Harness the power of a data cloud and start planning for change now

Companies often struggle to remove the barriers that sit between them and their data, with 68% of organisations reporting that the are still unable to realise tangible and measurable value from data.

Google brings data and software together for businesses of all sizes looking to build a data cloud. Google offers the industry’s only unified data platform to take your company beyond anything you can imagine today.

Leading Google Cloud products achieve lower TCO and improved productivity

BigQuery

BigQuery is a serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.

Cloud Spanner

Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.

Looker

An enterprise platform for business intelligence, data applications, and embedded analytics.

Vertex AI

Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform.

Lower TCO than cloud data warehouse alternatives

Lower TCO compared to on-premises databases

Improvement on data teams’ productivity with Looker

Fewer lines of code needed to build custom models

Why Google for your data cloud?

The most unified data and AI solution provider

Google offers the ability to manage each and every stage of the data life cycle. From running operational transactions to managing analytical applications across data warehouses and data lakes to rich data-driven experiences that break down silos. AI/ML is a core component of the data cloud solution.

Freedom of flexibility with an open platform

Google Cloud is open and standards-based. It offers best-in-class integration with open source standards and APIs, which ensures portability to prevent lock-in. Choose from a wide range of transactional, processing and analytics engines, including a choice of deployment across multicloud and hybrid environments and easy interoperability with existing partner solutions and investments.

Built-in industry leading ML and AI

Google was built on pioneering AI research and the principle of making the world’s information useful to people and businesses everywhere. Google offers a new, unified AI experience in their data cloud that gives every data scientist, data analyst, and ML engineer access to the same toolkit Google uses, to drive business outcomes.

Unlike MFST and AWS Redshift, you can use BigQuery to do analytics across clouds without moving your data, lowering egress costs.

Unlike Snowflake, you can analyse both structured and unstructured data with embedded capabilities in AI and ML, for improved insights.

Unlike Snowflake, with BigQuery you can gain insights with real-time predictive analytics for incredibly large volumes (petabytes) of data, securely and at global scale. BigQuery can process over 100 terabytes of data per second at peak.

Unlike Snowflake and Databricks, with Vertex AI you can easily integrate data engineering capabilities directly into the data science environment, to drive 5X ML model development and experimentation, with 80% fewer lines of code.