Katana Graph is proud to announce: We’re Great Place to Work Certified! Ninety-eight percent of our employees at Katana Graph said this is a great place to work; for typical US companies the rate is fifty-nine percent. Ninety-six percent of our employees said they joined Katana Graph because they felt like they were warmly welcomed. Katana values the talent and energy of all its members.

Katana Graph’s unified intelligence platform is built from the ground up to drive innovation across a wide range of industries and use cases.

In part one of this topic, we looked at how network graph tools do more than just visualize data. How data is stored and represented is essential, as are the kinds of analysis available to different tools. In this post, we continue the discussion and describe the role that query languages, databases, and software licensing play in the network graph toolkit space.

One of the greatest obstacles to using data to solve problems is that 80% of the world’s data is unstructured. Businesses are struggling to use data to gain important and timely insights to solve pressing problems. But another equally paralyzing challenge is the congestion resulting from the sheer bulk of relevant business data. Katana Graph has a strategy and technology to help businesses with the daunting task of utilizing their data so that business can grow and produce.

The Katana Graph Intelligence Platform enables enterprises to accelerate data-driven business decisions from R&D to production with a flexible, scalable, easy-to-use platform. The Graph Intelligence Platform focuses on solving the three main pain points working with enterprise data: scale, performance, and ease of use. - Katana Graph.

Many people have heard about some of the more common - or at least most discussed in the early days - of graph technology, things like drug discovery and fraud detection. If I wanted to describe Katana Graph’s particular advantages to, say, a security knight interested in intrusion detection, where would I start?

A company’s attitude towards product development is as important as the company’s attitude about growth. There are plenty of technology companies that impose a process of perfection rather than one of iteration. The perfection mindset often creates a product having no path to innovation - that product is often one-and-done. A company’s approach to continuous improvement speaks to the company’s understanding of innovation.

The theoretical concept of networks is the basis of many modern approaches to analyzing data. At its most superficial level, network graph science represents a collection of concepts describing and analyzing entities and their relationships. A simple graph drawing is often used to introduce the idea of entities/nodes and their relationships/edges but is only the beginning. There are a variety of types of tools needed to have a complete network graph package.

By 2014 the Internet of Things had entered the mainstream via smart home and elder care applications. Medical devices introduced at CES made their way into the homes and the lives of consumers. Industrial and organizational applications followed. IoT consumer devices replaced single-function appliances like scales that provided some data but offered no real knowledge management. The adoption is so great that today estimates for active IoT devices range from 10 to 40 billion. (Jovanović.2021, Statistica, 2020).

At Katana Graph, we're building a graph computing platform and storage system that accelerates graph database, analytics, mining, and AI workloads and interoperates with industry-standard storage systems. Our technology sets a new bar as the world's fastest graph processing engine while providing compelling scalability and programmability advantages and low-latency data ingest and ingress.

Coronavirus created an unprecedented, world-wide health crisis, killing millions and causing widespread economic and social disruption. Scientific and medical communities including virologists, medical researchers, and pharmacists collaborated to develop a vaccine in record time. Incredible situation that needed an incredible response by the scientific and medical community.

Who says graph intelligence isn’t a creative pursuit? In fact, graph and high-performance computing can sometimes come together to inspire some fascinating, one-of-a-kind AI-driven art. Take two really interesting projects from different eras that incorporate knowledge graph.

Highlights from Jelani Harper's Inside BIGData, article: Knowledge Graphs 2.0: High Performance Computing Emerges. Featuring Keshav Pingali, CEO of Katana Graph.

Much ink has been spilled over the power of graph-database technology. But to make a truly significant and future-proof impact on your organization, find out how Katana Graph is ushering in an era where innovation in distributed computing compounds the speed and scalability of graph – delivering next-generation, ultra-high-performance graph analytics.