northdan.
Vezi pagina în română

Technologies

Google Cloud: the infrastructure behind the best data tools

The cloud built on Google's own infrastructure — with clear advantages in data, AI and Kubernetes.

Google Cloud is the world's third cloud player, but in three specific areas it makes a first-choice case: BigQuery, the analytics service querying billions of rows in seconds with zero server administration; managed Kubernetes in its most mature form — Google created the technology; and direct access to Gemini AI models for intelligent integrations. We recommend it when data analytics is the main stake — reporting over large volumes, multiple sources unified — or when the architecture is already containerized and the team wants the cleanest Kubernetes on the market. The obligatory honesty: the GCP partner and specialist ecosystem is thinner than AWS's or Azure's, and for generic hosting workloads the differences against the other two are small — which is why we recommend it selectively, on its genuine strengths, not as cloud religion.

Let’s talk about your project

Message us on WhatsApp or send an email — you talk directly to a developer.

office@northdan.com · +40 752 070 247

What you get

Serverless data analytics

BigQuery queries billions of rows in seconds and bills per query — enterprise reporting without infrastructure to administer.

Kubernetes from the source

Google created Kubernetes, and its managed service remains the reference — automatic upgrades and simplified operations at a high standard.

AI wired straight in

Gemini models and document-processing tools are called natively from applications — AI integrations start without dedicated infrastructure.

Frequently asked questions

When does Google Cloud beat AWS or Azure?

When data analytics is the stake — BigQuery has no equal for simplicity at scale — when your architecture is containerized on Kubernetes, or when you integrate Google's AI models. For generic hosting, the decision comes down to pricing and your team's ecosystem.

What is BigQuery and why does it matter to a business?

A SQL-queryable data warehouse processing billions of rows in seconds with no servers to manage: load your sales, inventory and marketing data, and reports that took hours run in the time of a coffee. You pay only for the queries you run.

Is Firebase part of Google Cloud?

Yes — the popular mobile-app platform belongs to the Google Cloud ecosystem, and its data can be analyzed directly in BigQuery. For mobile apps with simple backends, the combination shortens development considerably.