Best Data Modeling Tools in India

Visually define Sequelize models, fields, and associations. Add notes, comments and pictures to enhance diagrams. You can share pixel-perfect diagrams in a printable format. Diagrams can help you see the structure of your data and identify errors. It is like a blueprint for your house. You have the documentation and the knowledge of what you are building. This allows your clients and team members to easily understand the relationships between collections and documents. Create code and database structures. Avoid typos, make changes quickly.

Integrate analytics into real time interactions and event-based capabilities. SAS Visual Data Science Decisioning offers robust data management, visualization, advanced analysis, and model management. It supports decision making by creating, embedding, and governing analytically driven decision flows at scale in batch or real-time. It also provides analytics and stream-based decisions to help you uncover insights. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle. SAS Visual Data Mining and Machine Learning runs in SAS®, Viya®. It combines data wrangling and exploration with feature engineering and modern statistical, data mining and machine learning techniques in one, scalable, in-memory processing environment. This web application is a development tool that you can access via your browser.

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.

Public datasets can help you improve the accuracy of your machine-learning models. Use curated datasets to save time on data preparation and discovery. These datasets are ready for use in machine-learning workflows and can be accessed from Azure services. Consider real-world factors which can have an impact on business outcomes. By incorporating features of curated datasets in your machine learning model, you can improve the accuracy and reduce the time required for data preparation. Share datasets with the growing community of data analysts and developers. Azure Open Datasets can be used to deliver insights at hyperscale with Azure's machine-learning and data analytics solutions. Open Datasets are free to use. Open Datasets are free to use, but you'll only be charged for the Azure services you consume, such as virtual machines, storage, networking resources and machine learning. Open data that has been curated and made available on Azure.

Transforming complex data networks to clear insights. Dtangle uses a revolutionary open source technology from CERN, and AI-assistants to transform complex data landscapes into actionable insights. Our revolutionary solutions will help you sift data with precision and isolate the essentials. Dtangle's visual analysis tools allow you to explore data from different angles, ensuring you are always presented with valuable threads. Even the most complex data networks can be made understandable by translating complexity into visuals which speak clarity. Dtangle provides advanced visual tools that help companies understand their data patterns. Even those with no data background can benefit from the user-friendly interfaces. Dtangle takes the analysis of data to a new level. Data science can be used to go beyond traditional data and network analyses.

AI insights that save money and optimize spending can be gained by combining performance data, automating reporting and integrating unified data. Create an active analysis system. Create new insights using a connected library with more than 170 connectors to intake data from all major advertising, commerce and CRM vendors. Make your IT team more productive with constant connector updates and turnkey installations. You can enter your credentials, and start unifying cross-channel marketing in minutes. Dashboards and reporting tell the story of the big picture. What about actionable insights, though? You can choose a KPI that you want to improve, and create a pipeline of AI insights that is always available. You can answer questions such as how to reduce spending by lowering CPM, or dig deeper to find out what creative had the biggest outlier effects during a recent campaign. Einstein analyzes all your data and ranks insights on what drives the most engagement.

Data Warehouse Studio allows software architects, data modelers, business analysts, and data engineers to directly contribute to the success of data warehouses and business intelligence projects. These domain experts can use Data Warehouse Studio's graphical interface to define business rules, data maps, desired coding patterns, or other design elements. After these requirements and technical specifications are entered into Data Warehouse Studio's central repository the platform automatically generates 99-100% the SQL and ETL codes required for the project. This eliminates the need to manually code. Data Warehouse Studio completely eliminates the need for you to manually code ETL and SQL processes for most projects. Data Warehouse Studio is a design-time technology that allows all project participants to share requirements and technical specifications on a single platform.

Open Source modeling toolkit to create ArchiMate sketches and models. Enterprise Architects worldwide use this toolkit. The Archi®, modeling toolkit is designed for all levels of Enterprise Architects. It is a low-cost solution for users who are just starting to use the ArchiMate modelling language or those who are looking for an open source, cross-platform ArchiMate model tool for their company. The ArchiMate®, an independent Enterprise Architecture standard, supports the analysis, visualization, and description of architecture within and between business domains. ArchiMate is a standard hosted by The Open Group® and fully aligned to TOGAF®. ArchiMate assists stakeholders in assessing the impacts of design changes and choices.

Modern applications require a data layer. Prisma replaces the traditional ORMs. Simplified & type-safe database access. Declarative migrations and data modeling. Powerful & visual data management. Client for auto-generated and type-safe databases. Prisma client simplifies database access. It allows you to read and write data to your database with your favorite programming language. Prisma makes it simple to create GraphQL servers. Learn how to use Prisma to access your database within your resolvers.

Anzo is a modern data integration and discovery platform that allows anyone to find, connect, and blend enterprise data into analytics-ready datasets. Anzo's unique use semantics and graph models makes it possible for anyone in your company - from data scientists to novice business users to drive data discovery and integration and create their own analytics-ready data sets. Anzo's graph models give business users a visual map of enterprise data that is easy for them to understand and navigate, regardless of how complex, siloed, or large their data may be. Semantics adds business content to data. It allows users to harmonize data using shared definitions and create blended, business-ready data upon demand.

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.

MySQL Workbench is a visual tool that combines all the tools needed to help database developers, architects, and DBAs. MySQL Workbench offers data modeling, SQL development, as well as comprehensive administration tools for server configurations, user administration, backup, etc. MySQL Workbench can be used on Windows, Linux, and Mac OS X. It provides everything a data modeler needs to create complex ER models, forward or reverse engineering, and key features for difficult change management and documentation tasks that usually require a lot of time and effort. MySQL Workbench provides visual tools for creating, optimizing, and executing SQL queries. The SQL Editor offers color syntax highlighting, autocomplete, reuse of SQL code snippets and execution history. Developers can manage standard database connections easily with the Database Connections Panel.

With SAP PowerDesigner software, you can create a blueprint of your enterprise architecture and visualize the impact on change. You can instantly capture your requirements and architecture layers, tap into a powerful repository of metadata, and share your discoveries with your team using capabilities like data modeling, link-and-sync, and metadata management. Link-and-sync technology allows you to create tight connections between your company’s unique requirements, data models, and language. A secure metadata repository supports all types of modeling and allows developers to exchange information with enterprise architects. A flexible, wizard-driven system that allows for Web-based reporting and documentation can simplify the lives of your IT staff and users.

Data design software that allows you to model, link, standardize, and integrate distributed data assets across your enterprise. IBM InfoSphere®, Data Architect is a collaborative enterprise-level data modeling and design tool that can simplify and accelerate integration design in business intelligence, master data management, and service-oriented architecture initiatives. InfoSphere Data Architect allows you to collaborate with users at all stages of the data design process: from project management to application development to data design. This tool can help you align processes, applications, and data architectures. Simple warehouse design, dimensional modelling and change management tasks reduce development time. You also have the tools to design and manage warehouses using an enterprise logical model. Column-organized tables that are time stamped and column-organized provide a better understanding of data assets, which can help increase efficiency while reducing time to market.

It is difficult to find searchable solutions amongst a sea of unstructured data. Our technicians are trained in spotting hidden patterns and trends in this tangled web. This process will allow us to gather, catalog, annotate, then combine it into a user-friendly format that can be used to make critical decisions. This allows us to generate actionable insights that can be used to grow our business. Visible Systems understands that traditional data analysis tools can only analyze data in a certain format. Most data is not formatted because it comes from multiple sources. Data discovery allows us to combine and format data from different sources to simplify analysis. This allows us to deliver data in the correct format and in a timely manner. Data discovery is a continuous process. We recognize that old data is just as valuable as new data.

MagicDraw supports UML 2 metamodel. This is the most recent XMI standard for data storage, and the most popular programming languages to implement. MagicDraw makes it simple to create a Software Development Life Cycle environment (SDLC) that suits your business's needs. Our Open API and standard approach make it easy to integrate with other applications that support your business's needs. We integrate with many top products, including IDEs, requirements and testing, estimation, MDD, databases, and other tools. MagicDraw is independent from any particular software development process. It conforms well to your company's process and allows centralization of business process modeling, requirements capture, and design. MagicDraw isn't tied to any phase of your project.

Eclipse Papyrus can be customized to address specific domains: UML profile and model explorer; diagram notation style and style; properties views; palette and creation menus; and many other features. Eclipse Papyrus enables model-based techniques: model-based simulation, model-based formal testing, safety analysis, performance/trade-offs analysis, architecture exploration. Eclipse Papyrus is an open-source Model-Based Engineering tool that is industrial-grade. Eclipse Papyrus has been used in many industrial projects. It is also the basis platform for many industrial modeling tools. Eclipse Papyrus also supports SysML, allowing for model-based system engineering. Eclipse Papyrus' modeling features are customizable to maximize reuse.

UML Designer offers a set common diagrams that can be used with UML 2.5 models. This is a simple way to transition from UML to domain-specific modeling. Users can use the provided representations to continue working with legacy UML models, and then switch to DSL. You can also reuse the representations provided and have total transparency on both UML models and DSL models. It is a general workbench for model-based architectural engineering and can be easily customized to meet specific needs. It uses the Eclipse Foundation's standard UML2 metamodel. It is based upon Sirius and allows for easy integration of UML and domain-specific modeling. You can easily extend the diagram definitions to work seamlessly on both UML models and DSL models simultaneously. It is easy to modify each diagram to suit your needs. Try the latest UML Designer release to get the code.

A data model for the industry from IBM is a blueprint that combines best practices, government regulations, and the complex data analysis needs of the industry. A model can help manage data lakes and data warehouses to gain deeper insights that will allow you to make better decisions. These models include business terminology, warehouse design models, and business intelligence templates. This framework is designed for specific industry-specific organizations to help you accelerate your analytics journey. Industry-specific information infrastructures make it easier to analyze and design functional requirements. To model changing requirements, create and rationalize data warehouses with a consistent architecture. To accelerate transformation, reduce risk and deliver better data to all apps. Establish enterprise-wide KPIs to address compliance, reporting, and analysis requirements. To govern your data, use industry data model vocabulary and templates for regulatory reporting.

IBM SPSS Modeler, a leading visual data-science and machine-learning (ML) solution, is designed to help enterprises accelerate their time to value through the automation of operational tasks by data scientists. It is used by organizations around the world for data preparation, discovery, predictive analytics and model management and deployment. ML is also used to monetize data assets. IBM SPSS Modeler transforms data in the best possible format for accurate predictive modeling. You can now analyze data in just a few clicks, identify fixes, screen fields out and derive new characteristics. IBM SPSS Modeler uses its powerful graphics engine to help you bring your insights to life. The smart chart recommender will select the best chart from dozens of options to share your insights.

GenMyModel is a France company and produces a software product named GenMyModel. Pricing starts at $10.00/month/user. GenMyModel is a type of data modeling software, and provides features like data import / export, flowchart, and Multi-User collaboration. GenMyModel includes online support. GenMyModel has a free version. Regarding deployment requirements, GenMyModel is offered as SaaS software. Some alternatives to GenMyModel are Lucidchart, ERD Lab, and Creately.