====================================================================== Product Name : TIBCO(R) Graph Database - Community Edition Release Version : 3.1.0 Release Date : December 2021 ====================================================================== Introduction TIBCO Graph Database allows users to leverage the “Power of Relationships” to solve connectivity and reachability problems at scale. To unveil the true value of constantly evolving business data, it is critical to connect and understand the relationships between data in a much more meaningful way. Unlike other databases, TIBCO Graph Database puts relationships at the forefront and utilizes Graph theory and Linear Algebra to traverse and more thoroughly understand complex webs of data. It allows users to discover, store and convert complex dynamic data into meaningful and understandable insights for the business. TIBCO Graph Database can be effectively leveraged for various use-cases including: Graph Traversals and Aggregation: Various use-cases in logistics, manufacturing, supply-chain, pharmaceuticals, and resource management require complex traversal and aggregation of datasets in near real time. Traditional relational databases cannot handle these types of queries, given the growing volumes and complexity. The TIBCO(R) Graph Database can be effectively leveraged to execute complex graph traversals and computations on modern CPU(s) to deliver linear performance at scale. Root Cause and Impact Analysis: Empower users to quickly identify the root cause behind business opportunities or threats by executing advanced analytical algorithms on knowledge graphs. Artificial Intelligence Data Store: AI knowledge is represented as a dense temporal network data set. The TIBCO(R) Graph Database enables users to utilize AI algorithms and models to effectively and efficiently ask the right set of questions of their data to discover additional insights. IoT Applications: Create digital twin representations or device virtual identities by efficiently representing and managing multiple profiles. Scale to support millions of IoT devices and their attributes (programmable and non-programmable) as knowledge graphs. ====================================================================== Supported Platforms Apple Mac OS X 10.14.x, 10.15.x, 10.16.x 64-bit on x86-64 CentOS 7.x, 8.x 64-bit on x86-64 Microsoft Windows 10 64-bit on x86-64 Microsoft Windows Server 2016, 2019, 2022 64-bit on x86-64 Red Hat Enterprise Linux Server 7.x, 8.x 64-bit on x86-64 ====================================================================== Supported Third-party Software Containerization Platform Docker 17.x Development Tool Sun Server Java Runtime Environment 1.8.x ====================================================================== Product-Specific Information Minimum Software Requirements: Server Side Architecture: Intel/AMD x86_64 Intel’s Haswell micro architecture. Support for AVX2 (Advance Vector Extension) FileSystem : General Block Device Windows: NTFS supported. ReFS not tested, but should work. Linux : EXT4, NFSV3+, XFS, BTRFS supported. VxFS, OCFS filesystem have not been tested, but should work. OSX : HFS+, APS, APFS, NFSV3+ supported. Database : Minimum 2GB Memory size : 2GB working memory. 1GB Shared Memory for Transaction Logs. Client Side JDK : 1.8+ Memory : 2GB Gremlin Query Language Tutorial for using Gremlin Language can be found here. https://kelvinlawrence.net/book/Gremlin-Graph-Guide.html Reference for Gremlin Language can be found here. http://tinkerpop.apache.org/docs/3.3.3/reference/ ====================================================================== Copyright (c) 2021. TIBCO Software Inc. All Rights Reserved.