SQL Server 2017 Overview and Partner Opportunities

SQL Server 2017
Power your entire data estate from on-premises to cloud

Agenda
• Market Opportunity & Background
• Introduction to SQL Server 2017 on Windows and Linux
• Partner Opportunities

Widely available
unstructured data
Deliver powerful insights
over big data
Massive
data growth
Build data
into all your apps
50ZB
1010
0101
0010
{ }
Analytics driving
digital transformation
Modernize your apps
with built-in analytics
New opportunities
in a changing data landscape

Most secure database over the last 7 years
Highest performing data warehouse
End-to-end mobile BI at a fraction of the cost
In-database Advanced Analytics
An industry leader four years in a row
SQL Server 2016Everything Built-in
This graphic was published by Gartner, Inc. as part of a larger research document and should be
evaluated in the context of the entire document. The Gartner document is available upon request.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does
not advise technology users to select only those vendors with the highest ratings or other designation.
Gartner research publications consist of the opinions of Gartner's research organization and should not
be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect
to this research, including any warranties of merchantability or fitness for a particular purpose.

0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2016)

non-clustered results
#1

1 Million
PREDICTIONS/SEC

SQL Server 2017
Run on Linux & Docker
Support for Graph queries to analyze complex relationships
Advanced Machine Learning with R & Python
Adaptive query processing learns & optimizes for unparalleled performance
SQL Server
2017

z
SQL Server 2017
Engage market-leading solutions for every workload
Advanced analytics, business intelligence, OLTP, data warehousing
Enable innovation through
technology—any language, any
data, any size, any platform
Solve new problems faster
with enhanced data integration
across your data estate
Enjoy security and unmatched TCO
with fewer products and services
powering your data estate
INTELLIGENT TRUSTED FLEXIBLE

Businesses
are embracing
choice
1010
0101
0010
{ }
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
Heterogenous
environments
Multiple data types
Different
development languages
On-premises, cloud,
and hybrid environments

Microsoft
is delivering
on choice
SQL Server on Linux
HDInsight on Linux
R Server on Linux
Linux in Azure
SQL Server drivers
and connectivity
Visual Studio Code extension for
SQL Server
Python,
Ruby, …
20,000 applications for the SQL Server on Linux private
preview program, including more than 55% of Fortune
500 companies.
NEW
1/3 of VMs in Azure are on Linux

The world
is demanding
SQL Server
on Linux
21K+applications for private preview
55%of Fortune 500 signed up in first week
Most popular Scott
Guthrie tweet ever
1.5Kretweets
#1TechMeme Hacker News

There’s big
opportunity
$15B+
Linux DB
market by 2019
Relational DB market
growth through 2019
6.6%
per year
Microsoft is the only Gartner
RDBMS Magic Quadrant
vendor without
support for Linux

• Linux distributions including
RedHat Enterprise Linux (RHEL),
Ubuntu, and SUSE Enterprise
Linux (SLES)
• Docker: Windows & Linux
containers
• Windows Server / Windows 10
• Package-based installation,
Yum Install, Apt-Get, and Zypper
Power of SQL Server on the platform of your choice
Linux
Linux/Windows container
Windows
FLEXIBILITY

• Run the world’s leading data
platform on any environment
• Works on any operating system
including Windows, Linux,
Docker
• Runs on any cloud including
Azure, 3rd party hosting
providers
• Use on-prem licenses in the
cloud with License Mobility,
a Software Assurance benefit
Run SQL Server anywhere
FLEXIBILITY
Any platform, any cloud
SQL Server 2017
Azure 3rd

System Architecture
SQL Platform Abstraction Layer
(SQLPAL)
DB
Engine
IS AS RS
Windows Linux
Windows
Host Ext.
Linux Host
Extension
SQL Platform Abstraction Layer
(SQLPAL)
Win32-like APIs
Host Extension mapping to OS system calls
(IO, Memory, CPU scheduling)
SQL OS API
SQL OS v2
Everything else
System Resource & Latency
Sensitive Code Paths

Windows Linux GA
Developer, Express, Web, Standard, Enterprise  
Database Engine  
R Services, Integration Services, Analysis Services, Reporting Services, MDS, DQS 
Maximum number of cores Unlimited TBD
Maximum memory utilized per instance 12 TB TBD
Maximum database size 524 PB TBD
Basic OLTP (Basic In-Memory OLTP, Basic operational analytics)  
Advanced OLTP (Advanced In-Memory OLTP, Advanced operational analytics)  
Basic high availability (2-node single database failover, non-readable secondary)  
Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)  
Security
Basic security (Basic auditing, Row-level security, Data masking, Always Encrypted)  
Advanced security (Transparent Data Encryption)  
Data
warehousing
PolyBase2 
Basic data warehousing/data marts (Basic In-Memory ColumnStore, Partitioning,
Compression)
 
Advanced data warehousing (Advanced In-Memory ColumnStore)  
Advanced data integration (Fuzzy grouping and look ups) 
Tools
Windows ecosystem: Full-fidelity Management & Dev Tool (SSMS & SSDT), command
line tools
 
Linux/OSX/Windows ecosystem: Dev tools (VS Code), DB Admin GUI tool, command
line tools
 
Developer
Programmability (T-SQL, CLR, Data Types, JSON)  
Windows Filesystem Integration - FileTable 
BI & Advanced
Analytics
Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular
model)

Basic “R” integration (Connectivity to R Open, Limited parallelism for ScaleR) 
Advanced “R” integration (Full parallelism for ScaleR) 
Hybrid cloud Stretch Database 
What’s
coming in
SQL Server
on Linux

Programming Features
• Support for RHEL, SUSE, Ubuntu, Docker
• Package based installs, Docker image
• Support for Open Shift, Kubernetes, Docker Swarm, DC/OS
• Failover Clustering through Pacemaker
• Backup/Restore
• SSMS on Windows connected to Linux
• Command line tools: sqlcmd, bcp, sqlpackage
• SQL Server Agent
• Log Shipping
• Transparent Data Encryption
• SCOM Management Pack
• DMVs
• Full Text Search
Operations Features
• All major language driver compatibility
• In memory OLTP and ColumnStore
• Compression
• Always Encrypted, Row Level Security, and Data Masking
• Service Broker
• Change Data Capture
• Partitioning
• Auditing
• CLR
• JSON, XML
• Third party tools
What’s working already?
…and more!

• Most secure platform, with the
least vulnerabilities in the NIST
vulnerability database
• Encrypt data at rest and in motion
with Always Encrypted on new
driver libraries
• Conceal sensitive information with
Dynamic Data Masking
• Control access to database rows
based on user characteristics with
Row-Level Security
• File-level protection with
Transparent Data Encryption
Protect your data at all times on Windows and Linux
SECURITY
Always Encrypted
Query
Client side Server side
Data set
Enhanced
SQL Server
Library
CIPHERTEXT
Search for single
customer record
Sensitive data remains
encrypted inside SQL Server
Result set with
unencrypted data
Column master key Column encryption key
Customer Credit card # Exp.
Denny Usher 0x7ff654ae6d 5/174949-8003-8473-1930
Customer Credit card # Exp.
Tim Irish 4839-2939-1919-3987 7/19
Denny Usher 4949-8003-8473-1930 5/17
Alicia Hodge 9000-4899-1600-1324 4/18
Credit card #
1x7fg655se2e
0x7ff654ae6d
0y8fj754ea2c

Always On new hybrid HA scenario
• Always On Groups for Linux
NEW*
and Windows for HA and DR
• Flexibility for HA architectures
NEW*
• Ultimate HA with OS-level
redundancy and failover
• Load balancing of readable
secondaries
Mission critical HA on any platform
DATA MANAGEMENT // OPERATIONAL DATA
• High Availability
• Offload Backups
• Scale BI Reporting
• Enables Testing
• Enables Migrations

Industry-leading performance with SQL Server 2017
• Improve transactional
performance with row-based
in-memory OLTP
• Speed analytics and reduce
storage needs with
ColumnStore compression
• Combine for real-time
operational analytics (HTAP)
• Speed query performance
without tuning using new
Adaptive Query Processing
NEW*
• Maintain performance when
making app changes with
Automatic Plan Correction
NEW*
0100101010110
In-memory
ColumnStore
In-memory
OLTP
ETL
Real-time operational analytics with hybrid transactional-analytical
processing (HTAP)
Challenge to
manage massive
credit card data
Pair active data with
In-Memory OLTP table
for quick access
Speed performance by
compressing data in In-
memory Columnstore
Faster queries and
processing enables real-
time detection of errors

• Most efficient query processing
with 1TB world record
benchmark
• Achieve petabyte data
warehouse scale on Windows
and Linux
NEW*
• #1 price/performance in 1TB,
10TB and 30 TB TPC-H non-
clustered benchmark
• Reference architectures from
major hardware partners
Petabyte-scale data warehousing
DATA MANAGEMENT // DATA WAREHOUSING
#1 performance and value for TPC-H 1TB benchmark non-clustered
$0.64 $0.61
678,492 717,101
GREAT PERFORMANCE GREAT VALUE
Read the performance brief at hpe.com/servers/benchmarks.
Microsoft and Windows are U.S. registered trademarks of Microsoft Corporation. Red Hat, Red Hat Enterprise Linux, and the Shadowman logo are registered trademarks of Red Hat, Inc. Linux is a registered trademark
of Linus Torvalds. Intel and Xeon are trademarks of Intel Corporation in the U.S. and other countries. TPC and TPC-H are trademarks of the Transaction Processing Performance Council. TPC-H results show the HPE
ProLiant DL380 Gen9 with a result of 717,101 QphH @ 1000GB and $0.61/QphH USD with system availability as of 10-19-2017 (results published 04-19-2017; see http://www.tpc.org/xxxx); the HPE ProLiant DL380 Gen9
with a result of 678,492 QphH @1000GB and $0.64/QphH @ 1000GB with system availability as of 07-31-2016 (results published 03-24-2016; see tpc.org/3320). The TPC believes that comparisons of TPC-H results
published with different scale factors are misleading and discourages such comparisons. Please see tpc.org for up-to-date information. Competitive claims valid as of 04-19-2017.
HPE server with
SQL Server 2016 on
Microsoft Windows
HPE server with
SQL Server 2016 on
Red Hat Enterprise Linux
HPE server with
SQL Server 2016 on
Microsoft Windows
HPE server with
SQL Server 2016 on
Red Hat Enterprise Linux
QUERYPERHOUR(QPHH)
$/QUERYPERHOUR($/QPHH)

• Bring graph data
NEW*
support to
your relational data to store and
analyze new types of
relationships
• Query data stored in Hadoop
with PolyBase
• Hadoop combined with
SQL Server provides value
and insight from data lakes
The power to query over any type of data
DATA SOURCES
Graph data support
Quarterly
business
review
Andy
Smith
Mary
Jones
Denny
Usher
Bill
Brown
Rachel
Hogan
Product
dev project
IT
assessment
Eric
Mears
Michelle
Burns
HR team can determine
which staff are working
on which projectsProjects
Managers
Associates

• In-database analytics with R and
now Python
NEW*
enables users to
push intelligence to where data lives
• Parallelized and at scale
• Industry-leading innovation in
artificial intelligence to discover
insights faster
• Advanced machine learning
algorithms with GPUs
Real-time intelligence with machine learning built-in
DATA INSIGHTS // ADVANCED ANALYTICS
In-database analytics with R and Python
Store
Predictions
In-memory
OLTP
ColumnStore Power BI
dashboard
R
Business user
Prepare
for analytics
Visualize
Data from 8M
vehicle loans
Predicts loan
defaults
Age, original balance, interest rate,
loan remaining months, credit score
1M
predictions
per sec
Python

Play to win
Linux/macOS-loyal devs building
new apps can develop on
their platform of choice
New opportunities for SIs and ISVs
to sell to non-Windows customers
Migrate apps from competitive
RDBMS currently on Linux to
gain TCO advantage
Upgrade customers on older
versions of SQL Server
Migrate existing
apps
Win new apps
Upgrade Partner with SIs and
ISVs
Use SQL Server vNext
to increase revenue

Migrate existing apps
• Lead with a TCO conversation vs. Oracle
• Lead with enterprise support and feature set
vs. MySQL Community, Postgres, other OSS
• SQL Server Migration Assistant ready for SQL
Server on Linux at Public Preview
• Data Sources: Oracle, MySQL, DB2, Sybase, Access
Migrate apps from competitive
RDBMS currently on Linux to
gain TCO advantage
Migrate existing
apps
29% of private preview
customers want to migrate from
MySQL on Linux to SQL Server on
Linux
19% of private preview
customers want to migrate from
Oracle on Linux to SQL Server on

Win new apps
• Docker support, integration with DevOps
• Easy and fast installation
• New drivers for Java, PHP, ODBC, Python,
Ruby, Node.js
• New cross platform tools
• Developer Edition is free and full featured
• New getting started content and samplesLinux/macOS-loyal devs building
new apps can develop on
their platform of choice
Win new apps
78% want to build new
applications on SQL Server on Linux

Upgrade
• Use SQL Server on Linux as a lever to
upgrade SQL Server to the latest
version
• SQL Server Data Migration Assistant is
ready to support upgrades to SQL
Server on Linux
• Backup/restore migration simplicity
due to binary compatibilityUpgrade SQL Server customers that
would like to switch to Linux
Upgrade
54% want to migrate from
SQL Server on Windows to SQL
Server on Linux

SQL Server 2017 Timeline
3/2016
Announce and
private preview
11/2016
Public Preview @
Connect()
Targeting
2H CY2017
General Availability
Monthly releases
CTP2 – production support for EAP

ISVs, service providers and hosters with customers in EAP will also be added to EAP so they can participate there.
• Direct access to engineering
team via PM buddy and
Yammer group
• Visibility into roadmap
• Provide feedback and input
into design of new features
and functionality
• Full production support from
Microsoft Support via special
support channel
• License amendment to allow
running 2017 in production
prior to GA
• Release to release upgrade
support
• Real world usage of SQL
Server in production to verify
quality, scale and
performance
• Discover bugs
• Discover issues preventing
customer adoption in
production
• Document customer
evidence
• NDA
• Sign license agreement
amendment
• Complete pre-deployment
questionnaire
• Meet with Microsoft Support
Customer Benefits Microsoft Goals Requirements
SQL Server Early Adoption Program

Download the bits
www.sqlserveronlinux.com
Apply to join the
SQL Early Adoption Program
https://aka.ms/eapsignup

Resources
RHEL-based SQL Server container Dockerfile
https://github.com/twright-msft/mssql-server-rhel
Example voting application
https://github.com/twright-msft/example-voting-app
JBoss Day Trader application
https://github.com/twright-msft/jboss-daytrader
Install SQL Server on RHEL
https://docs.microsoft.com/en-us/sql/linux/sql-server-
linux-setup-red-hat
SQL Server Developer Tutorials
http://aka.ms/sqldev
Early Adoption Program Info and Sign up
http://aka.ms/eapsignup
Red Hat Product Demo System – Available Now!
• SQL Server
• .NET Core
http://rhpds.redhat.com
Benchmark blog post
http://rhelblog.redhat.com/2017/04/19/microsoft-red-
hat-hpe/

The complete modern data estate
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
DATA SOURCES DATA INSIGHTS
Datavirtualization
DATA MANAGEMENT
Dataintegration
SECURITY
FLEXIBILITY
Business intelligence
Advanced Analytics
& AI
Big data processing
Data warehousing
Operational data
Choice of platform, language, location
Secure data, access, application

SQL Server
POWERING YOUR DATA ESTATE

Power your entire data estate with SQL Server 2017
Advanced Analytics
Analytics
at a fraction
of the cost on
any device
1M predictions
per second
0
50
100
150
Vulnerabilities
(2010-2016)
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Microsoft Tableau Oracle
$120
$480
$2,230
DatavirtualizationPolyBase
DATA MANAGEMENT
DataintegrationSSIS
Big data processing
Data warehousing
Operational data
#1
performance
in TPC-HScale to petabytes
T-SQL query
over any data
1010
0101 { }
Leader
in TPC-E
#1
#2
#3
Least vulnerable
over the last 7 years
R
PB
Any language,
any platform, anywhere
Support for
R and Python
An industry leader
four years in a row
+
SECURITY
FLEXIBILITY
SQL Server SAP HANA PostgreSQL IBM DB2 Oracle MySQL
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select
only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
National Institute of Standards and Technology Comprehensive Vulnerability Database update 2017.
TPC-H non-clustered results as of 2017 respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
.NET Azure 3rd
JAVA

Power your entire data estate with SQL Server 2017
Advanced Analytics
Analytics
at a fraction
of the cost
on any
device
1M predictions
per second
0
50
100
150
Vulnerabilities
(2010-2016)
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Microsoft Tableau Oracle
$120
$480
$2,230
DatavirtualizationPolyBase
DATA MANAGEMENT
DataintegrationSSIS
Big data processing
Data warehousing
Operational data
#1
performance
in TPC-HScale to petabytes
T-SQL query
over any data
1010
0101 { }
Leader
in TPC-E
#1
#2
#3
Least vulnerable
over the last 7 years
R
PB
Any language,
any platform, anywhere
Support for
R and Python
An industry leader
four years in a row
+
SECURITY
FLEXIBILITY
SQL Server SAP HANA PostgreSQL IBM DB2 Oracle MySQL
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select
only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
National Institute of Standards and Technology Comprehensive Vulnerability Database update 2017.
TPC-H non-clustered results as of 2017 respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
.NET Azure 3rd
JAVA
Powered by
SQL Server 2017

• Mobile Reporting—online
and offline—on iOS, Windows,
Android mobile devices
• Updated Report Viewer
NEW*
a free developer component
Bring your data to life with reporting anywhere
DATA INSIGHTS // BUSINESS INTELLIGENCE

• Modern connectors
NEW*
for big data sources, additional
databases, Azure stores, and
diverse modern data sources
• Fast time to insights with
rich data transformations
and mashups
NEW*
• In-memory performance
Analyze diverse data with powerful modelling
Get customer
social data on
favorite cruises
Combine latest
ship occupancy
rates with
historic results
Compile KPIs Compare
responses to
two cruise
itineraries
Itinerary B is
more successful
– launch route
Create tabular models from modern data sources
& perform additional transformations
SSASModern data
sources
Visualize
Power BI
reports
Tableau
Facebook
Excel
Data analysisTransform
Sentiment
Churn
Revenue
MySQL
Azure Blob
MailChimp
Files
RedShift
SSRS

Microsoft Azure
POWERING YOUR DATA ESTATE IN THE CLOUD

Power your data estate with Azure
Advanced Analytics & AI
Any language, any platform, anywhere
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Datavirtualization
DATA MANAGEMENT
Dataintegration
Big data processing
Data warehousing
Operational data
SECURITY
FLEXIBILITY .NET Azure 3rd
JAVA
Azure
HDInsight
Azure
SQL Data Warehouse
Azure
Data Lake
Azure
Document DB
Azure
SQL Database
Power BI and
Power BI Embedded
Azure
Machine Learning
Azure
Stream Analytics
Azure
Cognitive Services
More certifications than any other cloud provider
Azure
Analysis Services

Power your data estate with Azure
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Datavirtualization
DATA MANAGEMENT
Dataintegration
Big data processing
Data warehousing
Operational data
SECURITY
JAVA
Azure
HDInsight
Azure
SQL Data Warehouse
Azure
Data Lake
Azure
Document DB
Azure
SQL Database
Power BI and
Power BI Embedded
Azure
Machine Learning
Azure
Stream Analytics
Azure
Cognitive Services
More certifications than any other cloud provider
Azure
Analysis Services
Powered by
Azure Data Services

z
Engage market-leading solutions for all workloads
Advanced analytics, business intelligence, OLTP, data warehousing
Work in your choice of language,
employ any data, and easily
incorporate open-source tools
Engage customers with dynamic
interactions using artificial
intelligence capabilities
Rely on the leading compliance
coverage and more certifications than
any other cloud provider
Azure Data Services

Infinite scale with Azure SQL Database
Increased
productivity
Faster time
to market
Reduced risksLower TCO
47% staff hours
reclaimed for other tasks
“Now, those people can do
development and create more
revenue opportunities for us.”
75% faster app
deployment cycles
“We can get things out faster
with Azure SQL Database”
53% less expensive
than on-prem/hosted
“To be able to do what we’re
doing in Azure, we’d need an
investment of millions.”
71% fewer cases of
unplanned downtime
“The last time we had downtime,
a half a day probably lost us $100k”
Other
Azure SQL
Database
DB management hours

Fully managed Azure SQL Data Warehouse
DATA MANAGEMENT // DATA WAREHOUSING
Market leading price/
performance
Elastic scale & performance End-to-end platform built
for the cloud
• Scales to petabytes of data with
MPP processing
• Resize compute nodes <1 minute
• Faster time to insight than other
SMP offerings
• Designed for on-demand workload
• Integrated with Azure platform and other
Microsoft services
• Enables hybrid solutions
• Built on SQL Server experience & technology
• Simple compute & storage billing
• Pay for what you need
• High performance without rewriting apps
• Low cost for latent data
• Infrastructure, management and
support provided

• Get the most of your data with
Azure Data Lake storage and
Azure HDInsight analytics
service together
• Store big data of any size and
type on Azure Data Lake
• Analyze big data with
familiar open-source tools
with Hadoop on HDInsight
• Rest assured with leading SLA
Power intelligent action with Azure HDInsight and Azure Data Lake
DATA MANAGEMENT // BIG DATA
Data Lake Analytics
On-demand analytics
job service
Data Lake Store
No limits data lake
HDInsight
Managed clusters
HDFS
YARN YARN

• 5,000,000+ subscribers from
200,000+ organizations
• Live dashboards provide a
360º view of your business
• Track your data in real-time
with support for streaming data
• Drill through to underlying
reports to explore in more detail
• Pin new visualizations and
KPIs
NEW*
to monitor performance
Experience your data with Power BI
Any data, any way, anywhere
Stream
Analytics
Machine
Learning
Statistical
analysis
Intelligent
apps
INTELLIGENCEMICROSOFT CLOUD
NON-MICROSOFT CLOUD
ON-PREMISE DATA

Microsoft
Data PlatformCONSISTENT DATA PLATFORM FOR
POWERFUL HYBRID SCENARIOS

Microsoft
Data PlatformCONSISTENT DATA PLATFORM FOR
POWERFUL HYBRID SCENARIOS
Easy migration to cloud
Always On Availability Groups in Azure
Scale out BI
Hybrid analytics
Backup and DR

• Azure SQL Database preview
with instance-level control
NEW*
for greater security and flexibility
• Database migration service
NEW*
helps move your data from legacy
databases to SQL Server in an
Azure VM or Azure SQL Database
• Sign up for private preview
Easy cloud migration
FLEXIBILITY
01010010
10100101
11101001
Database migration service preview

Demo
Deploy SQL Server on Linux Docker
Container to Kubernetes in Azure Container
Service

• Develop once and
deploy anywhere
• Common tools for
development and management
• Common T-SQL surface area
• Simple cloud migration
• Single vendor for support
Consistent data platform across on-premises and cloud
FLEXIBILITY
On-premises
IaaS
PaaS

SQL Server 2017 Azure
POWERING YOUR ENTIRE DATA ESTATE

Microsoft data platform

Power your data estate anywhere
Least vulnerable data platform, with more certifications than any other cloud provider
Structured
Unstructured
OLTP
MOBILE
ERP
LOB
Graph
Social
IoT
Media
Datavirtualization
DATA MANAGEMENT
Dataintegration
Big data processing
Data warehousing
Operational data
SECURITY
JAVA
Power BI
Embedded
Azure
Machine Learning
Azure
Stream Analytics
Azure
Cognitive Services
SQL Server
Reporting Services
and Mobile BI
SQL Server Analysis
Services and R built-in
Azure
HDInsight
Azure SQL
Data Warehouse
Azure
Data Lake
Azure
Document DB
Azure
SQL Database
SQL Server
SQL Server
Data Warehouse
Apache
Hadoop
ON-PREM CLOUD

SQL Server 2017 Overview and Partner Opportunities

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