Manufacturing is undergoing major changes due to supply chain complexity, inflation, sustainability needs, and emerging technologies. To stay competitive, manufacturers must leverage IIoT, 5G, edge computing, digital twins, predictive maintenance, robotics, 3D printing, and blockchain. The hyper distributed cloud facilitates these innovations by enabling real-time data analytics and seamless integration.

Macrometa's hyper distributed cloud solutions for manufacturers bring together data silos to unlock real-time insights. With integrated data powering advanced analytics, manufacturers can optimize operations, reduce costs, and innovate faster. Learn more about these key benefits in the white paper:

Optimize efficiency via end-to-end visibility and real-time tracking

Enhance agility through data-driven production alignment

Improve quality control with instant insight into defects

Support sustainability goals by monitoring impact

Drive innovation with technologies like digital twins

Ensure security and compliance with real-time safeguards

Embracing the Future of Manufacturing with Digital Automation

Financial institutions face increasing risk of fraud, which costs billions of dollars every year. This white paper explains how real-time analytics can help detect and prevent fraud, and how Macrometa's hyper distributed cloud helps organizations minimize risk and maximize security.

One of the advantages of using Macrometa for fraud detection is the ability to process data where it’s generated, allowing financial institutions to respond to fraud in real-time. This hyper distributed cloud advantage can be particularly useful for financial institutions that operate in areas with limited connectivity or high network latency, where traditional cloud-based solutions may not be practical or effective.

Banks have always been a target of theft or fraud and online payments are particularly vulnerable to fraud due to unsecured networks, devices, applications or websites. Macrometa helps ensure online payments are sent quickly and securely. Read the white paper to learn more about:

Challenges faced by financial institutions in detecting and preventing fraud, including identifying false positives and dealing with high data volumes and complex fraud patterns.

The advantages of real-time fraud detection, including its ability to detect complex event patterns and isolate threats, resulting in security alerts that allow financial institutions to respond quickly to potential fraud.

Explanation of Macrometa's fraud detection solutions, including data manipulation functions, live streaming data monitoring, advanced algorithms, machine learning techniques, and knowledge graphs.

Overview of how MQTT (Message Queuing Telemetry Transport) can be used for secure P2P messaging for virtual payments.

Minimize Risk with Real-Time Fraud Detection and Secure Payments

In today's data-driven world, travel companies need to integrate and synchronize data from different systems, sources, and locations for real-time analytics and personalized experiences across all touchpoints. Macrometa's hyper-distributed cloud platform provides real-time data insights that enable travel entities to improve guest engagement and satisfaction, streamline the website journey, and meet global data privacy and compliance requirements. 

Read the white paper to see the latest trends in online travel and explore how Macrometa's solutions empower travel organizations to:

Collect and analyze data in real-time from various sources to create personalized experiences for your guests.

Improve guest engagement and satisfaction by using real-time data and low-latency digital services to gather information on guest preferences, behaviors, and needs.

Streamline the website journey for guests, from booking to check-out or departure, by leveraging real-time data and low-latency digital services to provide a more streamlined and personalized experience.

Meet global data privacy and compliance requirements by implementing technical and organizational measures to protect guest data from unauthorized access, theft, or disclosure.

Real-Time Travel Personalization - A World-Class Travel Experience 

As the hospitality industry evolves, it is crucial for businesses to embrace digital transformation and leverage the power of real-time data to meet evolving customer expectations and overcome challenges. With new consumer behaviors like 

 on the rise, and ongoing issues such as price increases and supply chain disruptions, technology advancements are key to propelling the industry forward.

In this transformative era, a hyper distributed cloud solution offers immense value to the hospitality sector. By providing enhanced relevancy, speed, and efficiency, it opens up new revenue opportunities. This whitepaper explores the real-time requirements of the industry and how leveraging data synchronization and analytics can optimize pricing strategies, personalize guest experiences, protect guest data, and improve operational efficiency. In this white paper, you'll learn about:

The journey to a data-driven guest experience

Going beyond points programs with personalization

Challenges with data integration - data everywhere but where you need it

Navigating global data privacy & compliance requirements

The future of hospitality: real-time personalization, data synchronization and protection for guest-centric experiences

Improve guest engagement and satisfaction with real-time offline personalization

Real-time front page: your guest’s ticket to paradise

Real-time data integration across hospitality systems and third party sources

Meeting data protection requirements for hospitality guests

Revolutionize Guest Experiences with Real-Time Data & Robust Super Apps

The success of game studios, developers, and publishers relies on effectively utilizing data to enhance gameplay and increase potential revenue. In addition to performance data, operational data such as player interactions, game session details, and virtual world information are crucial. Analyzing this data can lead to outcomes like increased revenue, player satisfaction, engagement, and a safe gaming environment.

The ability to process data in real-time is vital for maximizing returns on investment, and a centralized cloud model may struggle with the complexity and volume of operational data worldwide. Enter the Macrometa hyper distributed cloud solution for Gaming and eSports organizations that offers real-time data analysis at unprecedented scale. This white paper details why AAA gaming organizations can use live data to increase revenue, engagement, retention, and player safety.

Learn why the hyper distributed cloud is the clear winner when it comes to real-time data:

The challenges of the centralized cloud data warehouse

Why AAA game publishers need to explore and analyze operational data

The advantages of the hyper distributed over a centralized cloud

Benefits of the Macrometa game data warehouse solution

The Ultimate Game Data Warehouse

Today's logistics companies face challenges like post-pandemic issues, inflation, supply chain disruptions, and the need for sustainability. They are adapting to a changing landscape influenced by eCommerce giants, focusing on faster, efficient services with transparency and real-time tracking through technology integration and emerging technologies like IoT, autonomous vehicles, and 3D printing.

Discover the challenges faced by logistics companies and how Macrometa's hyper-distributed cloud solutions enable them to improve operations, deliver exceptional customer experiences, enhance data protection, and swiftly embrace new technologies, gaining a competitive edge in the industry. Read the white paper to learn how logistics company can:

Deliver the goods in real time - anywhere in the world

Be ready to transform for the future with next-gen automation alike drones or autonomous vehicles

Power data-driven logistics with AI, ML, and real-time collaboration

Execute seamless, real-time data integration for fast and efficient deliveries

Leverage 360° views of operations and aggregated insights

Process data closer to the source for millisecond response times related to traffic or weather changes

Revolutionize real-time deliveries with a Super App that can be customized to meet specific requirements

Transforming Deliveries in the Digital Age

The world is creating massive amounts of data every day, and organizations need to process, analyze, and act on data in real-time to understand the needs of their customers and identify future trends. 

Open source engines like Spark and Flink help enterprises develop streaming analytics, but today’s use cases could be better served with Complex Event Processing (CEP). 

In this webinar, we'll compare CEP and streaming analytics to help you determine which solution best matches your use case.

The difference between streaming analytics and CEP

How to get the most value from your data based on use case: Macrometa vs Spark and Flink

How Macrometa enables CEP for enterprise teams

Michael Ridley, formerly Cloudera and Senior Developer Advocate, Macrometa

After working in various development roles from data analytics to cloud computing, Michael has spent the last decade helping customers solve mission-critical problems with cloud and edge technologies. 

What’s Next After Streaming Analytics with Apache Spark and Apache Flink

Retailers need to provide a streamlined customer experience while also managing constant inventory changes, lowering fulfillment costs, and delivering orders on-time.

Real-time data helps retailers make better decisions and provide faster responses – but this can only happen when data is processed as close to the customer as possible. For omnichannel retailers with customers in-store and on-line, this can feel like an impossible task.

This is where the edge makes a difference.

How a real-time view optimizes retail inventory management to boost profits and customer satisfaction

How the edge can support the real-time logistics of inventory tracking from warehouses and hubs to the stores or home delivery

How Macrometa helps retailers enable geo-distribution and track merchandise accurately

Chief, Infrastructure, Cloud, Data Architect


Alan Evans, Principal Technologist, Macrometa (Former Role)

After working in various IT roles from Architect to Office of the CTO for nearly 25 years, Alan has spent the last five years helping consumer-driven businesses solve complex mission-critical problems and deliver on their core value proposition with edge technologies.

Jan Rishoi, Vice President of Sales, Americas, Macrometa

Jan has spent over 20 years helping retailers and other customer-focused enterprises accelerate business outcomes and rapidly scale with software, cloud, and edge technologies.

 Enabling Real-Time Inventory in eCommerce & Retail

How do you solve a trillion-dollar problem?

 due to bad data. This comes in many forms: hiring people to separately process and analyze data, increasing read and write costs to centralized clouds, among other reasons. 

Today's enterprise apps and cloud workloads are more "write intensive" and no longer ideal for centralized clouds. Durga Gokina, Macrometa co-founder and CTO, discusses how to reduce write costs with the right data models and platforms. In this whitepaper, you'll learn:

The four causes of latency and higher costs in modern cloud applications

How Macrometa's coordination-free architecture works

How multiple data models on a single copy of data reduce storage and processing costs

Solving the Trillion-Dollar Data Problem in Edge Computing

Today, traditional data architectures are challenged by the increasing generation of data - at the edge and across clouds and data centers. It is time for the new world of edge computing.

In this Intel and Macrometa white paper, we delve into the changing landscape from a slow big-data approach to fast-data, high-performance applications, highlighting the overwhelming need for edge computing and edge cloud solutions in modern applications. By exploring what sets the edge apart and the problems it addresses, we shed light on the challenges it presents.

Read the white paper to learn more about:

The Importance of Time-to-Actionable Insights

The State of the World and our Perception of Latency

The Macrometa Solution: Global Data Mesh, Edge Compute, and Data Protection

Modern Distributed Data Management Architecture

A data mesh approach can break down data silos, empower real-time decision-making, and help you deliver exceptional customer experiences. Read the Macrometa Global Data Mesh eBook, to learn how you can:

Bridge the gap between data teams and business users, enabling seamless collaboration and eliminating data disconnect.

Collect, process, and analyze relevant, timely data to make informed decisions and drive better outcomes.

Leverage real-time insights to engineer business success, monetize new opportunities, and stay ahead of the competition.

Benefit from a comprehensive data mesh architecture, integrating key features like a multi-model database, Search, Pub-Sub, and Change Data Capture.

Seamlessly integrate and synchronize data across multiple sources with data connectors for popular databases and cloud platforms.

Unlock the true value of your data investments and simplify complexity with Macrometa's Global Data Mesh. Join leading businesses across industries and experience the power of real-time insights to create new opportunities. Explore r

 or customized offerings featuring the Global Data Mesh to speed time to market and get the most out of your data.

Unleash the Power of Real-Time Insights with the Global Data Mesh

As Over the Top (OTT) video services continue to grow in popularity, so does the pressure to increase ad revenue. Macrometa's OTT Video Streaming solution can help you optimize online advertising delivery and provide dynamic, personalized experiences.

In this white paper, you’ll discover how how Macrometa’s real-time solutions help you stay ahead of the competition:

Hyper-targeted ad cohorts and dynamic ad matching to help you segment viewers into groups with shared characteristics, reach interested prospects, and generate more ad revenue.

Personalized entitlements to ensure that viewers receive a seamless and customized experience when using OTT video streaming services.

Hyper-scale serving to enable services to deliver content and ads to viewers from the closest available server, reducing latency and improving the overall viewing experience.

Data enrichment that incorporates new signals, features, and metadata about customers, enabling streaming services to enrich a cohort's data.

Next Generation OTT Video Streaming: Serve Ads to Millions of Viewers in Real-time 

Today’s cloud platforms and architectures are still heavily centralized and come with several drawbacks around latency, cost, and resilience. But what if we could process and analyze this operational data in real-time from anywhere in the world?

 is a Sanskrit term that refers to a written text or treatise related to philosophy or principles. These texts are considered authoritative sources of knowledge and expertise in their respective fields.

 is a technical exploration of the Global Data Network (GDN) and our core principles behind real-time data. The GDN empowers enterprise teams to create scalable, low-latency, and globally distributed applications that can process and analyze data in real-time. 

We're helping the world's biggest enterprises overcome the most challenging real-time data use cases.

How a hyper distributed cloud platform works

The architectural principles of the Macrometa GDN

How we achieve data replication and synchronization at scale

The key features of the Macrometa converged platform

This eBook, written by Macrometa CEO and co-founder Chetan Venkatesh, is a must-read for modern technologists that want to harness the power of real-time operational data.

The Shastra of Macrometa

The next step for global, data-driven enterprises is using distributed edge computing options rather than send data to the centralized cloud for analysis or storage.

The benefits of becoming a more data-driven enterprise include improved business processes, enhanced customer engagement, and improving employee productivity. However, challenges in integrating new infrastructure and processes with existing architectures often cause the need to reconcile data from disparate endpoints. 

The proliferation of data sources from IoT and edge infrastructure

How AI motivates more data usage and closer proximity to the user 

How centralized cloud can create data silos and migration challenges

How enterprises can employ edge solutions to convert data into better business outcomes

[451 Research] Data-Driven at the Edge: Unlocking Business Insights

How can you power applications at never-before-seen speeds if all the data requests need to go back and forth to the central cloud?

The answer - turn to the edge to cache data closer to where it originates and where it’s needed. 

Geo-distributed cache can support use cases like real-time, dynamic advertising, social media app chat, and live sentiment analysis to drive revenue opportunities.

At the edge, caching operates at memory speed while providing multi-model operation, geographic flexibility, and regulatory compliance. What makes Macrometa different is that we also offer global synchronization - with super fast access to cache anywhere in the world.

The use cases and differences between cache types including local, remote, distributed, and geo-replicated caches

The benefits of synchronized, replicated edge caching

How the Macrometa GDN enables in-memory cache, multi-model data stores, streaming, and more

Accelerating Applications with Geo-Distributed & Replicated Cache

What’s Next After Apache Spark and Apache Flink

Enabling Real-time Inventory Management

As retail battles inflation, supply chain disruptions, shrinking consumer spend, and new shopping behaviors, legacy data systems are losing ground and leaking profits.

What if retailers shifted from slow big data to live fast data to make more informed decisions in real-time?

With a real-time solution based on a hyper distributed cloud that is faster and more cost efficient, now they can.

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