex,
time-consuming, and expensive.
Fully managed AWS databases
and analytics services provide:
Time savings: Spend more time
innovating and let AWS take care
of administrative tasks such as
server provisioning, patching, setup,
configuration, backups, and recovery.
Performance/price paradise: Get
industry-leading performance,
reliability, scalability, and security in
a cost-effective way.
PROBLEM: SOLUTION:
1
https://s3-ap-southeast-1.amazonaws.com/mktg-apac/Big+Data+Refresh+Q4+Campaign/Aberdeen+Research+-+Angling+for+Insights+in+Today's+Data+Lake.pdf
2
https://s3-ap-southeast-1.amazonaws.com/mktg-apac/Big+Data+Refresh+Q4+Campaign/Aberdeen+Research+-+Angling+for+Insights+in+Today's+Data+Lake.pdf
Modernize your
data warehouse
3
A traditional, on-premises data
warehousing strategy can't meet
the needs of the modern business.
Modernizing your data warehouse with
Amazon Redshift gives you:
Deeper insights: Query petabytes of
data across your data warehouse and
data lake to gain new insights from all
your data.
Cost-effective performance: Pay only
for what you use and know how much
you'll spend with predictable monthly costs.
PROBLEM: SOLUTION:
The average company's
data volume is growing by
more than 50% per year
1
Organizations identified
as "leaders" in data
management report
that 84% of their data
is delivered on time
2
USERS LOCALITY
1 million+ Global
PERFORMANCE VOLUME
Milliseconds–
microseconds
Web, mobile,
IoT, devices
60%
of businesses say "finding
correlations across multiple
disparate data sources" is
the #1 challenge in their
data-driven initiatives
3
