According to Fortune Business Insights, the global Software as a Service (SaaS) market is projected to grow from $273.55 billion in 2023 to $908.21 billion by 2030, at a CAGR of 18.7%. The COVID-19 pandemic accelerated the demand for cloud-based solutions, which allowed businesses to keep serving their customers and enabled remote working.

For ISVs delivering SaaS applications, selecting the right cloud platform is crucial as it represents the foundation their applications are built on, and has a large impact on how well they can serve their customers.

MySQL HeatWave has become a very popular choice for ISVs, who are increasingly migrating to MySQL HeatWave from Amazon RDS, Aurora, or MySQL Community Edition for example. MySQL HeatWave is a fully managed database service, powered by the HeatWave in-memory query accelerator. It’s the only cloud service that combines transactions, real-time analytics across data warehouses and data lakes, and machine learning in one MySQL database—without the complexity, latency, risks, and cost of ETL duplication. It’s available on OCI, AWS, and Azure.

Let’s consider why four ISVs migrated to MySQL HeatWave, and the results they achieved:

ISVs improve their customers’ experience with MySQL HeatWave

Nidhi Infocomm boosts SaaS performance 5X by moving from AWS to MySQL HeatWave on OCI

The MERCI Enterprise Resource Planning platform—provided by Nidhi Infocomm—has become one of the most popular ERP systems in India, especially within the textile industry. The company’s MERCI Global cloud-based ERP was initially running on AWS. Customers began complaining of slow response times and unacceptable downtime. To compound matters, Nidhi Infocomm endured several cyberattacks on the data center in Mumbai, found AWS support and security to be lacking, and began questioning costs. Nidhi Infocomm decided to migrate its MERCI Global platform to MySQL HeatWave on OCI and achieved the following:

  • The ERP ran 5X faster on MySQL HeatWave than on Amazon Aurora
  • Customers immediately experienced 99.999% availability
  • HeatWave’s powerful analytics capabilities with fast query handling and report generation enabled customers to analyze their business processes 
  • Users run real-time analytics on data stored in MySQL—without a separate analytics database and ETL duplication
  • MySQL HeatWave on OCI translated into huge time and cost savings for customers
  • OCI’s security, including always-on encryption, Web Application Firewall, and OCI Network Firewall prevented the DDoS (Distributed Denial-of-Service) attacks that the company previously endured in the AWS data center

“Oracle’s MySQL HeatWave database service is truly a game changer. It delivers faster performance by eliminating data copies and ETLs. And by running on OCI, we now give our customers a secure, high-availability ERP platform for their businesses. The support from the Oracle and MySQL teams is amazing and exceeds expectations, and the migration from AWS was a breeze.”

—Gagan Raj, Director and Founder, Nidhi Infocomm

Broctagon Fintech Group migrated its flagship Forex CRM to MySQL HeatWave

Broctagon’s Forex CRM equips retail brokerage firms with a solution that integrates multiple trading platforms and facilitates rapid market expansion with advanced affiliate capabilities. Broctagon began hosting its CRM on Amazon Aurora, serving each customer with its own cluster. Over time, with a rapid increase in client base and thus data size, the company found that the cost of scaling up for enhanced performance was becoming prohibitive. The company decided to migrate to MySQL HeatWave on OCI and obtained the following results:

  • Improved performance by 30%
  • Reduced costs by 35%
  • Provides its CRM users with real-time trading account information and trade history data—syncing data directly from different external sources such as the MetaTrader 4, MetaTrader 5, and cTrader platforms
  • Freed developers from heavy administrative work by automating updates, backups, monitoring, and more, channeling focus to the development of new functions that are frequently rolled out
  • Plans to leverage the built-in MySQL HeatWave AutoML to help Forex brokers attract and retain traders with useful machine learning-based recommendations 

“We can connect MySQL HeatWave to all the trading platforms, dashboards, and reports, delivering them through one pane of glass, saving us operational and developmental time and money, while ensuring the highest data quality.”

—Michael Mai, Technical Lead, Broctagon Fintech Group

Teyuto delights customers with machine learning-based recommendations powered by MySQL HeatWave

Teyuto is an Italian SaaS ISV that develops a white-label video platform enabling businesses to distribute and monetize video content. It initially adopted MySQL Community Edition on AWS, and later on Google Cloud Platform. However, Teyuto wasn’t satisfied with the performance and the complexity of integrating and managing different cloud services for transactions, analytics, and machine learning. The startup also needed a cost-effective, high-performance machine learning engine to power its AI recommendation system designed to convert and retain video consumers. Teyuto migrated to MySQL HeatWave on OCI and achieved the following:

  • With MySQL HeatWave AutoML, Teyuto enabled its subscribers to keep their customers engaged and willing to purchase more products and services via ML-based personalized recommendations
  • Built-in analytics give subscribers real-time statistics on the number of viewers per channel or individual video, revenue, demographics, and more
  • Improved staff productivity by 50% redeploying resources previously focused on programming as MySQL HeatWave provides a fully integrated OLTP, OLAP, and ML system
  • Saved 35% in operational costs
  • Eliminated complex ETL processes

“For me, HeatWave is the future because of its machine learning integrated within MySQL with immense power. It’s astounding and the speed is remarkable. MySQL HeatWave AutoML has it all.”

—Marcello Violini, CEO & Founder, Teyuto S.r.l.

Sam.ai helps clients make decisions at the speed of thought with MySQL HeatWave

Sam.ai offers conversational intelligence that you can talk to and get answers 400% faster than with clicks, taps, and keystrokes—providing insights not limited by the search, sort, and filter options of a user interface. Sam.ai used Amazon RDS and began struggling with performance issues that often resulted in long response times or 404 errors for major clients with large datasets. Even after increasing computing spend by 35% and escalating issues via premier support channels, the company’s performance problem could not be resolved. Plus, management was keenly aware that any increases in computing costs would need to be passed on to customers. After a detailed evaluation ruling out AWS and Snowflake, MySQL HeatWave on OCI was selected based on its performance, cost, and the technical support provided. With MySQL HeatWave, Sam.ai obtained the following results:

  • Doubled the processing speed it experienced with AWS at 45% of the cost
  • I/O operations per second increased from 4,000 to 50,000
  • Up to 50X improvement in query speed
  • With the radical increase in performance, Sam.ai now answers questions that it could not before
  • The superior price-performance also gave the company a level of availability that it could not afford with AWS, Azure, or Google

“With the performance of Oracle’s MySQL HeatWave database service on OCI, Sam.ai can analyze data and answer questions that it couldn’t on AWS. It has given us an unmatched competitive advantage at a predictable cost, especially for our SAM HQ product for enterprise clients.”

—Raz Choudhury, Founder and CEO, Sam.ai

The above examples demonstrate how ISVs can gain a competitive advantage by migrating to MySQL HeatWave. They can deliver a better customer experience, and increase performance, security, as well as productivity while reducing costs. In-database machine learning with HeatWave AutoML enables ISVs to build, train, deploy, and explain machine learning models within MySQL HeatWave, at no additional cost. They can for example rely on the HeatWave AutoML recommender system to generate ML-powered personalized recommendations.

As pointed out earlier, selecting the best foundation to build your SaaS applications is crucial to success, we encourage you to consider how you could benefit from MySQL HeatWave, and to contact us for any questions you may have.

Additional resources

•    MySQL HeatWave migration program
•    Request a free MySQL HeatWave workshop
•    Try MySQL HeatWave for free