Data and Analytics with Google Cloud

Trusted by thousands of cloud-driven organizations
Data and analytics with Google Cloud and DoiT
DoiT has shown its technical proficiency and proven success in migrating data workloads to Google Cloud and managing them. Data management specialization applies to Google Cloud products including Google Cloud SQL, Cloud Spanner, BigTable, Firestore, Firebase and MemoryStore.
Many companies are not harnessing data and analytics effectively to engage in data-driven decision-making. As the ideal platform for processing big data, the cloud offers almost limitless computing resources and services, making big data technologies accessible and affordable for almost any business.
Partner with us to plan and architect a big data process on Google Cloud.
“It only took a day or two, as we had excellent support from Google Cloud Partner DoiT International. They examined our existing architecture and helped us to anticipate any obstacles and challenges, which meant the move was more or less frictionless.”
Haggai Hofland
CEO

Understanding data and analytics on Google Cloud
Leveraging the public cloud for data and analytics allows businesses to circumvent the limits of a data center. The sheer scale of available infrastructure and software services makes it possible to complete big data projects of almost infinite size.
One of Google Cloud’s key strengths is its data and analytics capabilities, particularly unique offerings such as BigQuery and BigTable. Google Cloud Platform provides services for each stage of the data lifecycle, designed to meet the unique data application needs and workflows of any business.
With BigQuery, you can apply relational database insights to massive quantities of data. Cloud Bigtable is a highly distributed data system that sorts related data into a multidimensional assembly of key/value pairs, based on the large-scale storage system Google designed to store search indexes. These and other Google Cloud tools make it easy to generate the kind of data analytics that provide meaningful insights that drive better business decisions.
To learn more about how DoiT can help with your Google Cloud data and analytics usage, click to get in touch.
Related resources

DoiT Named a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud Financial Management and FinOps 3.0
Introduction DoiT has been recognized in the 2025 Gartner Magic Quadrant™ for Cloud Financial Management as a Visionary. We

DoiT launches Remote MCP Server: Get cloud cost insights with full business context through AI
Cloud cost analysis lacks business context—when costs spike, you’re missing the deployments, conversations, and decisions that caused it. DoiT’s remote MCP server enables AI assistants to query your cost data alongside business context from other tools, delivering the complete story behind every spending change.

Introducing the Anthropic cost & usage integration
Monitor Claude AI spending with DoiT’s Anthropic integration. View AI costs alongside cloud spend, allocate to teams, detect Claude model cost anomalies.