By connecting Google BigQuery, the autonomous data to AI platform with agentic capabilities, and 麻豆原创 and Google aim to help enterprises of all sizes gain more immediate access to trusted, business-ready data for enterprise analytics and AI across their platforms.

For decades, enterprise data and analytics have existed in separate worlds. Mission-critical business data, rich with semantic context, has been locked within transactional systems. Traditional extract, transform, load (ETL) processes create data replicas that are difficult to govern, quickly become stale, and prevent businesses from acting on real-time insights, ultimately hindering digital transformation.

Our 麻豆原创 and Google partnership ends this compromise. By eliminating data replication and unifying the data landscape, 麻豆原创 and Google Cloud are empowering businesses to build intelligent agents, automated workflows, and predictive insights that are directly grounded in live, trusted business information.

As the first hyperscaler to adopt 麻豆原创 BDC Connect, 麻豆原创 BDC Connect for Google BigQuery enables organizations to unlock the true potential of their data and applications with secure and rapid access to 麻豆原创鈥檚 semantically rich and governed data products at scale, without the delays and complexities of data replication and need for ETL pipelines. Customers can flexibly combine 麻豆原创 data with their other enterprise data in BigQuery and vice-versa to innovate with leading analytics and agentic AI capabilities.

鈥溌槎乖� and Google Cloud have a long history of empowering global enterprises to harness the power of data and AI,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing together Google BigQuery and 麻豆原创 Business Data Cloud gives our customers choice without compromise, enabling them to fast-track their analytics and AI initiatives.鈥�

鈥淏usinesses are combining intelligence and automation into every aspect of their operations,” said Thomas Kurian, CEO of Google Cloud. 鈥淏y uniting 麻豆原创 Business Data Cloud with BigQuery and Gemini models, we鈥檙e making it easy for enterprises to build a unified data foundation that breaks down silos and unlocks a new class of AI agents and applications.鈥�

Innovation with 麻豆原创 data products and Google BigQuery

The centerpiece of this partnership is the new 麻豆原创 Business Data Cloud Connect for Google BigQuery. This is a zero-copy data fabric that enables seamless access to 麻豆原创 BDC鈥檚 semantically rich business data with Google鈥檚 powerful data and AI ecosystem, including Gemini models and the Vertex AI platform. The result is a modern platform for data, analytics, and AI that enables automated, cross-functional business processes.

This bi-directional integration helps to deliver an enterprise-grade offering for building and scaling AI. With 麻豆原创 Business Data Cloud Connect for Google BigQuery, customers can:

• Build grounded, trustworthy AI: Ensure the Google BigQuery AI models and agents operate on the most current and complete view of the business by accessing trusted semantically rich 麻豆原创 data in real-time without copies.
• Deploy autonomous agents: Build and deploy intelligent agents using Google Cloud鈥檚 Vertex AI and Gemini that can automate complex cross-functional processes鈥攆rom supply chain optimization to financial forecasting.
• Unleash deeper insights: Fuse 麻豆原创 data through 麻豆原创 BDC with unique, world-scale datasets only available on Google Cloud, like Google Maps geospatial data, Google Trends, and public datasets, to create unparalleled business context.
• Reinvent analytics: Move beyond dashboards and reports. Enable anyone in the organization to ask complex questions on Google Cloud of their business data in natural language and get immediate, intelligent answers.

Availability

Google Cloud will offer customer and partner incentives that fast-track the adoption of these joint solutions, enabling an accelerated journey to AI-infused data transformations.

麻豆原创 Business Data Cloud is available today in Google Cloud regions across Asia Pacific, Europe, and the U.S., with more regions planned. 麻豆原创 Business Data Cloud Connect for Google BigQuery is planned to be generally available in H1 2026.

In addition, 麻豆原创 BW, private cloud edition, which is offered through 麻豆原创 BDC, is supported in more than 40 Google Cloud regions, helping our customers meet critical data residency and compliance requirements.

A trusted data foundation is critical in the age of AI. But in a , 55 percent cited poor data quality as their biggest challenge. And nearly half struggle to harmonize data across multiple ecosystems.

offers organizations a fully managed SaaS solution that unifies and governs 麻豆原创 data while seamlessly connects with third-party data. This data platform gives organizations the tools they need to make even more impactful decisions and insights across all lines of business.

After only eight months in the market, leading analyst firms have given 麻豆原创 Business Data Cloud high marks for its analytics and BI solutions, primarily .

麻豆原创 recognized as a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment

IDC MarketScape provides in-depth quantitative and qualitative technology market assessments. The evaluation highlights the most influential factors for technology buyers that want to introduce, modernize, or replace business intelligence and analytics tools within their organization.

“Organizations are constantly striving to engage in data-driven decisions,” said Megha Kumar, research vice president, Analytics and AI, IDC. “This need for insights across the board puts pressure on data and analytics teams. This will result in organizations seeking capabilities around automation, GenAI, and agentic AI features within their business intelligence and analytics platform. It is also important that these insights are available in the flow of work to allow for improved collaboration and decision velocity.”

IDC MarketScape recognizes 麻豆原创 as a Leader for the following strengths:

• Focused on integrating data from 麻豆原创 and non-麻豆原创 sources and enabling customers to engage in analytics, planning, and AI in a single environment
• Solution designed to support both technical and nontechnical users, with self-service analytics, ad hoc data exploration, and embedded analytics experiences within business applications
• Features such as zero-copy data integration and focused on expanding the ecosystem beyond traditional 麻豆原创 data sources

Read an .

麻豆原创 named a Market Leader in BARC Score Enterprise BI & Analytics Platforms, 2025

The BARC Score report assesses solutions that fulfill a broad set of BI and analytics needs. BARC named 麻豆原创 a Market Leader, citing the following benefits:

• Integrated business-user-oriented solution for planning and analytics — with embedded functionality for augmented analytics and application design
• Smart features and natural language generation functions help users to dig deep into data sets quickly by surfacing trends and outliers automatically
• Exclusive connectivity, live access, embedded analytics, and prebuilt content available for 麻豆原创 sources and applications speed up implementation and help to gain insights from these systems
• Capabilities to govern master data and align KPIs across an organization
• Flexible options for product usage with multi-tenant or private tenant options for deployments in the public cloud on AWS, Azure, Alibaba, and GCP

Read .

This recognition from both the IDC MarketScape and BARC reinforces the pivotal role of 麻豆原创 Business Data Cloud in empowering organizations to become truly data-driven.

By providing a unified, intelligent, and scalable platform that fuels business AI, 麻豆原创 continues to set the standard for modern data and analytics, ensuring customers can derive trusted insights and drive decisive actions in an increasingly complex business landscape.

Dan Yu is chief marketing officer for 麻豆原创 Business Data Cloud at 麻豆原创.

In 2023, Google Cloud and 麻豆原创 established a strategic partnership, which continues to deliver significant value for enterprises seeking to maximize insights from their data. Building upon that foundation, the partnership is now evolving to focus on 麻豆原创 Business Data Cloud, a fully managed SaaS solution that unifies and governs all 麻豆原创 data and seamlessly connects with third-party data.

By connecting BigQuery, Google鈥檚 autonomous data to AI platform with agentic capabilities powered by Gemini, and , Google Cloud and 麻豆原创 aim to help enterprises of all sizes gain insights across their enterprise data landscape and unlock new generative AI capabilities.   

Strong analytics partnership foundation

麻豆原创 and Google Cloud have enabled integration between 麻豆原创 Datasphere and BigQuery, which remains a cornerstone of the evolution of the partnership with 麻豆原创 Business Data Cloud. The collaboration aims to help customers access BigQuery data in 麻豆原创 Business Data Cloud and vice versa. Expanding the two-way data federation capabilities first pioneered with 麻豆原创 Datasphere will enable customers to join diverse datasets and obtain deep comprehensive insights without building and managing complex ETL pipelines.

Our objective is to enable all enterprises to streamline data integration and data science, enhance their analytical workflows, and accelerate their transformation into an AI-driven enterprise. By using the combined strengths of Google Cloud and 麻豆原创, customers can gain faster, more accurate, and actionable insights, augmented by intelligent automation and novel content generation. 

Innovating with data unified across 麻豆原创 Business Data Cloud and BigQuery

A cornerstone of this collaboration is seamless connectivity between 麻豆原创 data solutions and Google Cloud鈥檚 powerful data platform. With the existing integration of 麻豆原创 Business Data Cloud and BigQuery, customers can facilitate business analysis across their entire data estates, providing enterprises the ability to unify 麻豆原创 and non-麻豆原创 data to create powerful insights and innovate faster with generative AI.

Key features include:

• Seamless data federation: Directly integrate enterprise data warehouse data in BigQuery with 麻豆原创 data in 麻豆原创 Datasphere. Federation from 麻豆原创 Datasphere to BigQuery is in preview, enabling similar integration into broader data strategies. 
• Efficient bi-directional replication: Smoothly replicate data between 麻豆原创 systems and BigQuery using replication flows from 麻豆原创, enhancing performance and mitigating query bottlenecks. 

麻豆原创 Business Data Cloud is planned to be available in three Google Cloud regions in Q2 2025, including India, Frankfurt, and Iowa, with more to follow over the coming year

Success stories: Realizing value today  

Joint Google Cloud and 麻豆原创 customers are already benefiting from the seamless integration between 麻豆原创 Datasphere and BigQuery.

Power International, a major consumer electronics company, leveraged the integrated solutions to help modernize its sales reporting process. Using 麻豆原创 Datasphere, BigQuery, and Dataform for sales pipeline automation, the company built a real-time sales reporting and analytical solution, which replaced static PDF reports. Power International now enjoys deeper, dynamic, and more actionable business insights, available on demand, which in turn drive improvements in sales performance. 

Driving future integration and innovation 

Building on the existing partnership between 麻豆原创 and Google Cloud and extending our collaboration in the context of 麻豆原创 Business Data Cloud will allow us to enrich analytics and AI capabilities for our joint customers. This approach will allow customers to tap into the comprehensive suite of 麻豆原创 data solutions and integrate with the extensive data sets in BigQuery whether they are private, shared, or public. 

Customers can also complement the AI capabilities available in 麻豆原创 Business Data Cloud with AI applications built on Google Cloud, powered by Google鈥檚 industry-leading Gemini model and third-party AI models available in Vertex AI. This initiative aims to provide pre-packaged, intelligent data products that accelerate time to value for common business scenarios, leveraging the strengths of both platforms. 

To learn more about the 麻豆原创 and Google Cloud partnership, visit booth 301 at 麻豆原创 Sapphire Orlando, taking place May 19-21, 2025.

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.
Andi Gutmans is vice president and general manager of Data Cloud at Google Cloud.

With even more investments being made in AI, it鈥檚 more important than ever for customers to have a solid data foundation.

That鈥檚 why in February of this year, 麻豆原创 introduced 麻豆原创 Business Data Cloud. This fully managed SaaS solution unifies and governs 麻豆原创 and third-party data, enhancing decision-making and AI value. Databricks is natively available in 麻豆原创 Business Data Cloud, which provides data and AI professionals access to industry-leading data engineering, AI, and machine learning capabilities within a single solution.

麻豆原创 Business Data Cloud momentum

Since the initial launch, we鈥檝e made progress to support customers and advance their business data fabric journey.

Several have already adopted 麻豆原创 Business Data Cloud and expect significant benefits. For example, Swedish steel distributor Tibnor is the first live 麻豆原创 Business Data Cloud customer and plans to integrate 麻豆原创 data with non-麻豆原创 sources so it can respond more quickly to changing market conditions.

Dag 脜selius, senior IT advisor and longtime former CIO at Tibnor, said: 鈥淲e鈥檝e always tried to stay ahead of the curve in our industry. 麻豆原创 Business Data Cloud opens new opportunities for integrating external data quickly — something we couldn鈥檛 even imagine just a few years ago.鈥�

This customer momentum builds on a successful pre-launch beta program. 麻豆原创 received positive feedback from those customers that saw benefits across the board, including a 20 to 50 percent improvement in data models. Moreover, the beta community agreed that 麻豆原创 Business Data Cloud will allow them to get greater value out of existing investments in 麻豆原创 Datasphere and Databricks.

麻豆原创 Business Data Cloud and Databricks momentum

麻豆原创 is bringing the power of Databricks into 麻豆原创 Business Data Cloud with 麻豆原创 Databricks, now generally available on Amazon Web Services. The allows us to serve the needs of a broader community of data and AI professionals and provides customers benefits:

• Simpler access to all data: Easily connect to contextual 麻豆原创 data using zero-copy Delta Sharing and blend with third-party data
• End-to-end AI and machine learning: Develop AI and machine learning models with end-to-end lifecycle management from data prep and experimentation to deployment
• Pro-code environment: Write Spark scripts, run SQL analysis, or create machine learning models in any notebook
• Trusted data foundation: Build intelligent insights on a unified and trusted data foundation that governs and protects data and AI assets

Together, 麻豆原创 Business AI and 麻豆原创 Databricks offer powerful, complementary AI and machine learning capabilities.

For example, 麻豆原创 Business AI allows customers to embed AI directly within their business processes. It also helps customers develop and expand AI models trained on their 麻豆原创 data and deploy them directly into business processes for closed-loop decision-making.

Additionally, 麻豆原创 Databricks provides a comprehensive workbench for data preparation and machine learning experimentation, as well as predictive, AI, and machine learning modeling. Customers can use 麻豆原创 Databricks to develop customized AI and machine learning models on harmonized 麻豆原创 and non-麻豆原创 data, tailored to their unique requirements.

Get started with 麻豆原创 Business Data Cloud

Today, 麻豆原创 is introducing a promotional offer to help customers get started. We will offer 麻豆原创 Databricks services at a discounted consumption rate for a limited time through April 30, 2026. This will accelerate 麻豆原创 Databricks workloads by allowing customers to consume more capacity at no additional cost.

Don鈥檛 miss 麻豆原创 Sapphire, to be held May 19-21, 2025, in Orlando, Florida. Register for .

For more about the latest 麻豆原创 Databricks news, .

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.