Do you have a high-value, high throughput application running on AWS? Are you moving part or all of your infrastructure to AWS? Do you have a high-transaction workload that is only expected to grow as your company grows? Choosing the right database for your move to AWS can make you a hero or a goat. Be a hero! Databases are the mission-critical lifeline of most businesses. For years MySQL has been the easy choice -- but the popularity of the cloud and new products like Aurora, RDS MySQL and ClustrixDB have given customers choices and options that can help them work smarter and more efficiently. Enterprise Strategy Group (ESG) presents their findings from a recent performance benchmark test configured for high-transaction, low-latency workloads running on AWS. In this webinar, you will learn: How high-transaction, high-value database workloads perform when run on three popular databases solutions running on AWS. How key metrics like transactions per second (tps) and database response time (latency) can affect performance and customer satisfaction. How the ability to scale both database reads and writes is the key to unlocking performance on AWS

1. Enterprise Strategy Group | Getting to the bigger truth.™
© 2016 by The Enterprise Strategy Group, Inc.
Mike Leone, Senior ESG Lab Analyst
ESG Lab Webinar
Validating ClustrixDB Performance in AWS

2. About Enterprise Strategy Group
• ESG is an IT analyst, research, and strategy company.
• Our firm was founded in 1999 with headquarters in Milford, MA / an analyst and client relations presence in
Silicon Valley, CA.
• ESG conducts research with and for IT vendors, IT professionals, business professionals, and channel partners.
• We maintain ongoing analyst coverage in cloud computing, networking, storage, data protection, cybersecurity,
data management and analytics, application development and deployment, enterprise mobility, and channels.
• Capabilities include: Analyst services, market research, technical and economic validation, consulting, and
custom content.
• Mike Leone is a Senior ESG Lab Analyst with coverage across the entire IT industry.
• Provide in-depth testing and analysis of IT technology and products, using methods that simulate or recreate real-world environments.
• Extensive background in performance modeling, testing, and analysis.

3. © 2016 by The Enterprise Strategy Group, Inc.
Goals of this Webinar
Cloud Usage Trends and Challenges
What are the benefits of the cloud?
How many people use it?
What challenges exist when moving a traditional RDBMS to the cloud?
Product Overview: ClustrixDB
What is it? How is it different? How does it work?
ESG Lab Performance Validation
Goals of the validation – comparing ClustrixDB performance
Configuration, methodology, workload, etc.
Performance analysis
– Single instance database comparison
– ClustrixDB scale-out performance
ClustrixDB Performance Testing
Additional performance test comparisons and results

4. © 2016 by The Enterprise Strategy Group, Inc.
Benefits of the Cloud
Flexibility
Reliability
Cost-savings
Accessibility Manageability

5. © 2016 by The Enterprise Strategy Group, Inc.
Public Cloud Usage Trends
33%
38%
65%
10%
13%
24%
22%
17%
16%
15%
9%
15%
11%
7%
3%
1%
1%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Platform-as-a-service (PaaS)
Infrastructure-as-a-service (IaaS)
Software-as-a-service (SaaS)
Please indicate your organization’s usage of or plans for each of the following cloud computing services. (Percent
of respondents, N=633)
Currently use
Do not currently use, but we have done so within the past two years
Do not currently use but we plan to
No use or plans at this time but we are interested
No use, plans, or interest at this time
Don’t know

6. © 2016 by The Enterprise Strategy Group, Inc.
4%
34%
38%
39%
41%
43%
43%
None of the above
Hadoop
Business intelligence
Analytics
Data warehouses
Spark
Databases
For which of the following are you considering public cloud services? (Percent of respondents, N=475,
multiple responses accepted)
Big Data in the Cloud

7. © 2016 by The Enterprise Strategy Group, Inc.
Traditional SQL Database Challenges in the Cloud
ACID compliance is a requirement
• Mission critical database applications serve as the lifeline of the business
• Delivering high levels of performance is essential
Database Performance is a major challenge – how do you address it?
1. Increase horsepower
– Database migration
– Adds risk and potential for delays
– Direct impact on the business
2. Workarounds
– Just as expensive as #1
– More people, resources, and complexity
3. Read slaves – Band-aid approach
– Only work for so long
– Workload dependent
None of these options are futureproof

8. ClustrixDB Overview
Dave Anselmi
Director of Product Management, Clustrix

9. ClustrixDB: Scale-Out, Fault-tolerant, MySQL-Compatible
ClustrixDB Overview
9
ClustrixDB
ACID Complaint
Transactions & Joins
Optimized for OLTP
Built-In Fault Tolerance
Flex-Up and Flex-Down
Minimal DB Admin
Also runs great in
the Data Center
Built to run
in the Cloud

10. ClustrixDB Technical Overview
Fully Distributed & Consistent Cluster
• Fully Consistent, and ACID-compliant database
– Supports transactions
– Support joins
– Optimized for OLTP
– But also supports reporting SQL
• All nodes are equal (no “special” node)
• All servers are read/write
• All servers accept client connections
• Tables & Indexes distributed across all nodes
– Fully automatic distribution, re-balancing
& re-protection
ClustrixDB Overview10
PrivateNetwork
ClustrixDB on commodity/cloud servers
HW or SW Load
Balancer
SQL-based
Applications
High Concurrency
Custom:
PHP, Java, Ruby, etc
Packaged:
Magento, etc

11. BillionsofRows
Database
Tables
S1 S2
S2
S3
S3
S4
S4
S5
S5
Intelligent Data Distribution
• Tables auto-split into slices
• Every slice has a replica on another node
– Slices are auto distributed, auto-protected
ClustrixDB Overview11
S1
ClustrixDB

12. S1
S2
S3
S3
S4
S4
S5
Database Capacity
• Easy and simple Flex Up (and Flex Down)
– Single minimal interruption of service
• All servers handle writes + reads
• Data is automatically rebalanced
across the cluster
ClustrixDB Overview12
S1
ClustrixDB
S2
S5

13. S1
S2
S3
S3
S4
S4
S5
Built-in Fault Tolerance
• Server node goes down…
– Data is automatically rebalanced across
the remaining nodes
• Simply Add new Node
– System automatically re-protects
– Data is automatically redistributed
ClustrixDB Overview13
S1
ClustrixDB
S2
S5

14. ClustrixDB Rebalancer: Making the Complex, Simple
Q: How do you ensure data stays well distributed in a clustered environment?
A: You let the Rebalancer handle it!
The Rebalancer automatically:
• Initial Data: Distributes the data into even slices across nodes
• Data Growth: Splits large slices into smaller slices
• Flex-Up/Flex-Down: Moves slices to leverage new nodes and/or evacuate nodes
• Failed Nodes: Re-protects slices to ensure proper replicas exist
• Skewed Data: Re-distributes the data to even out across nodes
• Hotness Detection: Finds hot slices and balances then across nodes
…while the DB stays open for businessPatent 8,543,538
Patent 8,554,726

15. ESG Lab Evaluation

16. © 2016 by The Enterprise Strategy Group, Inc.
• Same database size configured with the same scripts
• Similar test bed configuration – server configuration differed due to the distributed ClustrixDB architecture
Goals of the ESG Lab Validation
Validate ClustrixDB as a leading cloud database in AWS
for high-value, high-transaction workloads
• Identified a common, real-world OLTP workload
• Compared ClustrixDB to two competing cloud database offerings (referred to as CloudDB1 and CloudDB2)
• Same infrastructure pushing the workload, same time period, same scripts
• Measured the same performance metrics

17. © 2016 by The Enterprise Strategy Group, Inc.
Performance Test Bed
CloudDB1 and CloudDB2
One r3.8xlarge AWS Instance
• 32 cores
• 244GB of RAM
• 2 x 320GB SSDs
Workload
Drivers
sysbench
LOAD
BALANCER
Four c3.2xlarge AWS
Instances
• 8 cores
• 15GB of RAM
• 2 x 80GB SSDs
One database instance with one table
consisting of 40,000,000 records (20GB)

18. © 2016 by The Enterprise Strategy Group, Inc.
Transactions/sec
• How busy is your database server?
• Measures the database activity by tracking the number of serviced requests
Performance Metrics and Scaling the Workload
Average Transaction Latency
• How is the end-user experience?
• Industry-defined threshold of 20ms
• Low, predictable latency tends be more valuable
Performance Curves
• Scale-up workload by doubling the concurrent thread count of each test
• Increase transactions/sec, but also increase latency

19. © 2016 by The Enterprise Strategy Group, Inc.
Comparing Single Instance OLTP Workload Performance
0
2,000
4,000
6,000
8,000
10,000
20 40 80 160
Transactions/sec
Number of concurrent threads
CloudDB1 CloudDB2 ClustrixDB (4 nodes)

20. © 2016 by The Enterprise Strategy Group, Inc.
Comparing Scale-out Performance
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
20 40 80 160 320 640
Transactions/sec
Number of concurrent threads
CloudDB1 CloudDB2 ClustrixDB (4 nodes) 8 nodes 12 nodes 16 nodes 20 nodes

21. © 2016 by The Enterprise Strategy Group, Inc.
Near-linear Performance Scalability with ClustrixDB
0
20
40
60
80
100
0
10,000
20,000
30,000
40,000
50,000
4 8 12 16 20
AverageTransactionLatency(ms)
Transactions/sec
Number of ClustrixDB Nodes

22. © 2016 by The Enterprise Strategy Group, Inc.
Clustrix – Making a Representative Benchmark
Peter Friedenbach
Performance Architect, Clustrix

23. Making a Representative Benchmark
PROPRIETARY AND CONFIDENTIAL23
Why did we choose the workload that we did?
• Other venders recently have published performance results with Sysbench.
• Things that we think matter:
– Read/Write Mix Matters: Real workloads are a mixture of reads and writes.
– Data Size Matters: OLTP databases, while not “big data”, still have record counts of 10
million or more.
– Latency Matters: OLTP workloads demand low latency.
• The ClustrixDB Sysbench Performance Benchmark
– Mixed workload: 90% read and 10% writes
– Size: 40m records / 20 GB file
– Latency: 20ms is the upper range of “acceptable” latency (>3X the initial latency).
• Methodology: Performance curves show a more complete story.
– Reveals the “capacity point of the machine”
• The “knee of the curve” where throughput gains succumb to growth in latency.

24. ClustrixDB Sysbench Benchmark
PROPRIETARY AND CONFIDENTIAL24
0
10
20
30
40
0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000 50,000
AverageLatency(ms)
Throughput (tps)
Sysbench OLTP 90:10 Mix
Clustrix 4 Nodes Clustrix 8 Nodes Clustrix 12 Nodes Clustrix 16 Nodes Clustrix 20 Nodes

25. ClustrixDB Key Differentiators
• MySQL Compatible, Scale-out ACID RDBMS
• Flex-Up and Flex-Down
– Flex Licensing allows paying for only the instances you need
– Add or remove multiple nodes at a time
• Massively Scaling Writes
– ClustrixDB is the only cloud RDBMS that can massively scale
writes in addition to reads
– E-commerce, AdTech, IoT are very write-intensive. Clustrix
has multiple satisfied customers in these sectors
• Built for Cloud (any cloud) and Datacenter
– One RDBMS wherever the application is deployed
PROPRIETARY AND CONFIDENTIAL25

26. Thank You
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© 2016 by The Enterprise Strategy Group, Inc.
Mike Leone, Senior ESG Lab Analyst
E-mail: mike.leone@esg-global.com
Office: 508-244-4814