An overview of Microsoft's SQL Server running on Linux (CTP 1.3 - March 2017)

1. SQL Server on Linux
Sorin Peste, Microsoft

2. SQL Server on Linux
Why ?
What ?
When ?
How ?

3. 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

4. Microsoft is
delivering on
choice
HDInsight on Linux
R Server on Linux
Linux in Azure
SQL Server drivers
and connectivity
Visual Studio Code
extension for SQL Server
Python,
Ruby, …

5. Why ?

6. The world is
demanding
SQL Server
on Linux
20K+applications for
private preview
Enterprise DB market
runs on Linux
36%

7. Bringing SQL Server to Linux
is another way we are making
our products and new
innovations more accessible to
a broader set of users and
meeting them where they are.
Scott Guthrie
Microsoft

8. What ?

9. 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
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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 2/2016.
Most consistent experience from on-premises to cloud
Microsoft Tableau Oracle
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Self-service BI per user
built-inbuilt-in built-in built-in built-in
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43
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1 2 3 4 5 6
SQL Server Oracle MySQL2 SAP HANA TPC-H
Oracle
is #5#2
SQL Server
#1
SQL Server
#3
SQL Server
The power of SQL Server
June 2016
SQL Server 2016

10. Only data solution to
encrypt your data at
rest and in motion
Connect your
relational data to
big data with PolyBase
Real-time operational
analytics without
impacting performance
Up to 30x faster
transactions, 100x faster
queries with InMemory
Unparalleled choice
for developer tools
and languages
1 T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
For all your applications
Innovations across all editions
Available now
SQL Server 2016 SP1

11. For all your applications
Innovations across all editions
Available now
SQL Server 2016 SP1

12. • Many Enterprise features now available across editions
• Database Cloning
• CREATE OR ALTER
• Storage Class Memory
• Lots of performance and troubleshooting improvements
Features
SQL Server 2016 SP1 – new features

13. On the platform of your choice
SQL Server v.Next
Targeting CY2017
SQL Server v.Next GA*
SQL Server v.Next Public Preview available now on Linux, Windows, and Docker.

14. Database engine enhancements
SQL Server on the platform of your choice
Linux Linux/Windows container
Windows
Windows Server
• Linux distributions including Red
Hat Enterprise Linux (RHEL), Ubuntu,
and SUSE Linux Enterprise (SLES)
• Linux containers for Docker
engine on MacOS, Windows and
Linux; Windows and Hyper-V
container for SQL Server on
Windows
• Package-based installation, yum
install, apt-get, zypper and more
options

15. Deploy your SQL Server license
on Windows or Linux
Get access to the latest release
with Software Assurance
Same license—new choices
LICENSE

16. SQL Server v.Next

17. Get started today!

18. Developing new applications on Linux
Choose your path
Deploy your
application
Choose your
development environment
Upgrade to
SQL Server v.Next
Use simple backup and restore
from Windows to Linux
Go-live
Deploy today and easily
migrate to v.Next
Test your app today and go live close
to GA with the Early Adoption Program
OR
macOS

19. Migrate to SQL Server v.Next
Get free SQL Server licenses today when you migrate!*
Use migration tools
and partners
Identify apps
for migration
Run
SQL Server v.Next
Deploy
to production
Oracle
Sybase
DB2
AND OR
Use simple backup and
restore from Windows
to Linux
Go-live
Deploy today and easily
migrate to v.Next
Test your app today and
go live close to GA with
the Early Adoption Program
Software Assurance subscription required. Some restrictions may apply. Limited time offer—free training and subsidized deployment services available until December 31, 2016.

20. When ?

21. SQL Server v.Next
Timeline
3/2016
Announce and
private preview
11/2016
Public Preview
@ Connect()
Targeting
CY2017
GA
Monthly previews

22. • Support for RHEL, Ubuntu, Docker
• Package based installs, Docker image
• Failover Clustering through Pacemaker
• Backup/Restore
• SSMS on Windows connected to Linux
• Command line tools: sqlcmd, bcp, sqlpackage
• Log Shipping
• Transparent Data Encryption
• SCOM Management Pack
• DMVs
• AlwaysOn Availability Groups
• Full text search
Operations Features Programming 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!

23. • Mirroring
• Replication
• Windows Authentication
• SQL Server Agent (coming CTP 1.4)
• SQL Server Browser
• SQL Server R Services
• SSAS, SSRS, SSIS, DQS, MDS
Operations Features Programming Features
• Stretch DB
• Polybase
• XP_CMDSHELL
What’s not available yet?

24. • SQL Server on Linux
• Cluster-less Availability Groups
• Temporal Tables Retention Policy
• sys.dm_db_stats_histogram
• Online non-clustered columnstore
index build and rebuild
• Linux process DMVs
Operations Features Programming Features
• In-memory: computed columns, JSON functions,
CROSS APPLY
• CONCAT_WS, TRANSLATE, TRIM
• BULK INSERT from Azure BLOB storage
• Clustered Columnstore Indexes now support LOB
columns (nvarchar(max), varchar(max),
varbinary(max))
What’s coming in vNext?

25. Download the bits
www.sqlserveronlinux.com
Join the
SQL Early Adoption Program
twright@microsoft.com

26. How ?

27. How
https://blogs.technet.microsoft.com/data
platforminsider/2016/12/16/sql-server-
on-linux-how-introduction/

28. 2005: SQLOS

29. 2011: Library OS
(project Drawbridge)

30. 2016: SQLOS + Library OS = SQLPAL

31. Platform Abstraction Layer

32. Thank
You
Sorin Peste
Microsoft