The document outlines the roadmap for SQL Server, including enhancements to performance, security, availability, development tools, and big data capabilities. Key updates include improved intelligent query processing, confidential computing with secure enclaves, high availability options on Kubernetes, machine learning services, and tools in Azure Data Studio. The roadmap aims to make SQL Server the most secure, high performing, and intelligent data platform across on-premises, private cloud and public cloud environments.

1. The roadmap for SQL Server
MVP Juan Rafael

2. BIG Thanks to SQLSatLima sponsors

3. Special thanks

4. Insights in minutes
and rich reports
Choice of platform
and language
Most secure
over the last 8 years5
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2017)
The best of Power BI and
SQL Server Reporting Services
with Power BI Report Server
Industry-leading
performance
#1 OLTP performance1
#1 DW performance on
1TB2, 10TB3, and 30TB4
Intelligent Query
Processing
SQL Server 2019Industry-leading performance and security, with intelligence over all your data
Private cloud Public cloud
Most consistent data platformIn-memory across all workloads
1/10th the cost of Oracle
T-SQL
Java
C/C++
PHP
Node.js
C#/VB.NET
Python
Ruby
All TPC Claims as of 1/19/2018.
1 http://www.tpc.org/4081; 2 http://www.tpc.org/3331; 3 http://www.tpc.org/3326; 4 http://www.tpc.org/3321; 5 National Institute of Standards and Technology Comprehensive Vulnerability Database
Intelligence over
any data
AI and Machine Learning
over all data with the power
of SQL and Apache Spark

5. SQL Server 2019 enables
intelligence over all your
data
Build intelligent apps and
AI with all your data
Analyzing all data
Easily and securely manage
data big and small
Managing all data
Simplified management and analysis through a unified deployment, governance, and tooling
Unified access to all your data with
unparalleled performance
Integrating all data

6. All on a unified data services platform
Including Relational, noSQL, Hadoop
Using Apache Spark and SQL
With Azure Data Studio

7. SQL Server 2019 big data, analytics, and AI
Managed SQL Server, Spark,
and data lake
Store high volume data in a data lake and access
it easily using either SQL or Spark
Management services, admin portal, and
integrated security make it all easy to manage
SQL
Server
Data virtualization
Combine data from many sources without
moving or replicating it
Scale out compute and caching to boost
performance
T-SQL
Analytics Apps
Open
database
connectivity
NoSQL Relational
databases
HDFS
Complete AI platform
Easily feed integrated data from many sources to
your model training
Ingest and prep data and then train, store, and
operationalize your models all in one system
SQL Server External Tables
Compute pools and data pools
Spark
Scalable, shared storage (HDFS)
External
data sources
Admin portal and management services
Integrated AD-based security
SQL Server
ML Services
Spark &
Spark ML
HDFS
REST API containers
for models

8. SQL Server big data clusters
Compute pool
SQL Compute
Node
SQL Compute
Node
SQL Compute
Node
…
Compute pool
SQL Compute
Node
IoT data
Directly
read from
HDFS
Persistent storage
…
Storage pool
SQL
Serve
r
Spark
HDFS Data Node
SQL
Serve
r
Spark
HDFS Data Node
SQL
Serve
r
Spark
HDFS Data Node
Kubernetes
pod
Analytics
Custom
apps BI
SQL Server
master instance
Node Node Node Node Node Node Node
SQL
Data mart
SQL Data
Node
SQL Data
Node
Compute pool
SQL Compute
Node
Storage Storage

10. The heart of SQL Server is mission critical
performance, security, and availability
Security AvailabilityPerformance
High availability for business
critical workloads
Data protected at rest and
in motion
Breakthrough performance
and scalability

11. Mission critical
performance
The intelligent database
Intelligent Query Processing
Gain performance insights anytime
and anywhere with Lightweight
Query Profiling
Accelerating I/O
performance with
Persistent Memory
The Intelligent Query Processing feature family
Intelligent QP
Adaptive QP
Adaptive Joins
Batch Mode
Interleaved
Execution
Memory Grant
Feedback
Row ModeBatch Mode
Table Variable
Deferred Compilation
Approximate QP
Approximate
Count Distinct
Batch Mode for
Row Store

13. Mission critical
security
Confidential computing
Always Encrypted with secure
enclaves
Data Classification and auditing
built-in
Manage certificates easier with
SQL Configuration Manager
plaintext ciphertext
Enhanced
client driver
Enclave
plaintext
Always Encrypted with secure enclaves

14. Mission critical
availability
Keep SQL Server running
Always On availability group
enhancements
Resumable online index creation
Online Clustered Columnstore index
creation and rebuild
Availability groups on Kubernetes
Availability groups on Kubernetes
AG
Pod
Operator
Pod
Load balancer
Pod
SQL Server
primary
AG agent
Pod
Load
balancer
Pod
SQL Server
secondary
AG agent
Pod
SQL Server
secondary
AG agent
SQL Server
primary
SQL Server
secondary

15. The modern development platform
Speed app development and
admin with new enhancements
Develop on your choice of
language and tooling

16. Enhancing the
developer
experience
SQL Graph enhancements
UTF-8 support
Machine Learning Services
enhancements
SQL Server Java extension
SQL
Server
R

18. Enhancing the platform
of choice
Closing features gaps for SQL
Server on Linux
Replication
Distributed transactions
Machine Learning
Open LDAP Provider support
The Microsoft Container
Registry
SQL Server RedHat Container
Images
Always On Availability Groups
on Kubernetes

20. Tuning the SQL
Server engine
Columnstore stats in DBCC
CLONEDATABASE
Estimate compression for
Columnstore indexes
Troubleshoot page resource
waits with new built-in T-SQL
0100101010110
In-Memory
ColumnStore
In-Memory
OLTP
!

21. The Azure Data Studio tools experience
Azure Data Studio is a lightweight, open source,
cross-platform graphical management tool and
code editor
Enable a modern DevOps experience for database
developers and DBAs on their platform of choice​
Simplify development, configuration,
management, monitoring and troubleshooting for
SQL databases on-premises and in the cloud
NEW
Use SQL Server Management Studio 18.0 Preview
to access, configure, manage, and administer all
SQL Server components

22. Investments in the future
of SQL Server
SQL Server on Edge
Finish features for big data
clusters and data
virtualization
Making SQL Server more available, faster
Further enhance SQL Server security
Enhance the engine to align with hardware innovation
Continue to make the container experience great
Engine improvements based on customer feedback

23. Evaluation
Event Eval:
http://www.sqlsaturday.com/812/Eventeval.aspx
Session Eval:
http://www.sqlsaturday.com/812/sessions/sessionevaluation.aspx