Artificial Intelligence (AI) and Big Data share a symbiotic relationship, with Big Data acting as the catalyst for the emulation of human problem-solving capabilities and the advancement of AI decision-making processes.

AI learns from data to make decisions, predictions, or recommendations based on the results of processing large volumes of data.

It encompasses a suite of computer algorithms specifically designed to extract knowledge from massive datasets, facilitating the generation of innovative ideas.

These algorithms are categorized into two groups:

• the AI Engine, which includes algorithms for Big Data formatting and processing (such as optimization, sorting, searching, filtering, grouping, deduplication, aggregation, analytics, and visualizations), and
• the AI decision manager, encompassing algorithms like machine learning, natural language processing, computer vision, deep learning, and high-value insight generation.

We are proud to introduce our pioneering achievement: the Megadata Web (MDW).

MDW technology is a revolutionary suite of JavaScript libraries for building Web-based data processing applications.


WYSIWYG Editor: The platform includes a powerful WYSIWYG (What You See Is What You Get) editor, simplifying the development process and enabling the creation of complex applications without extensive programming knowledge.

High Performance: MDW can process extremely large datasets far more efficiently than other existing solutions for Web. For example:

1. Alisa : A web application similar to Microsoft Excel Online and Google Sheets. Alisa can handle tables containing over 250 million cells, outperforming Google Sheets (max 10 million cells) Microsoft Excel Online (max 100MB size - equivalent to 15 million cells).
2. Anastasia : The world's most powerful Super Big Data Visualization, Aggregation, and Knowledge Harvesting processor. It can process CSV files up to 1200+ GB, 10+ billion rows, and 100,000,000,000+ (100+ billion) cells.
3. Alyona : The world's most powerful processor for big Variant Call Format (VCF) files used in bioinformatics. It can handle VCF files up to 1200+ GB, 10+ billion rows, and 100,000,000,000+ (100+ billion) cells.
4. Diana : A DNA Global Alignment Tool.
5. Anjela : A DNA Motif Finder.
6. Margo : A DNA Codon Usage Calculator.
7. GT Synthesis : A Logic Synthesis System.
8. GT Leads : A Lead Management System.
9. GT Contacts : A Contact Management System.
10. TomsJS Scheduler : A scheduling system.

Versatile Application Development: Using MDW, a wide range of applications has been developed, showcasing its versatility and power:

11. Additional Applications : Over 100 different applications across various domains, showcasing the versatility and robustness of MDW technology.

Unlike all existing Web data processing technologies, including Microsoft Excel Online and Google Sheets, MDW processes Big Data entirely offline, without any server support.

If existing AI engines are likened to internal combustion engines, then Megadata Web can be aptly described as a rocket engine.


To optimize data processing for AI applications, we have developed highly efficient data formats that dramatically reduce memory usage for storage and transmission.

MDW is poised to revolutionize and streamline the entire AI and web application development process, leading to substantial acceleration in development time and significant cost reductions.

Our advanced data processing algorithms, including sorting, searching, filtering, grouping, deduplication, and aggregation, can handle millions of records much faster than any other existing technologies.

Implemented using standard web technologies like JavaScript, HTML, and CSS, these innovative data formats and algorithms empower AI-driven Big Data processing on various devices, from servers to laptops, tablets, and mobile devices, significantly enhancing Web user decision-making and control, resolving server overload problems, and boosting the speed of data-driven Web applications.

MDW also revolutionizes AI processing by facilitating the distribution of computation from servers to Web client devices.

This approach

• enables server-accelerated parallel processing,
• reduces hardware resource requirements,
• enhances the scalability of Web-based AI applications,
• minimizes bandwidth demands and server connectivity dependencies,
• processes large data volumes offline on client devices, and
• enhances AI decision-making and knowledge generation.

MDW stands as a unique innovation in the current landscape. Discover how MDW can streamline data analysis, optimize AI decision-making processes, and help to deliver actionable insights.

Step into the future of AI by experiencing MDW today!

• User: The individual who uses the web application.
• Client: Part of the application program located in the browser on the user's computer. The client retrieves data for the user from the server, a computer that stores and processes this data.
• Bandwidth: The speed of data delivery in the network between the client and server.
• Offline data processing: The ability of the client to operate inside the browser without server support and even without an internet connection.
• Big data (or Megadata): A term used to describe an overwhelming amount of data, such as tables with millions of records. It's a popular phrase used in the U.S. for the past few years to describe this volume of data.
• Responsive design: A web application implementation that can run on both mobile devices and stationary web devices, such as regular computers.

Currently, many popular JavaScript libraries (frameworks) have been created to simplify and accelerate the development process of Web applications. However, these libraries were not designed to efficiently process big data. As a result, most web applications become slow, complex, and require continuous server support. Despite the availability of powerful, multi-processor computers for every web client, big data web business applications do not leverage these abundant resources due to four major limitations in popular web technologies:

• Slow delivery of large data volumes, which is particularly critical for devices with lower bandwidth.
• Performance limitations on the client side, as browsers can process less data and are slower than servers.
• Restrictions on user computer memory.
• Inability of the client to process data offline within the browser.

We've devised solutions to address all these challenges by decentralizing big data processing on the Web.

In essence, we've engineered an advanced client-side data processing engine for AI, prioritizing simplicity, usability, performance, and maximum functionality.

It solves common problems found in other solutions by:

• Using compact data to speed up delivery.
• Achieved quantum leap performance in data processing, capable of handling tables with up to 25,000,000,000+ (25+ billion) cells on the client.
• Using a smart data format to work around device memory limits.
• Allowing seamless data processing even when you're offline.

Our technology provides an AI business application with all the necessary features and intuitive controls for processing big data. It's customizable, straightforward, transparent, lightweight, and intuitive. For 'desktop' web users, we offer even more processing power, leveraging their computer's larger monitor, additional RAM, and faster processor.

While most AI business applications process big data on servers, we shift this workload to the client, rather than overburdening the server. This approach simplifies and accelerates the entire application, irrespective of the number of server processors available to users.

Our technology is compatible with all standard browsers (e.g., Chrome, Firefox, Edge, Safari, etc.) and can be seamlessly integrated into any existing web application.

It's fully implemented, debugged, and currently being installed across a variety of Internet client/server applications.

By eliminating navigation across multiple screens, Megadata Web significantly boosts the responsiveness of the application being used.

Our technology has dramatically increased the amount of data/information that can be delivered onto a single web page.

Through the use of our unique data-compacting methods, users will never again encounter the ubiquitous, unproductive query response: 'first 20 of 4,732 records' on their web browsers.

Megadata Web reduces redundant and unnecessary network traffic associated with current database querying methods by up to 98%. This translates into increased network capacity for future expansion and lower maintenance and MSP expenses.

• Logic Synthesis system - GT synthesis
• Lead Management - GT Leads
• Contact Management - GT Contacts
• Scheduling system - TomsJS Scheduler
• DNA Global Alignment Tool - Diana
• VCF File Viewer - Alyona
• DNA Motif Finder - Anjela
• Codon Usage Calculator - Margo
• Super Big Data Aggregation, Visualization, and Knowledge Harvesting - Anastasia
• Big Data Aggregation, Visualization, and Knowledge Harvesting - Alisa
• Additional Applications - Over 100 different applications

All AI web applications that process data can benefit from Megadata Web in multiple ways, including:

1. Significantly Greater Processing Speed
2. Ability to Process Large Volumes of Data
3. Off-line Data Processing Capability
4. Minimized Bandwidth Usage
5. Reduced Memory Requirements
6. Compact Data Formats
7. Advanced Data Processing Algorithms
8. Quantum Leap Screen Rendering Performance
9. Support of Responsive Design Objectives by Placing All Data and Controls “above the fold”
10. Advanced “toolkit” of Features:
• Navigation, scrolling
• Sorting, searching, filtering
• Totaling
• Reporting
• Exporting
• Linking, mapping, e-mailing
• Editing, replacing, adding, deleting
• Undo, start over
• Save, save all
• Drag & drop
• Cell & Table customization
• Hierarchical column grouping
• WYSIWYG Editor

Megadata Web is fully implemented, debugged, and currently undergoing testing across a variety of AI Internet client/server applications.

It is easy to implement:

• Compatible and interoperable with all standard browsers (e.g. Chrome, Firefox, Edge, Safari, Opera, Vivaldi, Internet, etc.)
• Integrates seamlessly with 3rd party server databases, middleware platforms, Operating Systems and technologies (e.g., .NET, PHP, Java, Node.js…).
• Requires no additional client-side software or plug-ins

Please watch demos of some products based on Megadata Web:

• Processing of 251,658,000 cells on Safari
• Processing of 5,000,000 records on Samsung
• Processing ag-Grid example on Phone Samsung (3,000,000 records), on Chrome (4,000,000 records), and on Safari (5,000,000 records).
• Advanced Computer Sale (Searching 1,000,000 record inventory)
• VCF File Viewer Alyona (Processing 72+ GB VCF file)
• Motif Finder Anjela (Serching 20 motifs - some of them represent up to 2^45 patterns - in chromosome #1 (234.3 MB).)
• DNA Codon Usage Calculator Margo (234.3 MB Fasta Secuence)
• "Wikipedia data table" (Processing of 8,007,840 records on MacBook Pro)
• "Wikipedia data table" (Processing of 8,007,840 records on phone)

• Features
• Demos
• Memorandum

• November 09, 2018: Megadata Web President and CTO George Toms on 7CTOs meeting in Las Vegas,
• February 24, 2017: Megadata Web makes quantum leap forward for fast and secure computer data processing and analysis. » Read more

• For Details and Licence please contact: 
• Phone:  USA: +1 (858) 699-8940
• E-mail:   n@megadataweb.com