Based on the Category Visionaries Podcast from Front Lines Media published March 24, 2023 (hosted by Brett Stapper, CEO of Front Lines Media), “

Chetan Venkatesh, CEO of Macrometa: $38 Million Raised to Build the Hyper Distributed Cloud for the Next Generation of Applications

Are you looking for insights into the world of data infrastructure? Do you want to hear about the latest real-time data trends and best practices? Then look no further than the Category Visionaries podcast with Chetan Venkatesh, CEO and Co-founder of Macrometa.

In this podcast, Chetan discusses how the Macrometa platform is changing the game by delivering data and events at lightning-fast speeds through the 

. He talks about the limitations of the current cloud-based architecture and why the demand for better data infrastructure will continue to increase. Chetan also shares insights on the organic development of Macrometa’s “category-creating” solution, and why he still believes in the potential of the Bay Area for tech startups. He concludes with key focus areas for Macrometa in the future including real-time data, scaling to 

Whether you're a data professional, a business leader, or just someone interested in the latest technology trends, this podcast is sure to provide valuable insights and thought-provoking discussion. So don't wait - tune in to the 

Category Visionaries podcast with Chetan Venkatesh

 today! If you would like to learn more about Macrometa, 

Category Visionaries Podcast - Hyper Distributed Cloud for the Next Generation of Applications

In today's data-driven world, seamless data connectivity is essential for businesses and organizations that want to harness the full potential of their data. Connectors play a pivotal role in enabling seamless data flow between various systems and databases.

In this blog post, we will explore Macrometa Connectors that allow you to extract and send data to and from existing collections in different databases and services. Whether you're working with BigQuery, MongoDB, OracleDB, PostgreSQL, or Snowflake, Macrometa Connectors have you covered. We'll go over each connector type and how to get started. But first let’s talk about how data works within the Global Data Mesh, a component of the Macrometa Global Data Network (GDN).

 is a hyper distributed cloud that has three components: 

. Macrometa takes a new approach to data by combining free-flowing data, analytics, and low latency for real-time insights.

The Global Data Mesh breaks down data silos to make information easily discoverable, accessible, secure, and usable anywhere. Connectors further simplify the data mesh approach, allowing companies to connect data from common databases and other sources. Edge Compute puts that data into action, and Data Protection offers data privacy and sovereignty.

 bridge your data across a variety of databases or Macrometa document collections. These connectors are designed to facilitate data extraction and data transfer, making it easier to work with your existing datasets.

empowers you to seamlessly interact with your BigQuery collections. You can effortlessly extract data from or send data to an existing BigQuery collection, streamlining your data workflows.

 allows you to work with data from any Macrometa document collection, regardless of its location within a 

 or even in a different tenant. This connector provides the flexibility you need to access and manage your data efficiently. You can send data to and from a Macrometa document collection.

, Macrometa offers a dedicated connector to extract data from or send data to your existing MongoDB collection. Seamlessly integrate your data for more comprehensive insights.

 simplifies data transfer from your OracleDB collection. Enjoy efficient data management with this connector.

, Macrometa's connector is here to assist. Extract data from or send data to your existing Postgres database with ease.

 users can take advantage of Macrometa's connector to extract data from or send data to their Snowflake collections. Ensure your data operations are seamless and efficient.

Macrometa Connectors are a valuable resource for simplifying data workflows and ensuring efficient data management. Macrometa customers can get started by contacting 

 to have it added to their tenant, since the feature is currently in beta.* Be sure to check out 

 for more information on the fields, functionality, and other options. If you need more information about Macrometa, please reach out to 

. We look forward to speaking with you!

*See 

Bridging Data With Macrometa’s Connectors

Edge Side Tag Management Series

Welcome back to our series on tag management! In our 

, we looked at traditional tag management approaches including their benefits and limitations. Now, we’ll explore edge side tag management - and how it aims to provide improved flexibility, speed, scale, and control.

In this post, we’ll examine the benefits of edge side tagging, including instant iteration, built-in redundancy, and enhanced performance. Let’s dive into the potential opportunities edge side tag management enables for digital teams and then cover Macrometa’s PhotonIQ solution.

Massive opportunity of edge side tag management

 - offers a vastly superior approach compared to browser-based and centralized server side models.

With edge side tag management, tags are executed within cloud functions distributed globally at the network edge: By running tags as close as possible to 

, edge side architecture provides unmatched benefits:

Tags can fire at the first network request before anything is sent to origin servers. You get full insight into the entire 

No more tag traffic needs to flow back to central servers. Pages load faster.

- Custom code can be executed at the edge to customize tag logic and capabilities.

 - Data stays within your controlled edge environment instead of leaking to external tags or central servers.

 Changes deploy at the edge in seconds without centralized release processes.

 - Stateless edge servers easily scale to handle spikes without provisioning delays.

- Edge networks provide native redundancy across data centers and regions.

For all these reasons, leading digital organizations are adopting edge side tag management to achieve new levels of flexibility, performance, scale, and cost efficiency.

Introducing PhotonIQ - edge side tag management from Macrometa

Macrometa provides a cloud native edge side tag management called PhotonIQ as part of their dynamic site performance acceleration suite built on its 

With PhotonIQ, tags execute within isolated secure edge functions distributed across 

 globally. This geo-distributed architecture brings tag management to the edge near end users.

 PhotonIQ executes tags in <50ms at the edge for real-time data flow.

 - Send tag data to tools like Google Analytics, Amplitude, Snowplow, Segment out-of-the-box.

 (streaming and complex event processing engine within Macrometa) with Javascript capability allows edge side tags to do things impossible in browser solutions.

- Deploy tags across global regions to keep traffic local and redundant.

 - View tag performance, traffic, errors, and more through PhotonIQ dashboards.

 Update tags and business logic in seconds without any backend deployments.

For digital teams, PhotonIQ provides an enterprise-grade edge side tag management system that's simple, flexible, and affordable. Organizations gain fine-grained control without the DevOps overhead.

Benefits of edge side tag management with PhotonIQ

Migrating to PhotonIQ edge side tag management creates tremendous business value including:

 - Capture every user action from the first network call for perfectly accurate 

 by 50% or more by eliminating excess tag requests and trips to central servers.

 - Roll out new tags, experiments, and experiences in seconds without engineering bottlenecks.

 - Gain visibility into tag performance, sequencing, and data to build organization-wide trust.

- Reduce developer time spent on tag management by 90% or more. Focus talent on innovation.

 - Keep data within your controlled edge environment to meet 

 - Scale to billions of tag executions per month without architecture limits or DevOps delays.

 - Distribute tags globally to cut latency and keep traffic within regions.

Tag management has evolved from early browser-based solutions to centralized servers and now next-generation edge side models like Macrometa's PhotonIQ.

For organizations where customer experience, developer productivity, and marketing agility are critical to growth, PhotonIQ 

By executing tags at the edge globally, PhotonIQ overcomes the constraints of legacy solutions to provide flexibility and scale not possible just 24 months ago. For digital teams racing to convert, engage, and retain users, PhotonIQ edge side tag management is the future. Learn more today by chatting with a 

Unlocking Speed With Edge Side Tag Management

Tag management is now essential infrastructure for digital analytics, marketing optimization, and personalization. However, legacy browser-based tag management has major limitations in flexibility, performance, accuracy, and control for websites.

​Tags like trackers can drastically reduce website speed, with a 

 showing a load time of 9.46 seconds with trackers, against just 2.69 seconds without, underscoring a balance between gaining insights and maintaining speed.

This blog examines the role and value of tag management, compares architectures and sets the stage for the transformative benefits edge side tagging delivers for modern digital enterprises.

Tags are snippets of tracking code used to collect data on visitor and customer actions on websites, apps and other digital touchpoints. Tags enable real-time data collection to understand digital experiences and optimize business outcomes.

Tag management systems (TMS) provide a way to deploy and manage tags used for tracking, 

, advertising, and more. With a TMS, tags can be managed from a central interface instead of hard-coding them on every page.

Tag management enables connecting insights across 

, audiences and systems to improve experiences end-to-end.

Key benefits of tag management include faster implementation, improved consistency, enhanced flexibility, lower risk, and optimized 

. With these advantages, the majority of large companies rely on tag management solutions to deliver high ROI.

However, traditional browser-based tag management (i.e., client-side tag management) has major limitations in today's business environment.

The high hidden costs of browser tag management

Since the early days of tag management, solutions have relied on a browser-based architecture. With this model, the TMS script is loaded in the header of web pages. This script asynchronously requests tags from a central server and loads them into the page after the initial HTML is parsed.

This offers obvious benefits over hard-coded tags. But there are also serious limitations including:

 -  Browser tags load late in the page request lifecycle, after the initial HTML is returned. This means key user actions like Initial 

 timing, time to first click, early page scrolling and engagement etc are missed. Without capturing these vital events, your analytics data will be incomplete and inaccurate. Critical parts of the user journey are lost.

 - While asynchronous browser tags seem "invisible", they still require additional HTTP requests and JavaScript execution that blocks other downloads and slows page rendering. This drag on performance hurts 

- External tag management systems have full access to fire tracking pixels and cookies on your site with little visibility or control from your end. This introduces security vulnerabilities and 

 - Although easier than hard-coded tags, deploying new tags in browser-based systems still often requires QA and troubleshooting support from your development teams. This bottleneck limits your ability to make rapid changes to support agile optimization and experimentation.

 - Browser tag management only allows packaged JavaScript tags. There's no ability to run custom code for advanced logic. This curtails innovation, such as creating enhanced tags with edge computing capabilities.

With the limitations of browser-based tagging exposed, many companies have explored centralized server side tag management solutions. With this model, tags are executed on a dedicated tag server, cloud-based TMS, or within backend application servers.

Tags can fire earlier before the HTML response is sent, improving data capture.

Tag management is controlled in your own infrastructure.

No frontend website changes are required.

However, centralized server side tagging has significant pitfalls:

- While tags fire earlier, you still have increased latency from the extra network hop to the central TMS server. 

 - Scaling requires procuring more centralized tag management infrastructure to handle traffic spikes. Costs grow rapidly.

 - New tags still need to be deployed on centralized servers. Agility is curtailed, especially for globally distributed teams.

 - A failure in the tagging server or zone can disrupt data collection across all traffic. Redundancy requires even more infrastructure.

In summary, centralized server side tagging improves data capture over browser-based solutions, but still falls short in achieving maximum performance, scalability, reliability, and deployment velocity.

 offers a superior model compared to browser and centralized server options. With edge side tagging, tag execution happens globally at the network edge near 

. This unlocks major advantages we’ll explore in Part 2 such as:

For organizations where customer experience and agility are critical, edge side tag management delivers the next evolution. In Part 2 of this series, we’ll do a deep dive into the benefits of edge side tagging and how it works.

The Evolution And Limitations of Tag Management - From Slow Pages To Fast Revenue

Macrometa is the hyper distributed cloud platform for enterprises building global applications at the Edge. 

PhotonIQ

Global Data Network

Blog

Learning Hub

Case Studies

Developer Hub

Demos

Support

About

Partners

Press

Careers

Contact Us

Terms of Service

Privacy Policy

Trust Center

Macrometa vs. Edgio

Are you an Edgio customer facing uncertainty? Discover how Macrometa ensures continuity and delivers high-performance solutions for your business.

Category Visionaries Podcast - Hyper Distributed Cloud for the Next Generation of Applications

Key highlights you don’t want to miss!

Check out the podcast today

Category Visionaries Podcast - Hyper Distributed Cloud for the Next Generation of Applications

Key highlights you don’t want to miss!

Check out the podcast today

Related Posts

Bridging Data With Macrometa’s Connectors

Unlocking Speed With Edge Side Tag Management

The Evolution And Limitations of Tag Management - From Slow Pages To Fast Revenue