erwin Data Modeler vs Xtract.io
Overview
🔥 Trending in Development & Training Tools on StackShare
Detailed Comparison
It is data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. Discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives – all while supporting data governance and intelligence efforts. | It is a data solution and technology company that brings in NextGen solutions. We are specialized in data aggregation, preparation, and integration services, to deliver relevant data to downstream systems. Even customized solutions are provider to solve unique data/business challenges. |
Visualization of Any Data
From Anywhere; Automated Data Model &
Database Schema Generation; Centralized Model Development
& Management; Data Literacy, Collaboration
& Accountability; Agile Application Development; Increased Data Quality | Data extraction;
Data aggregation;
POI data;
Media monitoring;
Sales and Marketing Intelligence;
Data quality |
Statistics | |
Stacks 6 | Stacks 0 |
Followers 3 | Followers 0 |
Votes 0 | Votes 0 |
What are some alternatives to erwin Data Modeler, Xtract.io?
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Superset
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
Cube
Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.
Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Mode
Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
Google Datastudio
It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
AskNed
AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.
Shiny
It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
