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.
Post 1 of 3: Introduction
There are exciting developments in the world of graph computing. Katana Graph is taking the lead in graph intelligence to bring enterprise businesses an advantage by removing friction in scaling, performance, and use.
We will explain the benefits of the Katana Graph Intelligence Platform in terms of enterprise needs. Our explanation will be conveyed over three posts. Part one examines and describes the Katana Graph Intelligence Platform. Part two will reveal the Katana Graph Intelligence Platform Flow. Part three will describe the Katana Graph Engine, the need to solve today’s business problems, and how to deploy graph intelligence.
What is the Katana Graph Intelligence Platform?
Before we begin, let’s dive in deep to understand the general composition of a data platform and the use of a graph data platform in particular.
The term data platform generally refers to a software solution that aggregates data and allows it to be ingested, collected, transformed, analyzed, and delivered to users via a cloud-based hub, often incorporating data lakes and data warehouses. Ideally, a data platform is designed to process large data sets quickly for business intelligence needs. Before the emergence of data platforms, business intelligence platforms relied on a customized data repository that required constant modification as new needs evolved.
A Graph Data Platform (GDP) is a unified platform combining the capabilities of a data platform - including data lake, data warehouse, and a data hub - which structures the data within the platform as a graph. By data lake, we mean any large body of raw data having a variety of different purposes and structures. Likewise, a data warehouse describes a repository of structured and filtered data that has already been organized and grouped for a specific purpose. A graph data warehouse, then, is a data warehouse having a mutable structure in which nodes connected with relationships form a graph.
GDP solves the problems that were carried over from the relational database world to traditional data warehouses. One such problem is that the data structure, or schema, is static and must be planned out ahead of time with specific computation and access requirements in mind. It is important to make a distinction between GDP and traditional relational databases that require categories to be predetermined, yielding rigidly structured data. Restructuring data to accommodate a new attribute can introduce crippling delays when timely decisions need to be made.
Another problem with using traditional relational databases is that different areas of a large enterprise ecosystem require access to different parts of the data. So data can be prepared and modeled in one way for one use case, and in another way to support a different use case. And to support this, a number of layers of data management and orchestration tools and standards have emerged to solve this problem. However, in some sense, these solutions to the problem became their own tangled web.
A tangled web becomes very congested; uncurated and disorganized data creates a data swamp. This frustrates users who are trying to get business intelligence in a frictionless, timely manner, making them desperate for a clean solution. Preventing the data swamp usually requires disciplined metadata management, tagging, filtering, and sorting, along with organizing data into directories and subdirectories. The Katana Graph Data Platform solves the data “swamp” problem by articulating context on incoming data while still providing the opportunity to gather and catalog petabytes of data in a similarly cost-efficient compute and data storage segmentation system.
The Katana Graph Intelligence Platform combines graph analytics, elegant graph query capability, graph mining, and graph AI, forming a game-changing bond between graph technology and high-performance computing with unprecedented flexibility and scalability.
Part two of Katana Graph Intelligence Platform will discuss the Katana Graph flow.
