mysql_pn_heatwave.pdf

Modernize Applications with MySQL HeatWave

MySQL: An extremely popular database
Copyright © 2023, Oracle and/or its affiliates

MySQL is the #1 open source database
3

MySQL is the most popular database for developers
Stackoverflow survey Jetbrains survey (SQL is primary)
Which databases have you used in the last
12 months?
Most popular databases
27%
28%
32%
44%
47%
MS SQL Server
MongoDB
SQLite
PostgreSQL
MySQL
30%
32%
36%
48%
64%
SQLite
MS SQL Server
Redis
PostgreSQL
MySQL

Innovative organizations across many industries run MySQL
Social E-Commerce Tech Finance Manufacturing

MySQL powers Open Source applications
Custom Apps Development Content management and
eCommerce
Learning platforms

Common MySQL use cases
Social applications
E-Commerce
Content management
Users profile management
Digital payments
Fraud detection
IoT monitoring systems
Digital marketing Online gaming
Retail POS systems
Employee portals
Authentication systems
Logistics applications

Challenges for developers and DBAs…
…And how MySQL HeatWave uniquely addresses them

What we’ve heard from customers
Companies need to use separate
systems for transactions and analytics
We enable OLTP and OLAP in one MySQL Database
service—without ETL duplication
Companies need to use separate
tools/services for machine learning
We provide automated in-database ML with
explanation of models and results—without ETL
Companies spend too much time on
manual management tasks
We provide a fully managed database service with
machine learning-powered automation and built-in
advanced security features

Challenge #1: Organizations need to use
separate systems for transactions and analytics

MySQL is optimized for OLTP, not designed for analytic processing
OLTP Applications
OLAP Applications
OLTP DB
OLAP DB
ETL Service
Separate analytics database
Complex ETL
No real-time analytics
Security & compliance risks
Increased costs

One database is better than two
Analytics tools and
applications
Transactional
applications
InnoDB
storage
engine
HeatWave
analytics
cluster
One service for OTLP & OLAP
No ETL duplication
Unmatched performance, at a
fraction of the cost
Real-time analytics
Improved security
Applications work without changes
1>2 with MySQL HeatWave

MySQL HeatWave vs. Amazon RDS
4 TB
*Benchmark queries are derived from TPC-H benchmark, but results are not comparable to published TPC-H benchmark results since they do not comply with TPC-H
specification.
RDS-MySQL (db.r5.24xlarge) MySQL HeatWave (10 E3 nodes)
0
5,000
10,000
15,000
GeoMean of Query Run Time
$0
$20,000
$40,000
$60,000
Annual Cost
Time
(Seconds)
>5400x
faster
8 sec
11 hrs $54,393
$34,073
2/3
the cost

MySQL HeatWave vs. Amazon Aurora: 2800x better price performance
4 TB
Aurora (db.r5.24xlarge) MySQL HeatWave (10 E3 nodes)
*Benchmark queries are derived from TPC-H benchmark, but results are not comparable to published TPC-H benchmark results since they do not comply with TPC-H specification.
$0
$35,000
$70,000
Annual Cost
0
4,000
8,000
GeoMean of Query Run Time
Time
(Seconds)
6.3 sec
$67,843
$34,073
1/2
the cost
2.5 hours
1400x
faster

MySQL HeatWave vs. Snowflake: 35x better price performance
10 TB
*Benchmark queries are derived from the TPC-H benchmark, but results are not comparable to published TPC-H benchmark results since they do not comply with the TPC-H specification
Snowflake (Xlarge Cluster) MySQL HeatWave (25 E3 nodes)
2350
346
0
500
1,000
1,500
2,000
2,500
6.8x
faster
$420,480
$80,536
$0
$100,000
$200,000
$300,000
$400,000
$500,000
1/5
the cost
Time
(Seconds)

MySQL HeatWave vs. Amazon Redshift AQUA: 13x better price performance
10 TB
Redshift (8 nodes of RA3.4xlarge) MySQL HeatWave (25 E3 nodes)
2380
346.5
0
500
1,000
1,500
2,000
2,500
6.8x
faster
$150,784
$80,536
$0
$50,000
$100,000
$150,000
$200,000
~ 1/2
the cost
Time
(Seconds)
*Benchmark queries are derived from the TPC-H benchmark, but results are not comparable to published TPC-H benchmark results since they do not comply with the TPC-H specification

Challenge #2: Organizations need to use
separate tools/services for machine learning

Need to ETL data to a separate ML solution for training and inference
And it gets worse when using other databases...
• Complex, time-consuming
• Increases costs and risks
• Need to learn new tools/languages

The pain of using AWS services
Amazon
Aurora
AWS
Glue
Amazon
Redshift
- with
Redshift
ML
Amazon
S3
Amazon
SageMaker
OLTP OLAP
ETL process Storage for ML ML
Redshift ML does NOT provide in-database ML;
exports data to SageMaker via Amazon S3
Amazon
S3

In-database machine learning with MySQL HeatWave
Accelerate ML initiatives, increase security, and reduce costs

HeatWave AutoML automates the ML lifecycle and all models can be
explained
Dataset
Data preprocessing
Algorithm selection
Adaptive sampling
Feature selection
Hyper-parameter tuning
Tuned model
Model explainer
Prediction explainer
Regulatory compliance
Fairness
Repeatability
Causality
Trust

ü Produces more accurate results
ü Trains models 25X faster on average
ü 1% of the cost
ü Scales as more modes are added
HeatWave AutoML vs Redshift ML: Benchmarks
See Benchmark details: https://www.oracle.com/mysql/heatwave/performance/

Machine learning in action with MySQL HeatWave
OLTP
Applications
Social
ECommerce
FinTech
SaaS
Analytics
Tools
Real-time ML
recommendations
Real-time
analytics on
trends

Zero downtime for OLTP, OLAP, and ML workloads
Increase or decrease the size of your HeatWave cluster by any number of nodes
With Redshift Elastic resize:
• Data unavailable 4 to 8 min
• Several limitations (node type, count...)
• Data skew between nodes can severly
degrade query performance
Redshift users (RA3 – current generation)
are forced to select ”T-shirt size”
instances: 4,12,48

Challenge #3: Organizations spend too much
time on manual management tasks

• On-premises:
• Database management: provisioning, configuration, backup, HA, patching, security & more
• Operating system management: installation, patching, upgrades...
• Infrastructure management: purchase and maintenance of servers, storage
• Data center management: space, power, cooling, disaster recovery & more
• In the cloud with a managed database service:
• Provisioning: right-sizing a database
• Data loading: optimizing load time, memory usage, encoding, data placement
• Query execution: performance tuning, prioritization of queries
• Failure handling: actions to handle an error recovery
Manual management tasks consume resources

100% developed, managed, and supported by Oracle
MySQL HeatWave: fully managed database service
Automation MySQL HeatWave
Database
High Availability
Read Replicas
Backup
Query Acceleration
AutoPilot
AutoML
Security Patch & Upgrade
Provision & Configure
OS
OS Security Patch & Upgrade
OS Installation
Server Hardware Provisioning & Maintenance
Storage Storage Provisioning & Maintenance
Data Center
Rack & Space
Power, HVAC, Networking

Machine learning-powered automation for MySQL HeatWave
High query performance at scale, higher OLTP throughput, and the best price performance
NEW

Built-in, server-side features to implement additional security measures
• Asymmetric encryption with key generation and digital signatures: to increase the protection of
confidential data using both public and private keys and implement digital signatures to confirm the
identity of people signing documents.
• Data masking and deidentification: to help protect private data against external attacks and
malicious employees.
• Database firewall: protecting against database-specific attacks, such as SQL injections.
More secure than Amazon Aurora, Redshift, and Snowflake
Advanced security

Ready for the distributed cloud:
Available in public clouds and in your data center

Available in public clouds
Optimized to deliver the best price performance in each cloud

• MySQL HeatWave runs natively on AWS, optimized for AWS infrastructure
• Data doesn’t leave AWS – saves egress cost, and avoids compliance approvals
• Lowest latency access to MySQL HeatWave
• Tight integration with the AWS ecosystem – S3, CloudWatch, PrivateLink
• Easier migration from other databases (e.g., Amazon Aurora, Redshift, Snowflake)
MySQL HeatWave on AWS

MySQL HeatWave offers up to 10x better throughput than Aurora for OLTP
Auto thread pooling
TPC-C_100W (10G, Data fits in Buffer Pool)
0
1000
2000
3000
4000
5000
6000
7000
1 4 16 64 128 256 512 1024 2048 4096
Throughput
(Transactions/s)
Concurrency
MySQL HeatWave
Amazon Aurora
*Benchmark queries are derived from the TPC-C benchmarks, but results are not comparable to published TPC-C benchmark results since these do not comply with the TPC-C specifications.

Price performance comparison
Only compute costs are considered here
Pricing for Redshift is based on 1-year reserved instance, paid upfront. Snowflake price is based on standard edition
Price for Google BigQuery is based on monthly flat rate commitment. Azure Synapse is based on 1-year reserved pricing
*Benchmark queries are derived from the TPC-H benchmarks, but results are not comparable to published TPC-H benchmark results since these do not comply with the TPC-H specifications.
7x better than Redshift, 10x better than Snowflake, 12x better than Big Query, 4x better than Synapse

MySQL HeatWave Console
Monitoring
Interactive Query UI & Data Management
HeatWave ML
MySQL Autopilot

Democratizing machine learning
• Visual interface
• Enables business analysts to build, train,
run, and explain ML models. No SQL
and no coding required
• Ability to explore “What-if” scenarios
• All processing is done inside the
database
• No additional cost to users
MySQL HeatWave AutoML console
NEW

Roadmap of capabilities on OCI and AWS
As of March 2023 - https://www.oracle.com/mysql/#roadmap
Key capabilities Available on OCI Available on AWS
Fully managed service
OLTP and OLAP in MySQL
Query acceleration for analytics and mixed workloads
Machine learning-powered automation (MySQL Autopilot for HeatWave and OLTP)*
Advanced security*
In-database machine learning (HeatWave AutoML)
Scale-out data management
Interactive query and data management console Coming soon
Performance and workload monitoring from the console Coming soon
Interactive MySQL HeatWave AutoML console Coming soon
Adding HeatWave to any MySQL shape Coming soon
* Auto thread pooling and auto shape prediction in MySQL Autopilot as well as the MySQL HeatWave database firewall will be available soon on OCI.

MySQL HeatWave on Azure
Connecting to MySQL HeatWave on OCI from Azure VNET
• Familiar Azure-native user
experience
• Automated identity, networking,
and monitoring integration
• Private interconnect and
networking with < 2 ms latency
• Use Microsoft Azure services
with MySQL HeatWave
• Collaborative support
https://www.oracle.com/cloud/azure/oracle-database-for-azure

Enabling hybrid deployments
OLTP on-premises, OLAP in the cloud
OCI or AWS

Oracle Dedicated Region Cloud@Customer
Available in your data center
Self-contained cloud region
MySQL HeatWave and all Oracle public
cloud services in your data center
Public cloud economics and security
Meet data residency and latency
requirements

MySQL HeatWave Lakehouse (Beta)

Managing the data deluge is challenging
• 1.7 MB of data generated/person/sec in 2020. We’ll double that amount by 2025 (TechJury)
• 180 ZB of data expected in 2025 (IDC)
• Over 80% of the data we generate is in files (CIO)
• Often stored in data lakes on object storage
• 99.5% of collected data remains unused (grow.com)
Significant growth of data stored outside databases
Object Store
Devices
Sensors
Social Voice
Events

Process and query 100’s of TB of data in the object store—in a variety of file formats
MySQL HeatWave Lakehouse (Beta)
• Query data across MySQL, the object
store, or both—using standard
MySQL commands
• Up to 400 TB of data—the HeatWave
cluster scales to 512 nodes
• Querying the database is as fast as
querying the object store

17x faster than Snowflake, 6x faster than Redshift
Query performance of MySQL HeatWave Lakehouse
Annual provisioned cost for HeatWave $1,589,036; for Redshift $2,261,760; for Snowflake $2,242,560
Pricing for Redshift is based on 1-year reserved instance, paid upfront. Snowflake is based on standard edition

8x faster than Redshift, 2.7x faster than Snowflake
Load performance of MySQL HeatWave Lakehouse
Annual provisioned cost for HeatWave $1,589,036; for Redshift $2,261,760; for Snowflake $2,242,560
Pricing for Redshift is based on 1-year reserved instance, paid upfront. Snowflake is based on standard edition

MySQL Autopilot for MySQL HeatWave Lakehouse
Auto Provisioning
• Adaptively sample raw files
and collect statistics
• Estimate memory footprint
of the data to be loaded
Auto Schema Inference
• Sample raw files to infer
column data types
• Generate DDLs to create tables
Adaptive Sampling
• Adaptively samples a fraction of
files to collect stats
• Use collected stats for various
Autopilot features
Auto Load
• Predict load time
• Load script generation
Adaptive Data Flow
• System adapts to the
performance of object store
• Improves system performance
and reliability
Auto Query Plan Improvement
• Continuously collect statistics
while running queries
• Enhance future execution plans
Machine learning-powered automation

Customer successes

Tetris.co simplifies real-time
analytics
Business Challenge:
Tetris.co offers analytical software that unifies massive amounts of data from
several sources to help Brazilian clients understand how digital marketing
investments perform. It needed a data platform that is easy to use, low cost,
and scalable.
Products Used:
MySQL HeatWave
“MySQL HeatWave dramatically reduced our AWS Aurora
and Redshift cost by more than 50%. We are no longer moving
data around so now we have blazing fast, real-time insights
with no effort. More importantly, scalability has made our
expansion plan possible, allowing us to onboard more data
and new clients without impact to costs. It’s a dream come
true.”
Pablo Lemos
Cofounder and CTO, Tetris.co
Results:
Migrated to MySQL HeatWave from AWS Aurora and Redshift and GCP
BigQuery in one month
Accelerated complex queries from minutes to milliseconds
Reduced costs by more than 50% and eliminated ETL processes
Onboard new clients of any size at no cost impact
Read story

“We found MySQL HeatWave improved performance by
90X which solved all our challenges and concerns we had
in moving data to realize real-time analysis. It was a big
surprise for us. The extreme performance improvements
help us to continually improve the gaming experience for
joyful entertainment to customers around the world.”
Masayuki Kawamoto
CTO, Genius Sonority
Business Challenge:
Genius Sonority is Japanese video game designer, developer, and
operator for consoles and smart devices. To analyze end user gaming
engagement, IT staff had to transfer data from MySQL Database Service
to a separate analytics platform. Moving data from one data store to
another causes a delay in analyzing data and requires additional
development using several different tools that adds more time and cost.
Results:
90X faster performance of complex queries with HeatWave query
accelerator from 2-3 hours to 2-3 minutes
Enables developers to run both OLTP and OLAP workloads eliminating
separate ETL and analytical tools
Real-time analytics provides insights to continue improving gaming
experience
Genius Sonority speeds game
insights
Products Used:
MySQL HeatWave
Read story

Johnny Bytes boosts data and analytics
“MySQL HeatWave on AWS fits perfectly into our
data platform with 60X to 90X faster complex
queries compared to AWS RDS and Aurora. It
generates real-time analytics we need for targeted,
multichannel campaigns. We now have greater
scalability to onboard more data and new clients of
any size without increasing IT admin.”
Thomas Henz, Chief Executive Officer, Johnny Bytes
Challenge:
Germany digital agency had built analytics apps AWS RDS and Aurora
but not not able to make true real-time targeting decisions. In order to
support its customers in ecommerce, telecom, and banking industries,
the company needed a fast, consolidated database for both
transactional processing and analytics and work with their existing
technologies.
Products Used:
Oracle MySQL HeatWave
Results:
Moved from AWS Aurora to Oracle MySQL HeatWave on AWS
Realized massive 60X to 90X faster complex queries time
Delivered ads in real time enhanced doubled click-through rates and
customer acquisition
Onboarded more data and new clients without relying on IT
Read story

Bionime modernizes data and analytics
“MySQL HeatWave on AWS has 50X faster complex
queries compared to AWS RDS that provide us real-
time insights to accelerate application development
to help us improve patients’ lives.”
Kyle Yang, Assistant Manager, Bionime
Challenge:
A leading medical device manufacturer in Taiwan built its analytics service
on AWS RDS but was not performing for the large amount of data needed
to provide accurate and up-to-date glucose monitoring for patients. The
company needed a faster data platform to support its existing
technologies.
Products Used:
Oracle MySQL HeatWave
Results:
Moved from AWS RDS to Oracle MySQL HeatWave on AWS
Realized 50X better resolution of complex queries compare to AWS RDS
Greater scalability to add more data with less IT administration
Generated real-time analytics to accelerate application development
Read story

What do analysts say?

What are industry analysts saying about MySQL HeatWave?
“May very well be the single greatest innovation in open source cloud databases in
the past 20 years."
"The MySQL HeatWave technology is by far the best in the market now...Wikibon
strongly recommends that enterprise IT departments set a three-year plan to
eliminate separate OLAP databases and ETL from MySQL transactional databases."
”Oracle introduced MySQL HeatWave and they did send shockwaves because they
named and shamed basically every database company out there...You can
spend $80K on HeatWave and that would cost you $420K to run on Snowflake.”
More quotes and analyst reports: https://www.oracle.com/mysql/heatwave/analysts/
"MySQL HeatWave represents the fiscally responsible approach to cloud databases
while AWS Redshift and Snowflake represent the fiscally reckless approach.”

What are industry analysts saying about HeatWave AutoML?
“HeatWave ML promises to be a game-changer for application developers and a
broad range of data analysts and scientists.”
"What if a design could bring the ML to the data, eliminating the need for ETL processes
and enabling faster and close to real-time ML usage? That’s what the MySQL
HeatWave team has achieved…HeatWave does machine learning the right way."
"With the addition of HeatWave ML demonstrating up to 25X the speed of Redshift ML
at 1% of the price, the MySQL HeatWave cloud service is not just a game changer, but
represents a whole new engineering trajectory for cloud databases going forward."
More quotes and analyst reports: https://www.oracle.com/mysql/heatwave/analysts/
”The in-database HeatWave ML makes Redshift ML look like yesterday’s tech in
terms of engineering, performance and cost.”

What are industry analysts saying about MySQL HeatWave on AWS?
“For any developers working with MySQL on AWS, Oracle has just dropped a big
productivity boost on your doorstep without the big price tag.”
"For cost-conscious IT teams and developers, MySQL HeatWave on AWS represents a
whole new TCO calculation with zero cost for what are add-on services on AWS and no
data egress fees… If you follow the money, the choice is easy."
More quotes and analyst reports: https://www.oracle.com/mysql/heatwave/analysts/#heatwave-on-aws
”The MySQL HeatWave engineering team continues to execute at an accelerated pace,
and in the midst of their product super cycle, are busy making other cloud database
services look rather complacent by comparison. While we expected it on OCI, their home
turf, the amount of new capabilities on the AWS platform takes it to a whole new level.”
“HeatWave with MySQL Autopilot on AWS is a gift from the database gods. I believe
MySQL HeatWave may be the most valuable investment of resources Oracle has
made in a long time.”

What are industry analysts saying about MySQL HeatWave Lakehouse?
“MySQL HeatWave Lakehouse sets the competition on fire by blazing the trail to the
previously uncharted territory of 400TB cloud database benchmarks at
breakneck speeds.”
“The performance results put Amazon Redshift and Snowflake to shame.... While
Aurora, Amazon’s own modified MySQL cloud database service is limited to 128TB
database sizes, MySQL HeatWave Lakehouse supports cloud databases in excess of
400TB, demonstrating continued innovation at a compelling price point for
customers worldwide.”
“MySQL HeatWave has become a very competitive cloud database, in little time,
offering CxOs a powerful universal MySQL database for their next generation
applications.”
“These innovations enable MySQL HeatWave Lakehouse to greatly accelerate load times
and optimize query performance and price performance in a 400TB lakehouse that is
quite uncommon compared with customary analytical database architectures."

Why MySQL HeatWave for new and existing applications?
Unmatched price
performance
Integrated in-memory query
accelerator
§ 6.5X faster than Redshift at half
the cost
§ 7X faster than Snowflake at
20% the cost
§ 1,400X faster than Aurora at
half the cost
MySQL Autopilot: automation to
achieve high query performance at
scale, higher OLTP throughput,
and get the best price performance
Ready for the
distributed cloud
Deploy on OCI, AWS, Azure
Replicate data from OLTP on-
premises apps to MySQL
HeatWave on OCI or AWS
Deploy in your data center with
Oracle Dedicated Region
Simplicity of transactions,
real-time analytics, and ML
in one managed service
Eliminate the cost and
complexity of separate
analytics database, ML, and
ETL services
Avoid the latency and security
risks of data movement
between data stores
MySQL and Amazon Aurora-
based applications work
without changes

Get $300 in credits and try free for 30 days
Get started with MySQL
HeatWave
oracle.com/mysql/free
Learn more about MySQL HeatWave
oracle.com/mysql
Request a guided workshop
Ask your account manager

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