Data is the core of the business
Decisions rely on large volumes of sales, customer and marketing data.
GCP
Google's cloud platform: servers, managed databases, Kubernetes, BigQuery and machine learning. We choose it when the product relies on data and analytics.
WHY WE CHOOSE THIS
With lots of data, a regular database falls behind and reports take hours. GCP delivers big data analytics as a ready service, with no in-house warehouse or separate support team.
The business runs on Google
The company already uses Google Workspace, GA4 or Google Ads and wants to connect the data in one cloud.
The product needs scale
Load changes unpredictably, and the infrastructure has to adjust automatically.
Data warehouses and analytics
BigQuery to combine ad, CRM and website data in one database for reporting.
Web apps and APIs
Cloud Run and managed Cloud SQL databases with no server administration.
Container-based products
Google Kubernetes Engine for services with autoscaling.
Marketing data
GA4 export to BigQuery and work with Google APIs for end-to-end analytics.
CASE FOR THIS TECHNOLOGYAll cases
OCTOBER 2026eСommerce / DEVELOPMENTWe rebuilt e-commerce without stopping sales
Purchase conversion up from 1.4% to 3%: a new platform for 1M+ products with no sales stoppage.
Let’s discuss the project in person
Start with clarity, not spending
Book a Clarity Session—a 30-minute review of your marketing. You will receive a map of bottlenecks and a clear understanding of the next steps.
Clarity first. Then — managed and systematic growth.
REVIEWS
All reviewsAre clients satisfied?
The team took a professional approach to upgrading site, ensuring high-quality project delivery without interrupting the store’s operations.
Nikolay LuchinskyRetail Director / STOREinUATECHNOLOGY FOUNDATION
Other technologies in our stack
Is GCP expensive?+
It depends on the architecture. You pay for actual usage, so a small product can be inexpensive, while inefficient BigQuery queries can be the opposite. That is why we set up budget alerts and design queries with cost in mind.
Why GCP and not AWS?+
Both clouds cover typical needs. We choose GCP when analytics is at the center of the product: BigQuery and the link with GA4 and Google Ads. We recommend AWS when you need a wider set of services or the client's team already works with it.
Can we move our product to GCP?+
Yes, in most cases. First we analyze the current infrastructure and dependencies, then migrate in stages so the product keeps running. Apps already packaged in containers are the easiest to move.
We choose the cloud for the data that drives the business.
GVSPACE builds infrastructure on Google Cloud Platform for products where data and analytics drive decisions. We set up BigQuery to combine ad, CRM and website data, deploy apps on Cloud Run and Google Kubernetes Engine, and connect managed databases. We design the architecture with cost control so the cloud scales with the business and the bill stays predictable.