We are pleased to announce that Gigasheet has been awarded a US Patent (US11356345B2) for our easy to use online big data spreadsheet. With years of experience in cybersecurity, Gigasheet's founders naturally focused on ways to improve the visualization of network data. And we are thankful that Gigasheet was born, because it's the easiest way to visualize big data sets!
What they didn't foresee was all of the different ways that Gigasheet would be used once it was released into the wild. Yes, we are looking at you! From telephone call logs to CRM data, to SKU libraries, it has all been loaded into Gigasheet and explored with our easy-to-use interface.
Over 30 Billion Rows Processed! And counting..
Once the data is loaded, sorting, filtering, and grouping are only a few clicks away, and no setup or coding is required. So, keep up the excellent work, “Sheetheads”.
Check out the press release below, or if you are really adventurous, go read the patent!
"It turns out that a lot of people are looking for easier ways to analyze big data, and it’s not just security analysts. We see users in all kinds of business areas, from sales and marketing data to data engineering."
Jason Hines
CEO & Co-Founder
Startup Gigasheet Awarded Patent for Big Data Analysis Spreadsheet
Gigasheet, a startup that is making big data analysis more accessible to business users, has been awarded a patent for its unique ability to organize massive data sets in a cloud-based spreadsheet. With Gigasheet, big data that typically requires a database can now be displayed in a familiar row-and-columns interface. The patent illustrates the technology's ability to help cybersecurity analysts identify anomalous events in network logs. In addition, the company has discovered thousands of users are applying the technology to solve a variety of other big data challenges.
In 2020, Gigasheet’s founders began developing a novel technology to help security analysts easily investigate massive data sets. Data storage costs have plummeted in recent years, so devices on computer networks are logging nearly every click and digital transaction, creating massive repositories of digital information that can prove invaluable in a cybersecurity investigation. As teams respond to a security incident, they sift through these troves of data, looking for patterns and snippets that hold information relevant to the investigation. Gigasheet’s patented approach infers the schema of the data and visually organizes it in a spreadsheet-like interface, allowing for quicker investigation and analysis.
Many security-specific features are underlying in Gigasheet's product. Data types such as URLs and IP addresses are understood by the platform to assist with network communication pattern analysis. The technology infers data structures and normalizes data from a wide variety of different file types, from large Excel files to more complex JavaScript Object Notation (JSON) files found in many modern applications. With the data Gigasheet's parsing produces normalized data, and security analysts can then employ filters, groups, and aggregations to create complex queries required to respond to incidents.
Beyond Cybersecurity, Gigasheet Brings Big Data Analysis to Multiple Industries
Although the patented technology was initially developed for cybersecurity investigators, Gigasheet co-founder and CEO Jason Hines says the application has been gaining traction in unexpected ways. “Shortly after our initial launch, we saw hundreds of people were using Gigasheet for analysis beyond cybersecurity. It turns out that a lot of people are looking for easier ways to analyze big data, and it’s not just security analysts. We see users in all kinds of business areas, from sales and marketing data to data engineering.”
When faced with analyzing a large data set, most people turn to the familiar spreadsheet. Numerous options exist, including old stalwarts like Microsoft Excel and newer players like Google Sheets or Smartsheet. According to Hines, Microsoft Excel has an estimated 750 million users worldwide, but these tools cannot handle multi-million row data sets commonly found in modern organizations. This leads users to clunky or unreliable workarounds, but more often than not they find themselves without a workable solution.
Without Gigasheet, such analytic challenges require an entire data stack, complete with a database back-end, an extraction and transformation layer, and a set of visualization and reporting tools. These platforms require setup and ongoing maintenance by skilled data engineers. Business users at organizations are required to submit requests to enterprise data teams and are often disappointed with the returned results when the data is not exactly what they expected or requested. Rather than self-service analysis done at the speed of thought, this process involves bureaucracy, waiting in line, or in some cases just giving up altogether.
Gigasheet puts the power of a database into the hands of anyone with the ability to use a spreadsheet. From analyzing search engine optimization data to sifting through large lists of prospective customers, users are turning to Gigasheet to work with big data. Data can even be imported directly to a spreadsheet from popular online platforms like Salesforce or Snowflake. Part of what makes Gigasheet unique is its ability to handle huge volumes of data in minutes by dragging and dropping a file, or connecting to a cloud-based platform.
While Gigasheet’s patent invention relates to network security, it has just begun to solve broader problems for a variety of segments within big data analytics and data processing. Gigasheet helps people get answers from big data without requiring significant engineering effort. What started as a narrow cybersecurity solution has now transformed a broader big data opportunity
Gigasheet is a cloud-based big data spreadsheet that helps organizations investigate massive data sets without needing a database, programming knowledge, or any IT support. While users interact with what looks like a simple spreadsheet, a powerful database running behind the scenes allows users to analyze and manipulate up to a billion rows of data.
The ease of a spreadsheet with the power of a data warehouse.
