Best Data Modeling Tools in China - Page 3

Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.

RestApp is a No Code Data Activation Platform that provides anyone with an all-in one solution to connect, model and sync any data using his favorite tools. RestApp allows Data & Ops teams activate data in minutes using No-Code by: Connecting to your favorite databases and business apps Drag-and-drop SQL, NoSQL, and Python functions to model your data and then create and share queries with your colleagues - Automatically sync your data with your tools RestApp makes it easy to use our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Calculating your customers' lead scoring - Generate automatic cohort analyses

Enhance the precision of your machine learning models by leveraging publicly accessible datasets. Streamline the process of data discovery and preparation with curated datasets that are not only readily available for machine learning applications but also easily integrable through Azure services. It is essential to consider real-world factors that could influence business performance. By integrating features from these curated datasets into your machine learning models, you can significantly boost the accuracy of your predictions while minimizing the time spent on data preparation. Collaborate and share datasets with an expanding network of data scientists and developers. Utilize Azure Open Datasets alongside Azure’s machine learning and data analytics solutions to generate insights at an unprecedented scale. Most Open Datasets come at no extra cost, allowing you to pay solely for the Azure services utilized, including virtual machine instances, storage, networking, and machine learning resources. This curated open data is designed for seamless access on Azure, empowering users to focus on innovation and analysis. In this way, organizations can unlock new opportunities and drive informed decision-making.

GibsonAI represents a groundbreaking advancement in AI-driven database engineering, transforming the entire lifecycle of databases through automation from the design phase all the way to deployment. Users can effortlessly create comprehensive database solutions, including entity-relationship diagrams, optimized schemas, fully deployed hosted databases, live CRUD APIs, and detailed documentation, simply by engaging in a conversation in everyday language—no SQL coding or DevOps management required. This platform allows for seamless alterations using natural language commands, thereby removing the need for manual migrations and minimizing downtime. It is particularly well-suited for developers looking to speed up their development processes, startups aiming to launch scalable applications, and enterprise teams intending to enhance their database engineering and maintenance operations. As a result, GibsonAI not only simplifies complex tasks but also empowers teams to focus more on innovation and growth.

Simplify and enhance the accessibility of enterprise data through erwin Data Modeler. Recognized as the leading data modeling tool, erwin Data Modeler is utilized by premier brands globally to establish a cohesive perspective of data from diverse sources, thereby promoting its utilization, comprehension, and reliability throughout the organization. This versatile software is offered in three distinct editions: Standard, Workgroup, and Navigator, catering to varying business needs. By leveraging these options, organizations can tailor their data modeling approach to align with their specific requirements and enhance overall data governance.

Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.

ER/Studio Enterprise Team Edition, the most popular business-driven data architecture solution, combines multi-platform data modelling, business process modeling, enterprise metadata, and business process modeling for organizations of all sizes. The ER/Studio suite offers a wide range of features, including robust logical and physically modeling with ER/Studio Data Architect and business process and conceptual modeling using ER/Studio Business Architect. There are also business glossaries with ER/Studio Team Server to help you build your data governance programs. Establish a foundation for data governance. First, you need to understand how data flows within your organization. Business process models are the best way to document this. ER/Studio Business Architect allows you to document the relationships between people, processes, data, and other information.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Online editor that allows content creators to create charts, data widgets and maps to visualize data. It also provides information, tables and spreadsheet tools to improve productivity. Visual Paradigm has a powerful API that allows for the creation of plug-ins to add custom functionality. Visual Paradigm Server version 17.0 allows project teams to manage the rollout of plug-ins. The Enterprise Model Finder makes it easy to quickly find model elements within your team projects. Version 17.0 includes a number major improvements that make it easier to search for data and make it more understandable. A project template is a way to start a project without having to start from scratch. Your project templates can include guidelines, glossary, corporate workflows, and more depending on the nature of your projects. A project template is simply a way to get an idea of what you can do with your work.

The Archi® modeling toolkit serves as an open-source solution for creating ArchiMate models and sketches, widely utilized by Enterprise Architects globally. Aimed at all tiers of Enterprise Architects and Modellers, this toolkit offers an affordable entry point for individuals embarking on their journey with the ArchiMate modeling language. It is also suitable for organizations seeking a cross-platform ArchiMate modeling tool that allows them to explore the language within frameworks such as TOGAF® or other Enterprise Architecture methodologies. The ArchiMate® modeling language is recognized as an open and independent standard for Enterprise Architecture, facilitating the description, analysis, and visualization of architecture across various business domains. As one of the open standards maintained by The Open Group®, ArchiMate aligns seamlessly with TOGAF® and assists stakeholders in evaluating the consequences of design decisions and modifications. By providing a user-friendly interface and extensive functionalities, the Archi toolkit empowers both novice and experienced users to effectively engage with architecture modeling.

Creating a robust data layer for contemporary applications is essential. Prisma serves as an alternative to conventional ORMs, offering a more straightforward and type-safe approach to database interactions. With its declarative migrations and data modeling features, it enhances the development process. The platform also provides powerful visual tools for managing data effectively. An automatically generated and type-safe database client streamlines the database access process. This client allows developers to interact with their databases effortlessly using the programming languages they prefer. Moreover, Prisma simplifies the implementation of GraphQL servers, enabling seamless integration. Understanding how to utilize the Prisma client within your resolvers is crucial for efficient database access. By leveraging these capabilities, developers can build applications that are both powerful and maintainable.

Anzo is an innovative platform for data discovery and integration that empowers users to locate, connect, and blend various enterprise data into datasets that are ready for analysis. With its distinctive application of semantics and graph data models, Anzo enables individuals across the organization—from expert data scientists to inexperienced business users—to actively participate in the data discovery and integration journey, crafting their own analytics-ready datasets in the process. The graph data models offered by Anzo create a visual representation of enterprise data, simplifying the navigation and understanding of complex and siloed information. By incorporating semantics, Anzo enriches the data with business context, allowing users to unify data according to shared definitions and create blended datasets that are tailored for immediate business needs. This democratization of data access not only fosters collaboration but also accelerates decision-making across various levels of the organization.

Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.

MySQL Workbench serves as an integrated visual platform designed for database architects, developers, and administrators. It encompasses functionalities for data modeling, SQL development, and a wide range of administrative tasks like server setup, user management, and backup solutions. Compatible with Windows, Linux, and Mac OS X, MySQL Workbench allows users to visually design and manage databases efficiently. This tool provides everything necessary for data modelers to create intricate ER models while also facilitating forward and reverse engineering processes. Additionally, it offers essential features for managing changes and documentation, which typically consume considerable time and resources. With visual tools for building, executing, and refining SQL queries, MySQL Workbench enhances productivity. The SQL Editor boasts features such as syntax highlighting, auto-completion, the ability to reuse SQL snippets, and a history of SQL executions for easy tracking. Furthermore, the Database Connections Panel streamlines the management of database connections, making it user-friendly for developers at all levels.

Design a comprehensive blueprint of your existing enterprise architecture and anticipate the effects of changes in advance using SAP PowerDesigner software. This tool offers features like data modeling, link-and-sync functionality, and efficient metadata management, allowing you to quickly document architecture layers and capture essential requirements. By utilizing a robust metadata repository, you can easily share insights and findings with your team. Establish seamless connections between your organization’s specific needs, terminology, and data models through innovative link-and-sync technology. Enhance the collaboration between developers and enterprise architects by leveraging a secure metadata repository that accommodates various modeling types. Furthermore, streamline the experience for both users and IT personnel with an adaptable, wizard-driven interface for documentation and online reporting, ultimately fostering a more productive working environment. By implementing this approach, you can ensure that your enterprise architecture remains agile and responsive to changes.

A comprehensive data design solution allows for the exploration, modeling, connection, standardization, and integration of various data assets scattered across the organization. IBM InfoSphere® Data Architect serves as a collaborative tool for enterprise data modeling and design, streamlining integration efforts for business intelligence, master data management, and service-oriented architecture projects. This solution facilitates collaboration with users throughout the entire data design journey, encompassing project management, application design, and data design phases. It aids in aligning processes, services, applications, and data architectures seamlessly. With features that support straightforward warehouse design, dimensional modeling, and effective change management, it significantly shortens development time while equipping users to design and oversee warehouses based on an enterprise logical model. Additionally, the implementation of time-stamped, column-organized tables enhances the comprehension of data assets, leading to improved efficiency and faster time to market. Ultimately, this tool empowers organizations to harness their data more effectively, driving better decision-making processes.

Searching for actionable insights within a mass of unstructured data is akin to finding a needle in a haystack. Our skilled technicians excel at identifying subtle trends and patterns woven into that complex fabric. By systematically gathering, cataloging, annotating, and integrating the data, we transform it into a clear and accessible format that aids in making crucial decisions. This process enables us to generate outcomes that reveal actionable insights, paving the way for business expansion. At Visible Systems, we recognize that conventional data analysis tools are tailored to handle data presented in specific formats, yet much of the data we encounter is shapeless, arising from diverse sources. Through data discovery, we have the capability to consolidate and reformat this information from multiple origins, facilitating more efficient analysis. This ensures that the data is presented in an appropriate format, thereby guaranteeing timely and effective deliverables. Furthermore, we acknowledge that the process of data discovery is ongoing, and both historical and newly acquired data hold significant value in driving informed decision-making. Ultimately, our commitment to refining data ensures that businesses can leverage insights from every piece of information available.

MagicDraw effectively accommodates the UML 2 metamodel, adheres to the latest XMI standards for data management, and supports a wide array of popular programming languages for implementation. In contrast to other UML modeling and architectural tools, MagicDraw simplifies the establishment of a Software Development Life Cycle (SDLC) environment tailored to meet your organization's specific requirements. Our commitment to adhering to standards, along with an Open API, facilitates seamless integration with various applications that work cohesively to address your business needs. We offer compatibility with numerous leading tools, including IDEs, requirement management, testing, estimation, Model-Driven Development (MDD), and database systems. MagicDraw ensures flexibility by not being bound to a specific software development methodology, thus aligning well with your organization's processes and allowing for the centralization of business and process modeling, requirements gathering, and design efforts. Additionally, MagicDraw's versatility allows it to be utilized throughout all phases of your project, ensuring that teams can adapt their workflows as needed.

Eclipse Papyrus offers extensive customization options for various components, including UML profiles, model explorers, diagram styles, property views, palettes, and creation menus, allowing it to cater to any specific domain. This powerful tool supports model-based methodologies such as simulation, formal testing, safety analysis, performance trade-offs, and architectural exploration. As an open-source Model-Based Engineering platform of industrial quality, Eclipse Papyrus has been successfully implemented in numerous industrial projects and serves as the foundational platform for a range of industrial modeling tools. Additionally, it provides robust support for SysML, facilitating model-based system engineering processes. The design of Eclipse Papyrus's modeling features emphasizes customization and aims to enhance the potential for reuse across different projects and applications. By integrating these capabilities, Eclipse Papyrus stands out as a versatile solution for engineers and developers alike, streamlining their modeling efforts while ensuring flexibility and efficiency.

IBM's industry data model serves as a comprehensive guide that incorporates shared components aligned with best practices and regulatory standards, tailored to meet the intricate data and analytical demands of various sectors. By utilizing such a model, organizations can effectively oversee data warehouses and data lakes, enabling them to extract more profound insights that lead to improved decision-making. These models encompass designs for warehouses, standardized business terminology, and business intelligence templates, all organized within a predefined framework aimed at expediting the analytics journey for specific industries. Speed up the analysis and design of functional requirements by leveraging tailored information infrastructures specific to the industry. Develop and optimize data warehouses with a cohesive architecture that adapts to evolving requirements, thereby minimizing risks and enhancing data delivery to applications throughout the organization, which is crucial for driving transformation. Establish comprehensive enterprise-wide key performance indicators (KPIs) while addressing the needs for compliance, reporting, and analytical processes. Additionally, implement industry-specific vocabularies and templates for regulatory reporting to effectively manage and govern your data assets, ensuring thorough oversight and accountability. This multifaceted approach not only streamlines operations but also empowers organizations to respond proactively to the dynamic nature of their industry landscape.

Montara enables BI Teams and Data Analysts to model and transform data using SQL alone, easily and seamlessly, and enjoy benefits such a modular code, CI/CD and versioning, automated testing and documentation. With Montara, analysts are able to quickly understand the impact of changes in models on analysis, reports, and dashboards. Report-level lineage is supported, as well as support for 3rd-party visualization tools like Tableau and Looker. BI teams can also perform ad hoc analysis, create dashboards and reports directly on Montara.

ExoCoding, an online platform for code generation, empowers software developers by enabling them to create better software faster. It uses AI-powered assistants that are based on models to generate boilerplate codes and streamline repetitive tasks. Developers can create applications that contain modules for Database Management, Logic Building and Interface Design. There are more features, such as sharing prototypes, task-planning, and a marketplace that offers pre-built templates, which enhance the developer experience. After generating the code (backend or frontend), it's business as usual. The same IDE, and other dev tool are used.

Transforming intricate data networks into understandable insights is what Dtangle excels at. By utilizing groundbreaking open-source technology developed by CERN and AI support, Dtangle simplifies complex data environments into clear, actionable insights. Our innovative solutions enable users to navigate through data with remarkable accuracy, distinguishing crucial information from excess noise. Additionally, Dtangle’s visual analytics tools allow for exploration of data from various perspectives, ensuring that you consistently access significant data threads. Even the most convoluted data systems are rendered comprehensible, as we convert complexity into visuals that convey clarity effectively. At Dtangle, we offer sophisticated visual tools designed to assist businesses in interpreting their data patterns. Our intuitive interfaces empower individuals without extensive data expertise to extract meaningful insights. By elevating data analysis to unprecedented heights, Dtangle enables users to move beyond conventional data and network analysis, fully capitalizing on the capabilities of data science. This approach not only enhances understanding but also drives informed decision-making in an increasingly data-driven world.

Enhance your spending efficiency and boost customer interaction through consolidated performance metrics, streamlined reporting, and intelligent AI-driven insights designed for cost reduction. Establish a dynamic analysis framework that generates fresh insights by utilizing a comprehensive library with over 170 connectors, allowing seamless data intake from leading advertising, commerce, CRM, and database providers. Your IT department will experience increased productivity thanks to the continuous maintenance of these connectors and straightforward installation, enabling you to input your credentials and begin integrating your cross-channel marketing performance in a matter of minutes. While reporting and dashboards provide an overview of overall performance, actionable insights are equally crucial for strategic decision-making. With Einstein, you can focus on specific KPIs that require enhancement and develop a constant stream of AI-derived insights. This capability empowers you to address overarching inquiries, such as strategies for decreasing expenses by minimizing your CPM, or conducting a deeper analysis to identify which creative elements produced the most significant outlier effects in your latest campaign. By evaluating all your data, Einstein prioritizes insights based on their potential to drive engagement, ensuring you make informed choices to optimize your marketing efforts effectively.