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What are industry experts saying about MySQL HeatWave?

Constellation logo

"The resulting architecture is elegant, allowing the prioritization of queries to enable the Holy Grail of insight to action for enterprise decision-making."
—Holger Mueller, VP and Principal Analyst, Constellation Research

Read the report (PDF)

“The evolution of MySQL continues as Oracle accelerates developer velocity. Oracle previously provided a single unified platform for both OLTP and OLAP, eliminating the need for multiple databases and tools to ETL across databases. Now Oracle brings out new innovations which are set to likely disrupt the market, significantly lifting the expectations for what open source cloud databases should be. With machine learning-based automation in Autopilot and scaling in memory, nodes, and storage, Oracle sets developers free to develop next generation applications running on the much faster and cheaper MySQL HeatWave compared to any platform they may try.”
—Holger Mueller, VP and Principal Analyst, Constellation Research

Leading Cloud Analyst Holger Mueller of Constellation Research published his take on MySQL Autopilot and concluded that "Customers using MySQL or MySQL-compatible databases should evaluate MySQL Database Service with HeatWave now."

"MySQL HeatWave is priced less than all comparable cloud database services, so talk about value for your money—HeatWave is off the charts…the addition of MySQL Autopilot to MySQL HeatWave has made an already attractive offering even more attractive."

Read the report (PDF)

"Oracle continues to show the industry what’s possible in MySQL. After introducing MySQL HeatWave, a single unified platform for both OLTP and OLAP, and automating management processes with Autopilot, Oracle now adds machine learning to MySQL HeatWave. Once again, with this innovation, Oracle eliminates the need for multiple service offerings and tools for users to integrate machine learning into their applications—plus costly and time-consuming ETL. But that’s just the start, HeatWave ML fully automates model training, inference, and explanation without data or models leaving the database. The result is faster, and cheaper ML compared to other platforms. For developers, HeatWave ML is a time saver, accelerating their app development velocity, increasing model accuracy."
—Holger Mueller, VP and Principal Analyst, Constellation Research

"HeatWave does machine learning the right way. By bringing ML to the data with HeatWave ML in a cost-efficient, automated way, HeatWave accelerates ML adoption."

"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."

"...it moves ML execution and modeling closer to real-time, because the elimination of ETL processes enables ML to directly execute on the data stored in the OLTP area of HeatWave and enhances security, since the data does not leave the database. There are no data movers or connectors involved—as in this case, in-database literally means inside the MySQL HeatWave database service."

"HeatWave ML lowers TCO, reduces the need for manual work and ETL, and accelerates the ML model provision and execution that enterprises need."
—Holger Mueller, VP and Principal Analyst, Constellation Research

Read the report (PDF)

IDC logo

“Some cloud database providers continue to offer specialized databases for specific workloads, and assume, especially in the open source space, that developers like to manually tinker with parameters to optimize performance. Oracle is on a different track, looking to combine database functionality in a single system. It provides database convergence and automation in the open source cloud database service, MySQL HeatWave. Oracle introduced MySQL HeatWave late in 2020, bringing full native cloud support and unifying OLTP and OLAP in one database, which eliminated the need for ETL. In this newly announced version, Oracle has added machine learning-based automation, which takes away the guesswork and manual labor involved in provisioning, data loading, query execution, and failure handling. These automations are also a major factor in HeatWave’s performance and price/performance results as reported in the company’s publicly accessible and repeatable benchmarks, providing metrics which should compare favorably with those of other cloud database service providers.”
—Carl Olofson, Research Vice President, Data Management Software, IDC

IDC’s top database analyst, Carl Olofson, published his take on Oracle MySQL HeatWave news and concluded that "For MySQL database developers, this is a game changer...With HeatWave, Oracle is leveraging its decades of experience and database expertise to provide first class database capabilities to teams of open-source database application developers at a very affordable price, and elevating the MySQL community to a whole new level of database power and sophistication."

Read Carl’s blog

"It's no secret that developers are a major force in database growth today. Oracle wants to open up a second front in the battle for database market leadership. They are attracting an entirely different user base with this."

Read the article

A new analysis from IDC’s Carl Olofson states that "Combined with HeatWave and Autopilot, MySQL Database Service may very well be the single greatest innovation in open source cloud databases in the past 20 years."

"MySQL Database Service with back-to-back innovations in the form of HeatWave and now Autopilot brings a big boost to the MySQL user community, and wherever there's increased competition, customers will benefit…MySQL Database Service may drive the open source database industry to accelerate engineering efforts."

"MySQL HeatWave and AutoPilot represent a quantum leap for those enterprises, offering an RDBMS optimized with ML, topflight query performance, and superb transaction support."

Read the analysis (PDF)

"Oracle announced MySQL HeatWave with Autopilot last August, which may very well have been the single greatest innovation in open source cloud databases in the last 20 years to that point. Now Oracle has gone beyond its original unifying of OLTP and OLAP in HeatWave, with MySQL HeatWave ML. Oracle is bringing all of the machine learning processing and models inside the database, so that customers not only avoid managing ML databases apart from the core database, but also eliminate the hassles of ETL, gaining speed, accuracy, and cost-effectiveness in the bargain."
—Carl Olofson, Research Vice President, Data Management Software, IDC

In his recent analysis, Carl Olofson of IDC states: "HeatWave ML promises to be a game changer for application developers and a broad range of data analysts and scientists...For MySQL users this release represents a substantial leap in performance and functionality that enables more sophisticated data processing without technical complexity…HeatWave ML represents a significant step forward."

Read the analysis

Wikibon logo

“Oracle have shown AWS and Snowflake how to design and architect a True MySQL Cloud Database. Customers can expect MySQL Heatwave to perform about 7 times faster than Amazon Redshift or Snowflake at 2-5 times lower cost. The benefits against Amazon Aurora are even greater. Enterprises of every size can run a single MySQL database for both OLTP & OLAP and eliminate ETL. Lines of business can plan to integrate in-line real-time analytics with systems of record and radically improve business process automation and costs.”
—David Floyer, CTO and Co-Founder, Wikibon

Wikibon CEO Dave Vellante interviewed Oracle Senior Vice President, MySQL HeatWave Development, Nipun Agarwal on theCUBE.

Watch the video (23:21)

Wikibon CTO David Floyer posted his in-depth analysis of MySQL Autopilot and concluded that "Wikibon believes that the technology underlying MySQL HeatWave is an inflection point in database design and architecture...the MySQL HeatWave technology is by far the best in the market now...Wikibon believes that the MySQL HeatWave competitive advantage is sustainable for at least three years…we believe customers will demand that AWS provide similar converged functionality as HeatWave. Wikibon strongly recommends that enterprise IT departments set a three-year plan to eliminate separate OLAP databases and ETL from MySQL transactional databases and move to MySQL converged databases that support transactional and analytic workloads. MySQL HeatWave, the only platform that delivers these characteristics, is the obvious platform to evaluate now and for the next few years."

"New entrants such as Snowflake will need improved cloud technology fast to stay competitive with HeatWave."

"Google is in the worst TPC-H benchmark position with a 9x performance deficit and is 4x more expensive. The advent of MySQL HeatWave has made it harder for Google BigQuery to compete in the general-purpose data warehouse market."

"Alibaba, AWS, Google, Microsoft, and Snowflake will need some time to rearchitect their IaaS & PaaS platforms to run converged databases properly. In addition, most of these vendors will need to invest heavily in other converged database hardware and software."

Read the report (PDF)

"I expect that what AWS will try to do is improve the speed and connection between Aurora, which is row-based, and Redshift, which is column-based. The three major cloud players will be pushed to improve MySQL. My view is they will have to do something because this type of capability is vital for business process automation."

Read the article

“Open source developers who have not yet moved to MySQL Database Service with HeatWave are running out of reasons not to give it a try. Not only has Oracle simplified their lives with a unified OLTP and OLAP MySQL service, it has eliminated the need for a separate analytical database or data warehouse and ETLs between them. Plus, now it has delivered unparalleled performance and cost/performance. The latest additions include Autopilot, which has automated many onerous manual tasks from provisioning to data loading and query execution. Together with massive scale-out capabilities, this combination makes MySQL HeatWave melt down Snowflake and vaporize Amazon Redshift AQUA.”
—Marc Staimer, Senior Analyst, Wikibon

Marc Staimer concludes his analysis saying “It is now crystal clear that Amazon Aurora, Redshift with and without AQUA, Snowflake, Azure Synapse, and Google BigQuery are not in the same class as Oracle MySQL Database Service with Heatwave and Autopilot. They’re not even in the same league.

"MySQL Heatwave’s TPC-H analytics testing literally blows away Amazon Redshift with AQUA in both performance and cost/performance...it’s 6.8x faster and ~47% less expensive...Amazon Redshift with AQUA is ~18x slower resulting in MySQL HeatWave coming in at ~17x better cost/performance...MySQL HeatWave with AutoPilot sets the bar orders of magnitude higher than AWS, Azure, Google & Snowflake."

Read the report (PDF)

"Oracle is in the midst of a continuous product super cycle with the MySQL HeatWave cloud service. The company is introducing material innovation after material innovation while other MySQL and cloud database vendors have failed to innovate in any significant way. Its eye popping price/performance that’s up to 14 times better than Snowflake and 5 times better than Amazon Redshift with AQUA has left others in the dust scrambling to remain competitive."

"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."
—Marc Staimer, Senior Analyst, Wikibon


Wikibon CEO Dave Vellante interviews Oracle Senior Vice President of MySQL HeatWave Development, Nipun Agarwal, on theCUBE. They discuss the new machine learning capabilities of MySQL HeatWave, and other innovations.

Watch theCUBE interview (28:54)

Leading cloud industry analysts gathered together on theCUBE to discuss MySQL HeatWave ML, including Wikibon, Futurum, Constellation Research, Moor Insights, and Cloud Wars.

Watch "Analyst Power Panel: Future of Database Platforms" (43:39)

"MySQL HeatWave is for now and will continue to be a very tough combination to beat. Especially when considering it took a very skilled, knowledgeable, and experienced MySQL Engineering team 10 years to develop HeatWave. Competitors will find just catching up to the current HeatWave to be exceptionally challenging. It will be exceedingly problematic coming up with a viable answer in months or even years. It takes a lot of complex database engineering and time to meet, let alone keep up, with the pace of HeatWave innovations. As Oracle continues to raise the HeatWave bar at an unprecedented pace, that 10-year head start may well prove impossible to bridge."
—Marc Staimer, Senior Analyst, Wikibon

Read the report

Futurum Research

“These new fully transparent benchmarks demonstrate HeatWave’s performance, price and scale advantages over all other MySQL and cloud databases. With up to 7x the performance and 35x the price/performance of Snowflake—a fraction of the cost—you can see the 5 dozen patents at work with the whiplash-inducing performance of HeatWave. Clearly, the cloud data warehouse market wasn’t ready for this, and now the competition needs to scramble as they grapple for answers.”
—Ron Westfall, Senior Analyst and Research Director, Futurum

"I believe TPC-H, TPC-DS, and the new fully transparent CH-benCHmark demonstrate HeatWave’s performance, price, and scale advantages over Snowflake. They are clear, repeatable tests that provide the definitive technical facts which support Oracle’s claims."

Read the Futurum analysis on MySQL HeatWave vs Snowflake

Futurum analyst and frequent CNBC commentator Daniel Newman and his team published their detailed analysis of the MySQL Autopilot news and concluded that: "The bottom line is we believe the competition just got outplayed on every measurable metric imaginable. It also represents a wake-up call for the industry and a rude awakening to the database cloud competition as they all must now respond to the MySQL HeatWave innovation juggernaut…HeatWave is the physical manifestation of nearly 10 years of deep database engineering techniques, over 5 dozen patents, and demonstrates what real cloud database innovation looks like in 2021."

"Snowflake makes about as much sense as spending more to take a flight that gets you from London to New York in 6 days with 15 connections rather than a direct route that takes 8 hours."

"We believe that the MySQL Database Service with HeatWave offers the best value, bar none, across the entire MySQL DB market…the solution stands out with clear and unparalleled price/ performance advantages against the gauntlet of competition.”

Read the new Futurum analysis report (PDF)

"This latest announcement from Oracle is the third major release of MySQL HeatWave in just over 12 months. Oracle has delivered more cloud database innovations during that timeframe than most cloud database vendors have delivered in the last decade. Not only does the in-database HeatWave ML make Redshift ML look like yesterday’s tech in terms of engineering, performance and cost, but the latest MySQL HeatWave TPC-DS benchmarks demonstrate that Amazon Redshift, Snowflake, Azure Synapse and Google BigQuery are all slower and more expensive. It’s rather clear who’s innovating in cloud databases and who’s being complacent."
—-Ron Westfall, Senior Analyst and Research Director, Futurum

"MySQL HeatWave represents the fiscally responsible approach to cloud databases while AWS Redshift and Snowflake represent the fiscally reckless approach. From my perspective, the question for developers is: “Are you looking to be more productive, or spend time haggling with ETL tools and shuffling data back and forth?"
—Ron Westfall, Senior Analyst and Research Director, Futurum

Read the report: "MySQL HeatWave: Teaching the Competition a Lesson in ML"

"A new research report just published by leading cloud industry analysts at Futurum on HeatWave ML states “...we believe that the rarefied combination of real-world customer references, fully transparent and repeatable benchmarks and a continuous onslaught of innovation is the proven formula that sets MySQL HeatWave apart from anything else in the cloud database market today."

Read the report

Moor Insights & Strategy logo

"HeatWave is the only natively integrated analytics engine for MySQL and is unmatched in the industry in terms of performance and cost."
—Matt Kimball, Sr. Analyst, Data Center Compute, Moor Insights & Strategy

Read the report (PDF)

“For organizations using MySQL, Oracle has given yet another reason to invest in its HeatWave offering by delivering seven times the performance at 1/5th the cost of solutions such as Snowflake. Oracle continues to align its innovation and resources to the needs of its customers and the market. For those looking to extract the most out of their MySQL environments, HeatWave should be given a hard look.”
—Matt Kimball, Sr. Analyst, Data Center Compute, Moor Insights & Strategy

Moor Insights & Strategy Analyst Matt Kimball published his analysis of MySQL HeatWave in Forbes and concluded "it's hard to look at what Oracle is doing with HeatWave and not be impressed. In many ways, HeatWave is the very essence of what the cloud is about—commodity infrastructure architected in a scale-out fashion, enabling the best performance and price-performance for a given workload."

Read the analysis

The world's top ranked analyst Patrick Moorhead and his co-host frequent CNBC commentator Daniel Newman of Futurum recently hosted a podcast where they discussed the MySQL HeatWave news and concluded that "Oracle introduced MySQL HeatWave and they did send shockwaves because they named and shamed basically every database company out there and my favorite is what they talked about with Snowflake. You can spend $80K on HeatWave and that would cost you $420K to run on Snowflake. It’s a no brainer, Snowflake must be trembling in its boots. But there’s no snow on the ground so maybe it needs to wear sandals."

View the video (28:23)

According to Patrick Moorhead, "It’s the first cloud service to combine OLTP + OLAP + ML automation for MySQL applications at rates of performance that eclipse everything from Snowflake to Alibaba and anything in between...Oracle has positioned itself firmly as a leader in the MySQL space with HeatWave plus Autopilot based on Moor Insights & Strategy's evaluation...We consider Oracle MySQL Database Service with HeatWave and Autopilot as a 'must have' for organizations looking to derive the most from their MySQL environments."

Read the report (PDF)

"MySQL HeatWave is a cloud database service that has been architected for the commodity cloud and is in a state of continuous innovation. Further, the HeatWave engineering team has filed several dozen patents for the algorithms and technology—the HeatWave ML technology alone has around two dozen patents. The company is taking a service that provided real differentiation from its inception and continues to innovate at an accelerated pace for data-driven organizations."

"As a former IT professional, who managed a lot of data, I like how the MySQL HeatWave service takes otherwise complex and expensive functions and makes those available to the masses...MySQL HeatWave simplifies data management, democratizing the latest cloud database technology beyond data scientists and DBAs."

"While HeatWave ML's architecture can drive real, measurable value to an organization in terms of performance and cost, I believe the automation built into HeatWave ML will make it tangibly easier for customers to use, extending ML beyond the realm of data scientists. With HeatWave ML, Oracle has abstracted a lot of the fine-tuning and pseudo witchcraft that organizations must employ to make an ML training model 'just right.' And this applies across the organization—business analysts and data scientists looking to make sure the intelligence is correct and IT professionals being asked to deliver the right overall solution."
—Matt Kimball, Sr. Analyst, Data Center Compute, Moor Insights & Strategy

Read Forbes article by Moor Insights & Strategy

Watch the recording

Leading cloud analysts Daniel Newman, founding partner and Principal Analyst of Futurum Research, and Patrick Moorhead, Founder, President and Principal Analyst at Moor Insights & Strategy, recently discussed the MySQL HeatWave ML news on The Six Five podcast, stating "We found the benchmarks demonstrated clear outperformance at this current time against Redshift, Snowflake, Synapse and BigQuery. All of them were both more expensive and none of them had the same level of performance."

"HeatWave’s incredible performance has a lot to do with the fact that it’s all in-memory where other solutions are spooling out back and forth to disk so architecturally that gives HeatWave a big advantage on performance pretty much versus anything that touches a disk, so that doesn’t surprise me. I didn’t see any HeatWave competitor saying that these benchmarks were wrong either so I think they know. And this next step...this update added ML in the database at no extra cost."
–Patrick Moorhead, Founder and President, Moor Insights & Strategy

Watch the recording (45:08)

dbInsight logo

"The MySQL landscape needed a shakeup...Oracle is not only aiming to change the script, but also completely redefining what MySQL is...Oracle MySQL is a well-thought out debut cloud offering that turns up the heat on rival MySQL services."
—Tony Baer of dbInsight and ZDnet

Read the report (PDF)

"MySQL HeatWave goes on Autopilot...compared to AWS, Oracle positions MySQL HeatWave as transcending the capabilities of Amazon Redshift (for analytics); AQUA (analytics query acceleration); Aurora (for transactions); and Glue (for ETL)... HeatWave's Autopilot capabilities are designed to introduce intelligent automation to a market working with small departmental databases that prefers open source, is cost-sensitive, and is more accustomed to manual knob turning."
—Tony Baer of dbInsight and ZDnet

Read the article

Make no mistake about it, with double the scale and ML-based optimization, MySQL HeatWave is very much about reducing cost, increasing simplicity, and introducing analytics to organizations that already have MySQL and are looking for solutions to run them more economically, more simply, while adding real-time analytics... we believe that the use of ML internally presents the biggest bang for the buck for MySQL customers.
—Tony Baer of dbInsight and ZDnet

Read the dbInsight report

ESG logo

“MySQL is a popular cloud relational database for mid-sized users and applications; but it has traditionally come with some limitations. Developers must suffer manual database setup and tuning as well as often poor performance running queries. That all changes now: Oracle’s MySQL Database Service with HeatWave addresses those issues--it's MySQL Autopilot uses advanced ML to automate provisioning, tuning and more, to drive crazy good performance and price/performance. Scalability is enhanced with node and processing capacity increases. With claimed specifications that are so far ahead of its competition as to simultaneously generate a broad grin and some skepticism, Oracle understands that the proof is in the pudding--not only is this open source, but the test case details are all being openly posted, meaning that interested MySQL users that are intrigued by a mix of astounding performance, reduced costs and no need to change applications, can actually go try the pudding for themselves”
—Mark Peters, Principal Analyst & Practice Director, ESG

In its analysis, ESG noted that "…you’re probably looking at a generous order of magnitude price and performance advantage over alternatives you might be using or considering. That’s not a bad forecast to deliver to the CIO or CFO".

"The performance numbers are staggering—mixing Oracle’s test results together with endorsements from those users highlighted in the event announcement—one sees improvements ranging from a mere (!) 7x to 1000x or more on speed, combined with costs that are reduced by 30-80%. There’s one comparison that actually showed Oracle with a similar cost to the competitor, but Oracle was 18x faster!"

Read the analysis by ESG (PDF)

"Organizations are struggling with implementing machine learning broadly in their applications. Some lack the skill sets required, others have the data scientists but they’re overburdened trying to complete projects. Beyond that, using machine learning involves disparate tools, services, and processes which require moving data using ETL to a different service or environment, adding time, complexity, and security risk. Oracle’s HeatWave ML democratizes machine learning by automating the machine learning lifecycle—model training, inference, and explanations—and brings ML into HeatWave, no ETL required. Explanation capabilities, a core feature of HeatWave ML, are particularly impressive by providing users with understandable rationales for the model’s results that may be needed for regulatory compliance. As far as I’m aware, no other cloud provider goes this far with their ML when it comes to automation, explainability, or in providing ML benchmarks using standard data sets. The early benchmark results are eye-opening with performance boosts of as much as 25X at 1% of the cost of the competition. And the kicker is accuracy is improved too. Only MSQL HeatWave."
—Mike Leone, Senior Analyst, ESG

"Choosing not to invest in MySQL HeatWave ML and continuing to use 2-3 ETL tools plus two databases comes down to deciding whether you want to embrace the future or fight the future. Inevitably, all cloud database services are headed toward higher degrees of convergence and automation. The question is whether you want to explain to management that you could be saving money and time but instead are stuck in the past. And as long as all requirements are met, managing one database is always better than two. Remember that."

"There are no more excuses for ML projects failing due to a lack of data scientists, taking too long to execute, using old data, or costing too much. With HeatWave ML, machine learning is democratized, it’s fast, uses up-to-date data, and costs less than other cloud database services."

"ESG suggests pressing vendors for validated benchmark results to best understand how each ML solution can perform. This should be extended to evaluate cost via price/performance. To date, Oracle is the only vendor to publish fully-transparent, repeatable ML benchmarks on GitHub."
—Mike Leone, Senior Analyst, ESG

Read the white paper by ESG (PDF)

KuppingerCole logo

“The new capabilities that Oracle added to MySQL HeatWave take it to the forefront of open-source cloud databases. Not only are several management functions automated with Autopilot, making guesswork obsolete, when they are combined with new scaling enhancements, the resulting price/performance ratio is far beyond other cloud database services. As we mentioned previously, ETL presents significant security threats. HeatWave’s combining OLTP and OLAP into a single, protected database instance can dramatically reduce the potential attack surface, improve security posture, and in the end, avoid a data breach or a compliance fine.”
—Lead Analyst and Chief Technology Officer, KuppingerCole Analysts

"Brace yourself, a Heatwave is coming...the very idea that your data no longer needs to move between data stores with different access models and security controls or that it has to be exposed to a complex and error-prone ETL process has massive security and compliance implications: this dramatically reduces the risks of accidental exposure that leads to data breaches, and, inevitably, to compliance fines. It’s also worth noting that HeatWave now enforces full data encryption, both at rest and in transit—a setting that users cannot deactivate."

Read the KuppingerCole blog on MySQL Autopilot

"Oracle is bringing new capabilities in MySQL HeatWave to help customers avoid ETLs that create additional attack surfaces for malicious actors. These security holes are present not only during data movement, but also as different databases and tools inherently have different security and access controls. The new HeatWave ML is the latest result of Oracle’s in-database development strategy, which contrasts with the approach of many cloud database providers that continue to promote specialized database engines and tools. Oracle’s unified MySQL HeatWave database can dramatically reduce the potential attack surface for sensitive data, while demonstrating impressive benchmark results for machine learning and analytics, taking it to a new level in the industry."
—Lead Analyst and Chief Technology Officer, KuppingerCole Analysts

OMDIA logo

“The latest MySQL HeatWave announcement reaffirms and extends Oracle's commitment to the open source database market. Integrated with MySQL Database and optimized for OCI, HeatWave seamlessly brings together analytic and operational workloads within one database and does without sacrificing scale or performance. More than that, MySQL HeatWave introduces several innovations that promise to greatly elevate MySQL's price/performance value. For example, by engineering internally developed machine learning algorithms within MySQL HeatWave, Oracle can now automate and optimize database provisioning, data loading, query execution, and failure handling. This is not easy to replicate.”
—Bradley Shimmin, Chief Analyst AI Platforms, Analytics, and Data Management, Omdia

In its analysis Omdia notes that "Customers invested in any MySQL derivative, whether on premises or in cloud, should move to or stick with MySQL Database Service on OCI."

Read the report (PDF)

"Oracle continues to deepen its stewardship of MySQL with new enhancements to its leading open source database. Center stage is HeatWave machine learning (ML), which lets data science practitioners run ML workloads right in the MySQL database. This does away with the labor-intensive and costly process of extracting and moving data out of the database to external ML platforms. Instead HeatWave ML fully automates the ML lifecycle from model training to inference and explanation… By building ML directly into MySQL, using technologies familiar to database users and automating workloads typically restricted to ML experts, Oracle hopes to greatly broaden the use of machine learning in organizations—it’s not just for data scientists any more."

"...The introduction of MySQL HeatWave ML is noteworthy not just in terms of its performance objectives but also because it reinforces Oracle's longstanding approach to databases, which emphasizes multi-model and multi-workload functionality within a single database. This philosophy contrasts sharply with many database and cloud platform rivals Microsoft, Amazon, and Google, which emphasize the adoption of specialized databases supporting specialized workloads. Given the level of automation and purported price performance benefits of HeatWave ML, Oracle offers a compelling alternative for customers looking to enrich their investment in MySQL without incurring additional complexity or cost."
—Bradley Shimmin, Chief Analyst AI Platforms, Analytics, and Data Management, Omdia

Unlike competitive solutions that still rely in part on external compute resources and data movement, the ML processing in HeatWave is done inside the database and as a result neither the data nor the model leaves the database, which translates into lower costs.”
—Bradley Shimmin, Chief Analyst AI Platforms, Analytics, and Data Management, Omdia

Read the blog

WinterCorp logo

“For customers looking for an open source cloud data warehouse, MySQL HeatWave provides an in-memory query acceleration engine that delivers substantial competitive advantages over AWS Redshift, Aurora and Snowflake.”
—Richard Winter, CEO, WinterCorp

In its analysis, WinterCorp notes that "This is MySQL in a way we have never seen it before, with highly parallel query execution, significant machine learning-based automation with MySQL Autopilot, demonstrated excellent price performance compared to other offerings, and other strengths."

Read the report (PDF)

"Oracle has been adding major new capabilities to MySQL HeatWave at a striking pace. In less than 15 months, we have seen an integrated, in-memory query acceleration engine for both OLAP and OLTP; Autopilot for automated management; and now in-database machine learning, elastic scaling and a lower price entry point. In addition, Oracle has released query processing and machine learning benchmarks that show superior performance and price/performance over other popular cloud database offerings. Customers with an interest in an open source cloud database really ought to take a look at MySQL HeatWave."
—Richard Winter, CEO, WinterCorp

Leading database consultant Richard Winter published his take on the MySQL HeatWave ML news and concluded "...this announcement puts MySQL HeatWave much further ahead of comparable offerings on AWS. The closest alternatives would be the combination of AWS Aurora and Redshift or the combination of AWS Aurora and Snowflake. Both of these combined offerings would also require a host of chargeable AWS ETL tools and services to provide the capabilities built into MySQL HeatWave. In the case of MySQL HeatWave, one database is clearly better than two."

Read the report (PDF)

Cloudwars logo

"Oracle Unleashes Heatwave on MySQL, Thumps AWS Redshift & Aurora."
—Bob Evans, Cloud Wars founder

Read the article

these last two announcements around MySQL have been somewhat of a surprise…This could be the start of an industry revolution in open-source databases.
—Bob Evans, Cloud Wars founder, published his take on MySQL Autopilot.

Read the Cloud Wars article

One MySQL HeatWave database is simpler than two from AWS plus all the associated ETL tools and data movers—that’s a fact, not an opinion...I’ve been around the tech business for some time, and I don’t recall seeing performance gaps as profound as the ones that Oracle has cited for its new MySQL HeatWave database. When technological breakthroughs of this magnitude happen—and please trust me when I say that breakthroughs of this scale do not happen often—the result is not just small-scale incremental moves by competitors trying to play catch-up in an outdated game offering outdated results. Instead, the competitors are forced to regroup and head back to the labs and attempt to compete against entirely new standards, new levels of performance, new levels of value, and ultimately new levels of customer expectations.

"Of all the new features and power within MySQL HeatWave, the biggest one is that customers can now use MySQL HeatWave to handle the trifecta of transaction processing, analytical query processing and machine learning in one single and thoroughly modern cloud database. That clearly represents a triple threat to Snowflake, AWS, Microsoft and Google."

"Enhanced security for dangerous times: the elimination of the ETL process dramatically limits the exposure that companies face when moving data frequently between systems…over the past decade or so, the main criticisms of ETL have been the costs involved and the manual labor required to support the required processes. But now that cybersecurity has become a board-level issue, MySQL HeatWave’s ability to lower security exposure by eliminating ETL has become a major attraction for customers."

"With HeatWave, ETL goes the way of the dodo bird and the data can be analyzed and machine learning models can be generated in the same database in which the transactions were posted in real-time. For customers, that means eliminating security exposure, less labor, and lower expenses, and more speed."
—Bob Evans, Cloud Wars founder, published his take on MySQL HeatWave ML

Read the Cloud Wars report

Screaming in the Cloud logo

Corey Quinn interviews Nipun Agarwal, Senior Vice President of MySQL HeatWave Development at Oracle.

Listen to the podcast (34:45)

"You put not just the benchmarks, but data sets, and your entire methodology onto GitHub as well. What led to that change? That seems like the least Oracle-like thing I could possibly imagine."
—Corey Quinn, Chief Cloud Economist

Read the Cloud Wars report

Corey Quinn interviews Nipun Agarwal

Corey Quinn interviews Nipun Agarwal, Senior Vice President of MySQL HeatWave Development at Oracle, regarding the MySQL HeatWave ML announcement.

Listen to the podcast (38:06)

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