List of Google Cloud SQL for MySQL Customers
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Since 2010, our global team of researchers has been studying Google Cloud SQL for MySQL customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud SQL for MySQL for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud SQL for MySQL for Database Management include: NestLabs, a United States based Manufacturing organisation with 1000 employees and revenues of $340.0 million, Chess.com, a United States based Media organisation with 400 employees and revenues of $100.0 million, Sensedata Brazil, a Brazil based Professional Services organisation with 120 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud SQL for MySQL, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud SQL for MySQL customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Chess.com | Media | 400 | $100M | United States | Google Cloud SQL for MySQL | Database Management | 2019 | n/a | In 2019 Chess.com migrated significant backend database functionality to Google Cloud using Google Cloud SQL for MySQL as its Database Management platform to support online gaming and application backend services. The migration began in mid-2019 and later included an upgrade of core services to Cloud SQL Enterprise Plus to target performance and cost improvements. The deployment used Google Cloud SQL for MySQL with Enterprise Plus service capabilities for managed MySQL operations, automated maintenance, and enhanced observability to accelerate query troubleshooting. Configuration work emphasized instance sizing, high availability configuration and maintenance window management appropriate for a global, latency-sensitive gaming platform. The implementation delivered faster query visibility for SRE and developer teams and reduced maintenance overhead. Operational scope focused on online gaming and application backend services serving Chess.com's global user base, with the Database Management layer integrated into application backends and site operations. SRE and developer teams were the primary operational owners, using the Cloud SQL environment for incident response and iterative application tuning. Architecture choices favored managed service primitives to shrink server footprints and simplify operations. The Cloud SQL Enterprise Plus upgrade yielded explicit outcomes reported by the customer, including a 71% reduction in p99 latency and smaller server footprints, and it contributed to reduced costs and major maintenance time savings for SRE and developer teams. Governance continued to center on managed backup, monitoring, and controlled maintenance windows to preserve availability for the global user base. | ||
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NestLabs | Manufacturing | 1000 | $340M | United States | Google Cloud SQL for MySQL | Database Management | 2023 | n/a | In 2023, NestLabs implemented Google Cloud SQL for MySQL as part of a consolidation of terabytes of legacy MySQL subscription databases into Google Cloud, aligning database infrastructure with a broader shift to GKE. This implementation is categorized under Database Management and targeted subscription management and backend operations across US and global regions. The program aimed to reduce operational overhead and improve availability while preserving near zero downtime for customer-facing services. The technical implementation centralized transactional workloads on Google Cloud SQL for MySQL, provisioning managed instances with high availability and integrating them into containerized backends running on GKE. Functional coverage focused on subscription management schemas and backend operational datasets, with instance sizing, read replica configuration, and connection pooling tuned for p50 latency improvements. Automation included orchestrated cutover sequencing and continuous replication to minimize service interruption. Data migration and validation were executed using Database Migration Service together with dedicated data validation tooling to ensure no data loss during cutover. Operational integration tied Cloud SQL endpoints to GKE service meshes and existing backend APIs, with SRE teams governing failover, maintenance windows, and postcutover verification. The rollout was staged to limit blast radius, with phased cutovers and validation checkpoints across the US and global deployment footprint. Governance emphasized runbook updates, verification gates, and SRE ownership of postmigration operations to sustain availability and to reduce operational toil. Outcomes reported include near zero downtime during cutover, measurable improvement in availability, and approximately 25 percent improvement in p50 latency, which also freed SRE bandwidth for higher value engineering tasks. | ||
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Sensedata Brazil | Professional Services | 120 | $3M | Brazil | Google Cloud SQL for MySQL | Database Management | 2019 | n/a | In 2019, Sensedata Brazil adopted Google Cloud SQL for MySQL to reduce operational overhead for multi tenant customer databases. The Database Management implementation targeted SaaS application and backend data storage hosted in Brazil during the companys Google residency. The deployment used Google Cloud SQL for MySQL as a managed relational database layer to support tenancy strategies and to shift routine database administration responsibilities to the managed service, leveraging standard Database Management capabilities such as automated backups, patching, and scaling. Implementation work emphasized application side tenancy controls and centralized connection handling to simplify operations while preserving customer isolation. As data needs grew the stack evolved toward Google Cloud SQL for PostgreSQL and BigQuery to address larger analytical workloads and storage demands. Operational scope included product engineering, platform operations, and customer success teams, with governance focused on database provisioning workflows and platform driven onboarding to accelerate releases. The move to Google Cloud SQL for MySQL delivered explicit reductions in DBA and ops workload and enabled faster product iteration and scalable customer onboarding. |
Buyer Intent: Companies Evaluating Google Cloud SQL for MySQL
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