Best Data Management Software for eQube®-DaaS

IBM® Engineering Systems Design Rhapsody (Rational Rhapsody), and its family of products, offer a proven solution to modeling and system design activities. This allows you to manage the complexity that many organizations face when it comes product and system development. Rhapsody is part the IBM Engineering portfolio. It provides a collaborative design environment and test environment for system engineers. It supports UML and SysML as well as UAF and AUTOSAR. This solution allows for the control of defense frameworks (DoDAF/ModAF, UPDM), and speeds up industry standards like ISO 26262, DO-178B/C, and DO-178B/C. Continuous validation is possible through rapid prototyping, simulation, and execution. This allows you to correct errors sooner than they become costly. Automated consistency checking can improve agility and collaboration to reduce both recurring as well as non-recurring costs.

Apache Hive™, a data warehouse software, facilitates the reading, writing and management of large datasets that are stored in distributed storage using SQL. Structure can be projected onto existing data. Hive provides a command line tool and a JDBC driver to allow users to connect to it. Apache Hive is an Apache Software Foundation open-source project. It was previously a subproject to Apache® Hadoop®, but it has now become a top-level project. We encourage you to read about the project and share your knowledge. To execute traditional SQL queries, you must use the MapReduce Java API. Hive provides the SQL abstraction needed to integrate SQL-like query (HiveQL), into the underlying Java. This is in addition to the Java API that implements queries.

NoSQL, a domain-specific programming language, is used to access, manage, and manipulate non-tabular database data.

SAP S/4HANA Intelligent ERP system for today's business. A modern ERP system with embedded AI/machine learning that is available on-premise, in the public or private clouds, or in a hybrid setting. SAP S/4HANA, an enterprise resource planning (ERP), system that is future-ready, includes intelligent technologies such as machine learning and AI. It transforms business processes using intelligent automation. It runs on SAP HANA, a market-leading in memory database that offers real time processing speeds and a simplified data model. You can choose from a variety of SAP S/4HANA ERP capabilities that all leverage the latest technologies, intelligent automation, and transform your business processes. Capabilities can be used across all business lines, including finance, supply chain and manufacturing, sales, distribution, and many more.

Oracle database products offer customers cost-optimized, high-performance versions Oracle Database, the world's most popular converged, multi-model database management software. They also include in-memory NoSQL and MySQL databases. Oracle Autonomous Database is available on-premises via Oracle Cloud@Customer and in the Oracle Cloud Infrastructure. It allows customers to simplify relational databases environments and reduce management burdens. Oracle Autonomous Database reduces the complexity of operating and protecting Oracle Database, while delivering the highest levels performance, scalability and availability to customers. Oracle Database can also be deployed on-premises if customers have network latency and data residency concerns. Customers who depend on Oracle database versions for their applications have full control over which versions they use and when they change.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.