The document discusses Amazon Web Services (AWS) database services and programs that can help customers migrate databases from on-premises environments to AWS. It describes AWS database services like Amazon Aurora, Amazon RDS, Amazon DynamoDB, and Amazon Redshift. It also outlines the Database Freedom Program which includes the Database Freedom Migration Acceleration Program (MAP) and re:Think Database Freedom for conducting proof of concept projects. The document provides examples of customer experiences migrating databases to AWS and achieving cost savings and performance improvements. It also references the Workload Qualification Framework for assessing database migration complexity and identifying the appropriate AWS service.

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Database Freedom
How AWS can help you unshackle and achieve transformation
Ramya Kaushik

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Are you operating with old world databases?
AUDIT
Very expensive Proprietary Lock-in Punitive
licensing
You’ve got mail

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Programs
Discover Database Freedom with AWS
Innovation
• Database Migration Service and Schema Conversion Tool
• Aurora MySQL and Aurora PostgreSQL, RDS for Open Source databases
• DynamoDB with DAX, EMR, Redshift and Spectrum, and other services
• New EC2 instance types
• ProServe, Partners, Service Teams
• Workload Qualification Framework
• Patterns and Recommendations
Expertise
• Professional Services, Partners, Service Teams
• Workload Qualification Framework
• Patterns and Recommendations
• Workshops
• Proofs-of-Concepts
• Incentives (e.g. MAP)

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AWS database services
Amazon Aurora
High-Performance
Managed Relational
Database
Benefit
• MySQL and
PostgreSQL
compatible relational
database with several
times better
performance
• Security, availability,
and reliability of
commercial databases
at 1/10th the cost
Amazon RDS
Managed Relational
Database Service for
MySQL,
PostgreSQL, Oracle,
SQL Server, and
MariaDB
Benefit
• Set up, operate, and
scale a relational
database in the cloud
with just a few clicks
Amazon DynamoDB
Managed NoSQL
Database
Benefit
• Fast and flexible
NoSQL database
service for any scale
• Pay only for the
throughput and storage
you need
Amazon Redshift
Fast, simple, cost-
effective data
warehousing
Benefit
• Simple and cost
effective to analyze
data using standard
SQL and your existing
Business Intelligence
(BI) tools
Amazon EMR
Managed Hadoop
framework
Benefit
• Easily run and scale
Apache Hadoop,
Spark, HBase, Preso,
Hive, and other Big
Data frameworks

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A market leader
The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester Wave™ is a graphical representation of
Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the
Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.
Forrester Research positions Amazon Web
Services as a Leader in The Forrester WaveTM:
Database-as-a-Service.
“AWS not only has the largest adoption of
DBaaS, it also offers the widest range of
offerings to support analytical, operational, and
transactional workloads.”
“AWS’s key strengths lay in its dynamic scale,
automated administration, flexibility of database
offerings, strong security, and high-availability
capabilities, which make it a preferred choice for
customers”

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AWS customer experiences
7X cheaper than Oracle 180X faster
than Oracle. Oracle 11g based DW
to Redshift.
AstraZeneca reduced processing
time from 26 hours to 40 minutes by
migration from Oracle stack to Aurora
MySQL stack
Blackboard migrated their Learning
Management System to RDS PostgreSQL
to better compete against emerging
competition. With licensing reduction
failover became affordable for their clients
and is used in all deployments.
Verizon is targeting a mass migration
off of Oracle to PostgreSQL. One
project projects potential savings of
$1.75M
Trimble Leveraged SCT to determine
target engine. Reduced infrastructure
costs to less than one-fourth of their
privately hosted infrastructure
By migrating from Microsoft SQL Server to
Amazon Aurora, Ryanair can now run one
of the largest email marketing campaigns in
Europe with higher performance at a
fraction of the cost, sending out 22 million
emails daily to customers about travel
bookings or sales events.

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AWS Database Freedom Program

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Database Freedom Program options
database
freedom program
Database Freedom Migration
Acceleration Program (DB MAP)
re:Think Database Freedom
Objective: Proof of Concept (POC) Projects
• Address technical problems
• Build AWS experience through POCs
• Gain insights and early wins
re:Think Provides:
• Technical project engagement to resolve issues,
identify POCs
Objective: Large Scale Re-Platforming and Migrations
• Business outcome driven
• Systematic approach
• Joint customer and AWS commitment and investments
Database Freedom MAP Provides:
• Support to build business case
• Based upon size of the opportunity
• Training
• Professional Services or Partner technical support
• Service credits proportional to size of opportunity
and customer commitment

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re:Think DB Freedom
Kinesis
Redshift
Aurora
DynamoDB
Lambda
For customers that want to migrate from on-prem EC2 or RDS Commercial
Engines databases to KRADL services or RDS PostgreSQL
RE:Think for Database Freedom
• Removes prerequisites: NO minimum spend requirement if this is
a Migration from Commercial Engines.
• Credits are for an initial POC to gain confidence for further migrations.
• Straight forward approval process through Business Development
Objective: Proof of Concept Projects

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Scope
Determine potential potential scope and
timelines with key stakeholders
Address questions and concerns from
technical and business stakeholders
Educate key personnel on AWS technologies
Key Activities
Analyze existing Applications/Databases for complexity and sizing
Rationalize potential re-platforming against AWS DB’s and determining
Migration effort
Provide High level timeline, effort and cost savings against existing
architecture
Outcome
Buy-in across key
stakeholders to move
forward with the DB
Freedom initiative
Resources
AWS
• DB Specialist SA’s
• ProServe/Partner
Customer
• App/DB Specialists
• Migration Lead
1
Database Freedom Workshop

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First Call
Presentation
Replatform
Lift & Shift (RDS)
Lift & Shift
(EC2/EBS)
• Workloads selected for
feasibility assessment
(e.g., by Geography,
Function or LOB)
Opportunity
Follow-up
WQF based workload
assessment to determine
risk/effort of migrations
Key data collected for
opportunity assessment
• Sizing Information
- Number of CPU’s /
Cores
- Database Size
- IOPS
- Redundancy/
Replication
- Named/Peak Users
• Licensing Info
Assessment Deliverables
• Categorization of
workloads by migration
complexity
• Sizing of Replatform
workloads
• Proof of Concepts
recommendation
Next steps to progress
opportunity:
• Best approach based
on customer needs
• POCs as appropriate
• Option for broader
environmental
assessment via AWS
or partners
• Option for licensing
assessment via
partner
• Option for
training/project work
to build customer
capability
Total Customer
Oracle Workloads
DB Freedom “2 Day Workshop”
Workshop workload selection Technical assessment Opportunity Assessment
Set for initial
evaluation
Categorization Sizing
POCs Path forward
Customer
interest in re-
platforming
from legacy
DBs
Workshop approach
1

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Disparate DB Workloads
Oracle EBS
PSFT / JDE
/ SAP
Siebel / CRM
DW / Lakes
Custom Apps
on Oracle DB
SQL*Server /
Other
DB’s
Big Data /
NoSQL
Outcomes
Re-Platforming
Gathering Data and Organizing
“Discovery & Planning”
Workload
Qualification
Framework
Assessment
Questionnaires
2-Day
Workshops
• Application Discovery
Aurora MySQL
Aurora PostgreSQL
DynamoDB
Redshift
Relational Database Service
Oracle
SQL Server
MySQL
PostgreSQL
Compute & Storage
Elastic Compute
Elastic Block Storage
Other Options
Simple Storage
• Migration Hub
• Migration Readiness Program
IncreasingValue
Workload analysis
12

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• The WQF includes self-service tools, a questionnaire, and design review guidance that Solutions Architects,
Partners and Consultants can use to classifying workloads to determine the ease of migration, staff-hour
consumption and to which appropriate AWS Service to migrate
• There are two main types of database workloads:
• Online Transaction Processing (OLTP): many small/fast transactions and queries via indexes that
return few rows
• Data Warehouse (DW): interactive and long-running queries that scan millions of rows and batched
updates
• WQF classifies OLTP and DW workloads into five categories:
Category 1 ODBC/JBDC workloads
Category 2 Light, proprietary feature workloads
Category 3 Heavy, proprietary feature workloads
Category 4 Engine-specific workloads
Category 5 Non-portable, high-risk or lift-and-shift
Workload Qualification Framework (WQF)

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Workshop output
Answered question list
Design Brief – logical architecture describing decision points and technology selections
Application & DB Categorizations
Workload sizing & parts list
Actions Register – next steps list owned by Account team
Assessment of timelines

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AWS database partners
Migration SI Partners License Advisory Partners

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Partner Programs and resources for
database migration
Database Migration Partners
Partners who have a
proven practice in
heterogeneous migrations
Migration Acceleration Program (MAP)
• For customers migrating
workloads with >$1M ARR
post-production
Partner Migration Program (PMP)
• For Migration Competency Partner-
led migration activities
New! Database Licensing
Partners
Evaluate licensing compliance in
migration planning phase
*Now eligible for MAP and PMP
funding

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Thank You