Compare Dimodelo vs. SAP BW/4HANA

Automate data modeling and code generation with AnalyticsCreator. Transform ETL automation, data warehouse optimization, and analytics pipeline development by automating the creation of dimensional models, data marts, and data vault architectures. Seamlessly integrate with platforms like MS Fabric, PowerBI, and Snowflake. Key features include automated documentation, lineage tracking, schema evolution, and data quality testing frameworks. AnalyticsCreator reduces development time by 80% by automating repetitive tasks. It supports modern data engineering workflows, including CI/CD and agile methodologies. Key differentiators are metadata management automation, intelligent schema handling, version control integration, and automated testing frameworks that ensure robust data quality and governance. AnalyticsCreator enables rapid development and deployment of analytics solutions while maintaining high standards of quality and efficiency. Its comprehensive approach to data pipeline automation makes it an essential tool for organizations aiming to streamline their analytics processes and achieve faster, more reliable results.

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Modius offers solutions to manage the availability, capacity, efficiency, and availability of critical facilities. OpenData, our flagship product, includes all the tools, including DCIM, needed to manage mission-critical infrastructure performance, which includes seamless integration with disparate devices. OpenData integrates analytics, dashboards and graphical views into a single pane of glass. Modius collaborated with the ESTCP to demonstrate a Middleware solution that makes it easier to use utility and facility data to improve facility management, operation, maintenance, and operations.

In today's cloud-enabled world, legacy network architectures don't work. Traditional hub-and-spoke architectures that have different security and network stacks are not scalable for hybrid work or cloud. Security gaps with inconsistent policies and capabilities that depend on the user's location can lead to data breaches. Backhauling traffic to a data centre for security policy enforcement causes latency and a poor user experience. Prisma SASE ensures that all apps used by your hybrid workforce are protected, no matter where they are located: at home, at work, or on the move. ZTNA 2.0 protects all applications with best-in class capabilities. It also secures access and data to drastically reduce the risk of a breach. Prisma SASE streamlines operations by combining best-of-breed security and networking into one service. Unified management and a shared database lake facilitate team collaboration and streamline operations.

ShipHero makes it easy to ship eCommerce with our powerful Warehouse Management Software. Our cloud-based WMS is perfect for emerging, scaling and high volume brands and 3PLs. ShipHero can push your eCommerce business forward with the technology and processes you need to run a successful warehouse. We Crush it for for eCommerce Brands and 3PLs - Reduce mis-picks and mis-ships by over 99% - Reduce warehouse costs by up to 35% - Increase picking efficiency by 3x - 30% Faster Shipping - We serve more than 10% of Shopify Plus stores globally

Famous Software offers a comprehensive suite of enterprise-level business management solutions designed to streamline operations and enhance real-time decision-making across diverse industries. At the core of the product portfolio is Famous ERP, a fully integrated and customizable software platform developed to manage and automate the integration of information and operational processes throughout the entire business enterprise. The company's robust Business Intelligence capabilities empower users to transform complex business data into powerful visualizations, enabling informed strategic decisions. The Warehouse Management System provides a suite of tools to increase operational efficiency within increasingly complex supply chain environments. The Integration Services module facilitates seamless electronic trading with customers and suppliers, while the versatile Apps suite delivers smart, real-time updates and extended mobility beyond the desktop.

Distribution software developed by distribution experts and trusted and used by top HVAC, Electrical, Plumbing, and PVF distributors. There are always ways to improve supply chain management. Eclipse ERP software provides real-time data and insights that help you work smarter, from forecasting to fulfillment. It's easy to order large distribution jobs in electrical, HVAC, or plumbing with intuitive job management tools. You can monitor your inventory in real-time to optimize your business's lifeblood. Satisfy customers, increase profits, and reduce inventory. Eclipse has all of this. Warehouse efficiency is dependent on the quality of the warehouse's staff and the tools they use to do their job. Epicor Eclipse makes it easy to manage warehouse activities--including receiving, put-away, picking, inventory adjustments, cycle counts, and more.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.