Equinix Launches Purpose-Built IBX Data Center in Mumbai to Accelerate India’s AI and Cloud Growth


Expansion reinforces Mumbai’s emergence as India’s most interconnected digital hub for enterprises, network and cloud providers

MUMBAI, India, April 9, 2026 – Equinix, the world’s digital infrastructure company®, today announced the opening of its fourth International Business Exchange™ (IBX®) data center in Mumbai, MB3. As one of the largest retail data centers in Mumbai, MB3 is designed to support high-performance workloads and hybrid multicloud deployments with liquid cooling capability for enterprises across India. The launch comes at a time when AI adoption, cloud migration, data localization requirements, and the rapid expansion of digital services are significantly increasing demand for secure, high-density, and globally interconnected infrastructure in India.

With an initial investment of over USD 95 million, MB3 provides more than 1,370 cabinets of capacity, with the facility designed to scale to more than 5,475 cabinets when fully built out. The data center is engineered to deliver high-performance, resilient digital infrastructure, enabling enterprises to interconnect with leading cloud service providers, networks, and partners while scaling digital services securely and efficiently. Its scalable, high-density, and energy-efficient design supports AI and machine learning workloads, data-intensive applications, and next-generation digital services.

The launch of MB3 aligns with a pivotal moment for India’s digital economy, which is on track to reach USD 1 trillion by 2027–2028, propelled by the rapid expansion of digital services and DPI platforms such as Aadhaar, UPI, and ONDC. As AI shifts from pilots to real-world inferencing at scale, enterprises face intensifying challenges around data gravity, latency, power density, and the imperative to keep sensitive data within secure, compliant local environments. Addressing these demands requires infrastructure that is not only high-density and AI-ready, but deeply interconnected and provides sovereignty safeguards. With private interconnection through Equinix Fabric®, direct cloud on-ramps and a network-dense campus at the heart of Mumbai, MB3 enables enterprises to deploy AI closer to data, clouds, and users, while maintaining performance, data residency compliance, and the global reach needed to innovate and compete internationally.

Shri Devendra Fadnavis, Hon’ble Chief Minister of Maharashtra, said, “We are pleased to welcome Equinix, a global leader, on the launch of its first self-built data center in Mumbai. With Maharashtra hosting nearly 60% of India’s data center capacity, the addition of the AI ready MB3 data center, along with Equinix’s solar plant in Yavatmal, further strengthens Mumbai’s position as the country’s premier digital hub. These investments reflect strong confidence in Maharashtra’s pro‑investment policies and focus on sustainable, next‑generation infrastructure. We look forward to expanding our partnership with Equinix.”

With a cumulative investment of over USD 365 million across India, Equinix has made one of its largest sustained commitments to digital infrastructure in India, reflecting long-term confidence in the country’s digital growth trajectory. Across its Mumbai and Chennai campuses, connected via dedicated dark fiber, Equinix currently provides a combined capacity of more than 4,725 cabinets, enabling national-level redundancy and regional traffic optimization.

Equinix is home to more than 300 companies in India, including network service providers, five internet exchanges and enterprises across industries. Its Mumbai campus — MB1, MB2 and MB4 — hosts a robust cloud ecosystem for customers in India, including native on-ramps to leading cloud service providers such as Alibaba Cloud, AWS, Google Cloud, IBM Cloud, Oracle Cloud, SFDC, and more. MB3 is interconnected with Equinix’s existing Mumbai campus and its newly launched data center in Chennai, CN1, giving customers seamless access to a broader digital ecosystem across India. Through Equinix Fabric, a secure software defined interconnection service, customers can dynamically connect to multiple clouds, partners and providers on demand, enabling agile hybrid multicloud deployments. Together, these capabilities allow enterprises to scale digital infrastructure seamlessly across India while accelerating digital transformation with secure and low latency connectivity.

Anil Kumar Nair, Head of IT Infrastructure & Cyber Security, Kotak Securities, said, “India’s financial markets are moving faster than ever, and our infrastructure needs to keep pace. Low-latency connectivity, data sovereignty, and operational resilience are non-negotiable for us. Equinix’s MB3 strengthens a campus we already trust, and gives us the density, interconnection and cloud adjacency to support our next phase of AI-driven innovation, whether that’s real-time analytics, algorithmic trading infrastructure or next-generation client experiences.”

Cyrus Adaggra, President, Asia-Pacific, Equinix, said, “India continues to play a pivotal role in shaping Asia‑Pacific’s digital future, and the opening of MB3 strengthens our ability to support customers as they navigate new growth driven by cloud adoption, AI innovation and increasing interconnection needs. With this expansion, organizations can now tap into greater capacity and a globally consistent platform, helping them accelerate transformation and unlock the full potential of India’s fast‑growing digital ecosystem. Equinix remains firmly committed to investing in India and building the infrastructure that empowers our customers to thrive.”

Manoj Paul, Managing Director, India, Equinix, said, “India is at a pivotal stage in its digital transformation, with growing AI and cloud adoption and stricter data localization requirement that are shaping the next phase of economic growth. The Union Budget 2026 proposals, including a tax holiday for global cloud providers leveraging India-based data center infrastructure and the introduction of safe harbor provisions, are viewed as strong policy enablers that reinforce the country’s position as a trusted global digital hub. As enterprises embrace hybrid multicloud and prepare for AI inferencing at scale, seamless interconnection between businesses, network service providers and hyperscalers becomes essential. The launch of MB3 comes at exactly the right time, providing the ecosystems, interconnection density and scalable capacity needed to power India’s next wave of digital expansion.”

MB3 achieves 100% renewables coverage and aligns with the company’s goal of achieving 100% renewables coverage across its global operations by 2030. Equinix has further reinforced its commitment to sustainability with its recent commissioning of a 26.4 MWp group captive solar project in India under a long-term renewable energy agreement with CleanMax. The project is expected to generate approximately 41.4 million kWh of clean energy annually, reducing over 30,000 tonnes of carbon emissions each year.

Globally, Equinix operates 280 data centers across 77 markets in 36 countries, serving over 10,500 leading businesses and enabling their digital transformation. In the Asia-Pacific region, Equinix’s portfolio includes 64 data centers across key metros in Australia, China*, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Philippines and Singapore, providing interconnection and digital infrastructure solutions to support the region’s dynamic economies.

*Equinix operates five data centers in Shanghai through a strategic partnership

Highlights / Key Facts:

  • Located in Chandivali, Powai (Central Mumbai), MB3 is a five-story building and spreads over nearly 4 acres of land.
  • MB3 is adjacent to MB2 and just 1.5 km from MB1, forming an interconnected campus environment linked through physically diverse dark fiber networks.

Supporting Resources:

  • India’s Digital Gateway: Mumbai Gears Up to Meet Growing AI Demand (Blog)

Photo Caption: Equinix launches MB3 with Chief Minister of Maharashtra Hon. Shri Devendra Fadnavis (Left to Right – Elizabeth Hernandez, APAC Public Policy Leader, Equinix, Max Perry, Vice President, Growth & Emerging Markets, APAC, Equinix, Manoj Paul, Managing Director, Equinix India, Cyrus Adaggra, President, APAC, Hon. Devendra Fadnavis, Chief Minister of Maharashtra, Lokesh Chandra, Managing director of the Maharashtra State Electricity Distribution Company Limited, P. Anbalagan, Managing director of the Maharashtra State Power Generation Company, Shri Kaustubh Dhavse, Chief Advisor to the CM, and Ganesh Pawar, Senior Director- Data Center Operations critical Facilities, Project Management, Customer Operations, Admin, Security, Safety, Compliance, Procurement at Equinix India.)

About Equinix

Equinix, Inc. (Nasdaq: EQIX) shortens the path to boundless connectivity anywhere in the world. Its digital infrastructure, data center footprint and interconnected ecosystems empower innovations that enhance our work, life and planet. Equinix connects economies, countries, organizations and communities, delivering seamless digital experiences and cutting-edge AI—quickly, efficiently and everywhere.





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What is Power BI?

Power BI is one of the popular business intelligence tools developed by Microsoft Corporation to offer various data modeling capabilities like data preparations, data visualizations, data discovery, and generating interactive data analytic dashboards. With the help of Power BI users can make powerful business-related decisions. This Power BI tool helps users to pull the data using various formats such as images, excel sheets, spreadsheets, and videos. The Power BI tool also helps to centralize the database management system, and you can also visualize the data model on it.

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What is Google data studio?

Google data studio is an easy-to-use tool that is used to create a beautiful data visualization within a minute. This is a cloud-based application that can be run on the various top web browsers like chrome, safari, and firefox. This type of tool is able to deliver stunning, and insightful reports without much action from the user. Google data studio also comes up with a free-to-use license for personal or commercial use. With the help of Google data studio dashboard, you can access various types of charts such as charts, bars, pie, lines, Areas, scatter, etc, and this also adds up value to the data reports.

Comparison of Power BI and Google data studio:

Here we are going to explain the major comparison between power BI and Google data studio based on a few functionalities. Let’s start it;

Installation:

Power BI tool has a number of ways to install or configure it, and it all depends on the license. The basic, and very best way to install Power BI as a desktop application on your desktop. Power BI application is quick and straightforward so all you need is just a modern PC with 4GB of RAM (ideally 8GB of RAM) and running windows 8 operating system version or later. Power BI is a Microsoft product, and it is not available for MAC operating systems. 

Google data studio is completely web-based, so you do not need to install it on your computer/pc. Directly you can access them by logging into the Google page like other Google products. 

Data source:

Power BI consists of various pre-built connectors, and they enable you to connect to a wide variety and ever-expanding data sources. PowerBI’s web connectors help you to import data from almost any data source that includes Amazon, Google, and other Microsoft competitors.

Whereas Google data Studio data connectors are much smaller and offer only 18 connectors that are built by Google. inc itself. There are also 400+ connectors built by Data studio partners. These types of connectors you get to see only for advertising, media, and content-related websites.

Data transformation:

Power BI offers a full range of data transformations by using a power Query engine. Power Query lets you perform ETL (Extract, transfer, and loading) operations on the data which you have and prepare it for visualization. Users can also make use of data analysis expression (DAX) to build formulas and expressions. Power BI has a lot of capabilities to perform data transmission operations. 

Whereas Google data studio lags behind this feature. In Google data studio, the only way to perform data transformation is by using JOIN keys. So by default google assumes that you already have clean data for the visualization.

Ease of use:

If you are familiar with MS Excel, then Power BI would be a great choice.  But to access power BI, some sort of struggle is required to connect and integrate with different data sources. Power BI has also offered better functionalities than the Google data studio and also helps you with a drag-and-drop feature. 

Whereas Google data studio is very easy to navigate and the learning curve is minimal. The user interface of this platform is extremely intuitive as long as you have clean datasets. Only one thing you need to concentrate on is a drag-and-drop feature that helps you to create quick reports.

Sharing:

In Power BI report sharing is a complex task that is compared to the Google data studio. The biggest concern is that it is impossible to share a report directly from the desktop applications. Every time you need to publish the reports in the Power BI services. However mobile applications let you share a dashboard or report directly from the application.

In power BI you can share your reports and dashboards with internal and external collaborators. 

On the other hand, sharing data with google data studio is an easier task. With the help of email or links, you can share the reports in the Google data studio. In google, the recipients dont need to pay any subscription fees because Google offers a free google data studio tool.

Mobile compatibility:

Power BI consists of the native applications for Android, Windows, and IOS smartphones. In Power BI smart mobile application, you can perform the below vital tasks:

  • Visualizing data reports
  • Filtering of the data from a report.
  • Adding notes to the reports.
  • Getting a notification and setting alerts.
  • Exploring on-premise data reports.

Whereas Google data studio does not have a mobile application version so that users can visualize the data reports using the mobile browser, editing the report could be a challenging task. 

Community and online resources:

We already know that Microsoft Power BI has a huge knowledge base community to learn and resolve the issues about the platform usage. When you login into the communities, you will get to see a lot of content which are related to the platform guide. For example, themes gallery, custom visual studios, data stories gallery, developer, etc.

Similarly, Google data studio also has robust communities. Here the community gallery section of this tool gives you access to various third-party visualization widgets. 

Cost:

Power BI desktop is free but can be accessed only by beginners who want to know the basic things about the tool. For the business purpose, you need to share a desktop, and the cost it will going to charge is $9.99 per user/per month (premium subscription). Power BI Pro is a cloud-based application that can be used for collaboration, sharing, publishing, etc. If you are an expert, and you want power BI for both the on-premise and cloud-based reporting, support for big data and analytics, dedicated cloud computes, and storage resources you can opt for Power BI premium at $4995/year. 

Whereas the Google data studio is free to use application. And all you need is just a Google account.

Functionalities:

Power BI tool is available for both beginners and advanced level experts due to its tons of data manipulation features. It also helps you to access data through the data visualization elements like charts, bars, tables, graphs, etc. one more functionality of the Power BI is, the tool gets refreshed itself  8 times a day.

Whereas Google data studio comes up with fewer features when compared to the Google data studio as it is only a data visualization application. However, its in-memory BI engine is a powerful feature that helps users to eliminate the data visualization lags, especially used for the larger number of data sets. The Google data studio application gets refreshed itself every 12 hours.

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Pros and Cons of the Power BI:

First, let’s start with the Power BI:

Advantages of the Power BI:

Below are the primary advantages of the Power BI:

Offers easy data exploration and data visualization:
This is the world of data exploding, this tool offers the ability to explore valuable data and also perform data visualization tasks to get greater results. When compared with other business intelligence tools, I think this is an awesome tool in the data visualization process.

Acts as a managed self-service Business intelligence tool:
This Microsoft business intelligence tool provides an effective self-service business intelligence tool. The MSBI also acts as a Microsoft Excel that is used by everyone in their day-to-day activities to produce and report the data analytics.

This tool makes use of Native MS excel features:
The MSBI tool makes use of Microsoft Excel features to the core in order to produce effective data analysis. By using excel Microsoft excel features it’s very easy to collect data from multiple data sources.

MSBI tool supports Web service applications:
MSBI tool works well with programming languages like .NET and SQL database servers to build an effective web service application and also offers abundant benefits to the clients.

End-to-end Business solutions:
MSBI provides you with a great business solution for your organization and enables users to make effective business decisions. This tool offers entire top-to-bottom business solutions.

Data warehouse applications:
Business intelligence tools offer greater data analytical solutions. You can collect the data warehouse from various sources. This type of warehousing is more suitable to extract the information to carry out the data analytical task effectively.

Limitations of the Microsoft Power BI:

Below are the few drawbacks of the Microsoft Power BI:

  • This tool is very difficult to implement. You need to loop them in the development team, the IT team to get it executed.
  • To implement row-level security in Power BI and tie your web application users with Power BI users.
  • With users coming and leaving an organization, it becomes a nightmare to manage.
  • Requires considerable investment.
  • You need to buy a premium capacity.
  • Not feasible for pro users.
  • Still users need to visit your web page and the information is not delivered to them.

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Advantages of the Google data studio:

Below are the few benefits of the Google data studio;

It’s a free tool to use:
If you have a Google account, then it’s free to access the tool.

Offers customized report dashboard:
 Google data studio tool allows users to customize the report dashboards with a wide range of text formatting options available such as designs, Styles, graphs, and text headers. If you have new raw data, that will be customized on the dashboard based on your requirement with the help of this pre-built text formatting feature.

Here are some of the things you can format the data:

  • Page layout
  • Text formats 
  • Graphs 
  • Metrics
  • Style element

Offers modern and interactive data visualization:

In Google data studio with the help of a few clicks, you can easily create an engaging and visually appealing dashboard that will attract your audience for sure.

Automated report sharing dashboards:
Google data studio allows you to build an automated report sharing dashboard with the help of real-time data, this process saves your time while reporting.

Offers shareable dashboards:
Google data studio offers a sharing dashboard with the users for multiple tasks. This feature also helps you to communicate among peers and business partners.

You can share the report with the help of these things:

  • Link sharing 
  • Email permissions.
  • Schedules email deliveries.

Limitations of the Google data studio:

Here are the few drawbacks of the Google data studio:

  • Lack of real-time updates with respect to the dashboard.
  • Slow speed in case of live connections.
  • There is no on-premise deployment option available.
  • Lack of native data connectors availability.
  • A limited number of charts per dashboard report
  • Limited interaction with the elements.

Which is the best tool between Power BI and Google data studio?

Here we come to the conclusion part of the article, you can make use of Google data studio sources such as Google data analytics with the data that is readily usable, no need for sharing any complex information. Google data studio tool is a good fit for quick reporting. Most importantly it is a free tool to use unless you need some data connectors.

On the other hand, we have Power BI, this tool is used if you have a wide variety of data transformation options, all you need is a BI tool that has advanced features like greater data transformation capabilities, customization options, and if you don’t mind in paying. Power BI is a powerful robust data visualization and analytical tool, it requires some sort of excel knowledge to perform Power BI dashboards.

You can choose the tool as per your requirements, and data connectivity sources.

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Final thought:

We tried to clear all our audiences’ doubts regarding choosing the best tool between Google data studio and power BI. Both the tools are scalable and robust to use and configure. In this Power BI VS google data studio post, we have mentioned major differences based on the different categories, pros, and cons of the tools.

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