16 Data Modeling Tools You Should Know (2022)

During a teleconference meeting, a developer at DoorDash was telling the company’s director of business intelligence, Marta Vovchenko, about a data model he was putting together. But he didn’t share his screen to show, say, a visualization in DataGrip or a diagram in erwin Data Modeler.

He just held up a piece of paper to the camera.

“Any data modeling starts with pen and paper,” Vovchenko told Built In. “If you’re talking about data modeling tools, pen and paper is a quintessential tool.”

Data Modeling Tools to Know

  • Draw.io
  • Lucidchart
  • SQuirreL SQL Client
  • MySQL Workbench
  • Amundsen
  • erwin Data Modeler
  • ER/Studio
  • Datagrip

Of course, tools come into play at the next step of the process, but the low-tech approach speaks to the core essence of data modeling — plotting and illustrating the relationship between various entities, whether that’s inside an application database or within a data warehouse architecture.

The question of which data modeling tools to consider is contextual. “It’s a question of the right tools for the right situation,” Vovchenko said. Key considerations revolve around an organization’s tech stack and data security. “You have to keep in mind that, if you’re connecting different solutions to your databases, that means you might be opening up your databases,” she added.

Also, there can be some pretty stark tech-cultural lines. If you’re on a data team at a startup with no dedicated data architect role, there’s a good chance you’ve never practically encountered, for instance, ER/Studio — an enterprise-friendly, Windows-only tool with a strong foothold in more traditional corporate realms.

What Is Data Modeling?

Data modeling is the process of creating a visual representation of a software system to illustrate the data it contains and how it flows. Data models will typically use text and symbols to represent how data is functioning within the software. Businesses use data modeling to understand how their data can be grouped and organized, as well as how it relates to larger business initiatives.

Data models can also be described as living documents intended to shift and change along with the needs of the business. For example, if a data model is used to help create a new database, the data model lives on after the database has been deployed to explain why the database exists and how it functions. Data models are important because businesses can use them to assist with software development as well as for analytics and business intelligence. Another benefit of data modeling is that it can often be a collaborative process between teams and stakeholders and can be used as a source of truth for a software system or database, allowing people within an organization to have an accessible resource to answer their queries.

We’ve compiled a list of 16 data modeling tools you should know about, with the help of Vovchenko; Ajay Gupta, manager of data architecture at Appnovation; and Mang-Git Ng, founder and CEO of Anvil.

(Video) Data Modeling Tutorial

Top Data Modeling Tools to Know

16 Data Modeling Tools You Should Know (1)

Draw.io

Think of Draw.io as the bridge between pen and paper or whiteboarding to something a little more formalized. It’s a free, intuitive, browser-based flowchart builder in which users can drag and drop entity shapes (including the ellipses and parallelograms common to data models) onto a canvas, then join them with connector lines. It’s a handy way to get something down quickly, even for someone lacking access to high-powered software.

It might not make sense in contexts that deal with a lot of unstructured, schema-on-read data, like event-based data sets, but it’s smooth for things like finance models, which are of course highly structured, Vovchenko said.

“The very first model that was drawn for finance [at DoorDash] was actually drawn in Draw.io,” she said.

An SQL plugin, which automatically builds entity shapes and attributes from SQL code, is also available.

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16 Data Modeling Tools You Should Know (2)

Lucidchart

Lucidchart is a diagram builder similar to Draw.io, but it promises more complex flows and stronger data protection. Unlike Draw.io, Lucidchart’s unlimited plans carry a cost. Lucidchart links to SQL, which means users can pipe their canvases into their actual database management system.

It’s part of DoorDash’s toolkit too. “Historically, we’ve had a lot of microservices based on PostgresQL databases,” Vovchenko said. “Using Lucidcharts was helpful because you can connect it directly to those databases, then read the schema and work with the already pre-documented diagram.”

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16 Data Modeling Tools You Should Know (3)

SQuirreL SQL Client

There are three overarching considerations when working with data models, according to Vovchenko: agility, consistency and data integrity. Agility effectively translates to a willingness to accept the fact that no single data-modeling tool is going to suffice across all use cases.

(Video) What is Data Modelling? Why do we need it? What are the advantages and disadvantages of data model?

DoorDash has utilized SQuirreL, a free, open-source graphical tool that’s supported by most major relational databases. Described by Vovchenko as easy to install and deploy, it lets users see database structures and draw entity-relationship diagrams from existing schemas, among other features.

Open-source options may be particularly attractive to net-new businesses, since, as Ajay Gupta noted, connecting those applications to older data environments can sometimes require the added step of front-ending an open database connectivity (ODBC) API.

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16 Data Modeling Tools You Should Know (4)

MySQL Workbench

This free, open-source and cross-platform data-modeling GUI layer for MySQL databases has a reputation for intuitiveness and ease of use. Vovchenko said she previously used MySQL Workbench for structured data alongside the MicroStrategy analytics platform.

“Having the ability to use Workbench to develop a model, then overlay it with this extensive logical model to use for reporting purposes, was very helpful for us,” she said. In fact, her team formerly had a regularly scheduled exercise where it would re-create the full model with Workbench and then examine how it fit into the environment. “That’s a really good tool,” she added.

16 Data Modeling Tools You Should Know (5)

Amundsen

Perhaps the most important trend in data in recent years is the rise of data catalogs, spurred in no small part by privacy regulations like GDPR and CCPA. That push has touched data modeling, too. Vovchenko said the line between data lineage tools and data modeling tools will only continue to blur.

Exemplifying the trend is Amundsen, the metadata discovery platform developed and made available by Lyft.

“Amundsen models metadata entities as a graph, which makes it easy to extend the model when more entities are introduced,” wrote Lyft engineer Tao Fang when the company made the open-source announcement in 2019. “All of the entities — such as tables, columns and schemas — are connected via edges that represent the relationships between them.”

16 Data Modeling Tools You Should Know (6)

erwin Data Modeler

Erwin runs on MySQL and PostgresQL — the kinds of free databases toward which so much of the tech world has gravitated in recent years. But it also supports the likes of Teradata, Oracle and Netezza — which is why it’s perhaps more associated with enterprise legacy shops, where data models tend to be more thoroughly optimized than in some deliver-features-fast startups.

That said, organizations that accept the cost tradeoff get some very robust capabilities. Benefits include the ability to both forward and reverse engineer, generate DDL statements and “help you identify diffs, to keep the history of your schema evolution,” Vovchenko said.

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(Video) 16 Data Models
16 Data Modeling Tools You Should Know (7)

ER/Studio

Along with erwin, ER/Studio is another powerful, long-running, enterprise-friendly market leader in data modeling. It supports forward and reverse engineering, and also runs the gamut in terms of databases supported. The tool — which is Windows-only — is available in four options, with the top model supporting Jira integration, conceptual mapping and schema generation on database, among other features.

Both erwin and ER/Studio have weathered ownership changes since arriving in the late ’90s. Those shakeups may have factored into occasional stability issues for both products, Gupta said, but the fact that both can connect to so many different data sources and database platforms should counteract lingering fears of bugginess. Both are quality options for enterprises that want to avoid vendor lock-in, he added.

16 Data Modeling Tools You Should Know (8)

InfoSphere Data Architect

Developed by IBM, InfoSphere Data Architect is a collaborative enterprise data modeling and design solution ideal for business intelligence and data management. Some of the tool’s features include querying capabilities, the ability to import and export constant mappings and create logical and physical data models. InfoSphere Data Architect is compatible with IBM Db2, IBM Informix, Oracle, Sybase, Microsoft SQL Server, MySQL and Teradata source systems.

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16 Data Modeling Tools You Should Know (9)

SQL Server Management Studio

For those looking for an accessible, Windows-compatible tool, SQL Server Management Studio might be a good option as it comes standard with Microsoft’s SQL Server. The tool allows users to configure, monitor and administer instances of SQL.

Data modelers can use SSMS to deploy, monitor and upgrade data-tier parts used by applications. SSMS can be used to manage databases as well as to design and query models on both a local computer and in the cloud.

16 Data Modeling Tools You Should Know (10)

Oracle SQL Developer Data Modeler

Created in 2009, Oracle’s SQL Developer Data Modeler is a free data modeling tool that allows users to create relational, physical and multidimensional models. Users can also apply the tool to forward and reverse engineer data. The data modeler has had over 20 iterations and releases and future enhancements plan to include compatibility for MySQL, TimesTen, Sybase, and SQL Server 8.

16 Data Modeling Tools You Should Know (11)

Postico

Tech culture can create pretty sharp dividing lines when it comes to who reaches for what data-modeling tools. Mang-Git Ng is the founder of Anvil, a startup focusing on paperwork automation, and a Flexport veteran. For him, enterprise tools like erwin and ER/Studio might as well exist on another planet.

“I didn’t really see a need for a more advanced data modeling tool, if you already understand the data model that you’ve built,” he said.

So what does someone like Ng use? Postico isn’t exactly a data modeling tool; it’s a GUI for PostgresQL that lets users see the tables and views in their database in an intuitive way. Ng said it’s a handy way to look under the hood of your database without getting into the command-line weeds.

(Video) Power BI 16: Data Modeling

16 Data Modeling Tools You Should Know (12)

Navicat

Navicat is a comprehensive platform that offers a variety of solutions for database development. Navicat’s data modeler allows users to build conceptual, logical and physical data models. It works to visually design database structures, perform reverse and forward engineering processes, import models from ODBC data sources, and print models to files.

The tool also strives to simplify data modeling by generating the SQL script compatible with MySQL, MariaDB, Oracle, SQL Server, PostgreSQ and SQLite.

16 Data Modeling Tools You Should Know (13)

Metabase

The open-source Metabase is a graphical interface tool with some helpful analytics visualizations rather than an advanced modeling tool. Its main selling point is cross-team data access. But it also lets users join tables and define entity relationships.

Ng said of his experience with the tool: “I essentially could make a copy of our database, hook it up to Metabase, then slice and dice the data however I wanted. I could make SQL queries on top of the data and do table joins, all from within the UI — which is pretty nice.”

Along with the intuitive UI, Ng said he was impressed with Metabase’s ease of deployment. He got it up and running at full speed within half a day.

16 Data Modeling Tools You Should Know (14)

Quest

Quest’s Toad Data Modeler tool is compatible with over 20 different databases and can help users deploy accurate changes to data structures. The data modeling tool allows users to construct logical and physical data models, compare and synchronize models, quickly generate complex SQL/DDL, create and modify database schema and scripts as well as reverse and forward engineer both databases and data warehouse systems.

The goal of Toad Data Modeler is to give data modelers, DBAs and developers access to a tool that requires minimal training and allows for fast installation and integration.

16 Data Modeling Tools You Should Know (15)

Dbt

Short for Data Build Tool, dbt allows users to visualize data lineage and complete SQL-based data modeling. The tool can help users layer data models with the ref() function and supports models ranging from tables to incremental tables as well as views or a custom design.

16 Data Modeling Tools You Should Know (16)

DataGrip

DataGrip is popular among database administrators because it allows users to add, remove, edit and clone data rows as well as use text search to easily find information displayed. This data modeling tool also helps users write SQL code with features like context-sensitive, schema-aware code completion and auto-generating code for changing objects like tables and columns based on UI. Queries can be run with features like a query console with each console being able to support schema switching and provide a historical record of your activity and work.

16 Data Modeling Tools You Should Know (17)

Ab Initio

Ab Initio is an enterprise data platform with a variety of capabilities. The platform’s goal is to provide automation and self-service data solutions that can easily adapt and solve issues that arise in data processing and data management.

The platform’s cataloging capabilities are one aspect data modelers can look at as it can mine data from data lakes, the cloud, an operational system or a data warehouse. Data modelers can use Ab Initio to identify datasets and curate the information in them, all while using automation. Users can then search the data and explore it to form models and reviews.

FAQs

What are the 5 data models? ›

Sometimes, storing data related to the same entity or process in smaller tables improves both the structure and the performance.
  • The Conceptual Data Model. ...
  • The Logical Data Model. ...
  • The Physical Data Model. ...
  • The Hierarchical Data Model. ...
  • The Network Data Model. ...
  • The Relational Data Model. ...
  • The Entity-Relationship Data Model.
Apr 14, 2022

Which is the big data model tool? ›

HeidiSQL. A free data modeling tool that offers sufficient features and capabilities for most organizations. It supports MySQL, Microsoft SQL, PostgreSQL and MariaDB.

What are the 4 different types of data models? ›

What are the types of data modeling? The three primary data model types are relational, dimensional, and entity-relationship (E-R). There are also several others that are not in general use, including hierarchical, network, object-oriented, and multi-value.

Is Tableau a data modeling tool? ›

The data modeling capabilities introduced to Tableau in 2020.2 are designed to make analysis over common multi-table data scenarios—including star and snowflake data models—easy. The following types of models are supported in Tableau data sources.

Is Visio a data modeling tool? ›

In Visio, with the Database Model Diagram template, you can create a new model or reverse engineer an existing database into a model. This article describes how to create a database model and what you can do with the model after you create it.

What are the 5 steps under data modeling? ›

CASE STUDY:
  • Step 1: Gathering Business requirements: ...
  • Step 2: Identification of Entities: ...
  • Step 3: Conceptual Data Model: ...
  • Step 4: Finalization of attributes and Design of Logical Data Model. ...
  • Step 5: Creation of Physical tables in database:

What are the basic data Modelling components? ›

A data model supports the following components:
  • Data set. A data set contains the logic to retrieve data from a single data source. ...
  • Event triggers. A trigger checks for an event. ...
  • Flexfields. ...
  • Lists of values. ...
  • Parameters. ...
  • Bursting Definitions. ...
  • Custom Metadata (for Web Content Servers)

What are the three major stages of data modeling? ›

Data modeling occurs at three levels—physical, logical, and conceptual. A physical model is a schema or framework for how data is physically stored in a database. A conceptual model identifies the high-level, user view of data.

How many data models are there? ›

There are four types of data models: Hierarchical model, Network model, Entity-relationship model, Relational model. These models have further categories which are used according to a different use case.

What is a good data model? ›

The writer goes on to define the four criteria of a good data model: “ (1) Data in a good model can be easily consumed. (2) Large data changes in a good model are scalable. (3) A good model provides predictable performance. (4)A good model can adapt to changes in requirements, but not at the expense of 1-3.”

Which is best tool for data analysis? ›

Microsoft Excel is the most common tool used for manipulating spreadsheets and building analyses. With decades of development behind it, Excel can support almost any standard analytics workflow and is extendable through its native programming language, Visual Basic.

Which tool is best for data visualization? ›

  • The Best Data Visualization Software of 2022.
  • Microsoft Power BI.
  • Tableau.
  • Qlik Sense.
  • Klipfolio.
  • Looker.
  • Zoho Analytics.
  • Domo.
Oct 19, 2022

What is data model in Snowflake? ›

Data modeling is the process of organizing and mapping data using simplified diagrams, symbols, and text to represent data associations and flow. Engineers use these models to develop new software and to update legacy software. Data modeling also ensures the consistency and quality of data.

Is Tableau no code? ›

Programming is not needed for Tableau for basic use. Tableau offers drag-and-drop functionalities for building charts without the need for coding and is not designed for data cleaning through programming. However, advanced Tableau users can use Python and R code to enhance visualizations and build models.

What are data modeling concepts? ›

Data modeling is the process of analyzing and defining all the different data your business collects and produces, as well as the relationships between those bits of data.

Is Tableau a low code? ›

Finally, Tableau offers advanced low-code calculations such as correlations and windowing functions. It frees your hands without limiting your data analysis.

Is Visio free? ›

🌟 Is Microsoft Visio Free? No, Microsoft Visio is not a free tool. It comes with monthly or annual subscription plans as well as one-time software purchase for standard and professional versions licensed for 1 PC.

How do you create a data model? ›

How to create a data model for your app project in 9 steps
  1. Gather business requirements. ...
  2. Define business processes. ...
  3. Create a conceptual data model. ...
  4. Define entities and attributes. ...
  5. Identify data sources. ...
  6. Establish relationships between entities. ...
  7. Physical modeling. ...
  8. Normalization and ensuring the integrity of data.
May 22, 2022

How do I make an ER diagram in Word? ›

Follow the instruction below: Go to the File menu, find Database, choose an ER diagram type and start. The ER diagram symbols library will open automatically on the left, providing a defined set of symbols commonly used in ER diagram.

How do I learn data modeling? ›

How to Learn Data Modeling: Step-by-Step
  1. Purchase and install tools. There are many tools available online for data modeling. ...
  2. Watch data modeling tutorials. You can check out some data modeling tutorials to help you gain a deeper understanding of the practice. ...
  3. Sign up for classes. ...
  4. Read books. ...
  5. Practice.
Dec 15, 2020

What is data Modelling in Excel? ›

A Data Model allows you to integrate data from multiple tables, effectively building a relational data source inside an Excel workbook. Within Excel, Data Models are used transparently, providing tabular data used in PivotTables and PivotCharts.

What are the main categories of data models? ›

Types of data models
  • Conceptual data model. Conceptual data models are the most simple and abstract. ...
  • Physical data model. ...
  • Hierarchical data model. ...
  • Relational data model. ...
  • Entity-relationship (ER) data model. ...
  • Object-oriented data model. ...
  • Data modeling software makers.
May 19, 2021

What are data models and its types? ›

Types of Data Models: There are mainly three different types of data models: conceptual data models, logical data models, and physical data models, and each one has a specific purpose. The data models are used to represent the data and how it is stored in the database and to set the relationship between data items.

What are DBMS models? ›

Data models define how the logical structure of a database is modeled. Data Models are fundamental entities to introduce abstraction in a DBMS. Data models define how data is connected to each other and how they are processed and stored inside the system.

What is a data model diagram? ›

The Data Modeling diagram is used to create or view graphical models of relational database system schemas including a range of database objects. The diagrams can be drawn at a logical or a physical level.

What is SQL data modeling? ›

Data Modeling is the process of developing a data model for storing data in a database. This data model is a conceptual representation of data objects, data object associations, and data object rules.

What is an API data model? ›

The API Data model consists of the following major entities: User: A user is the individual performing the analysis in BaseSpace. Runs: A run is a collection of . bcl files associated with an individual flow cell and contains metrics and reads generated by the instrument on which the flow cell was sequenced.

What is data modeling language? ›

Data modeling is the process of creating a visual representation of either a whole information system or parts of it to communicate connections between data points and structures.

Which data models are the most used nowadays? ›

Relational Model is the most widely used model. In this model, the data is maintained in the form of a two-dimensional table. All the information is stored in the form of row and columns. The basic structure of a relational model is tables.

Which database model is best and why? ›

Network Model

In this database model data is more related as more relationships are established in this database model. Also, as the data is more related, hence accessing the data is also easier and fast. This database model was used to map many-to-many data relationships.

Why do we need data modeling? ›

Data modeling helps uncover business rules and ask questions during requirements engineering, while ensuring data integrity. It is more effective than process modeling activities such as use case design or workflow design, and obviously more expressive and less verbose than the prose description of the business rules.

What is data modeling in Python? ›

An application describes the kinds of data it uses with models. A model is a Python class that inherits from the Model class. The model class defines a new Kind of datastore entity and the properties the Kind is expected to take. The Kind name is defined by the instantiated class name that inherits from db. Model .

How do I create a data model in Excel? ›

How to create a data model in Excel by creating new tables
  1. Compile all your data into tables. ...
  2. Click on the "Connections" option within the "Data" tab. ...
  3. Choose the appropriate selections within the "Workbook Connections" pop-up window. ...
  4. Open each table you want to add to your data model. ...
  5. Pivot your data.
Mar 17, 2022

What is SAP data model? ›

The data model comprises the tables in the master instance (master tables) and the tables in the client instances (client tables) that are involved in the synchronization. The definitions of the client tables can be different from the definitions of the master tables.

What are the six characteristics that makes a good data model? ›

The 6 dimensions of data quality are: Completeness, Consistency, Conformity, Accuracy, Integrity and Timeliness.

Which two components do you need to model data? ›

You need the following components to model data: Fields: Properties that store and format data in your application. Data objects: Categories of data that have fields, field mappings, and connections to data sources.

What is traditional data modeling? ›

Data modeling is the process of creating a simplified diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models provide a blueprint for designing a new database or reengineering a legacy application.

Which is best tool for data analysis? ›

Microsoft Excel is the most common tool used for manipulating spreadsheets and building analyses. With decades of development behind it, Excel can support almost any standard analytics workflow and is extendable through its native programming language, Visual Basic.

What is data Modelling example? ›

Data Modeling Terminology

Example: Customers, Orders, Products, etc. Attribute: Attributes give a way of structuring and organizing the data. Relationship: Relationship among the entities explains how one entity is connected to another entity.

What are the tools used for modeling clay? ›

These include boxwood tools, loop and ribbon tools, ribs and scrapers, needle tools, sponges, shapers, and sgraffito tools. Clay texture tools include clay mats, stamps, press tools, rubbing plates, and rollers for applying surface designs to unfired clay.

Is SQL a data analysis tool? ›

SQL is the most commonly used data analysis tool for data analysts and data scientists. The majority of the world's data is stored in databases, and learning SQL will enable you to access and analyze this data with ease.

Is Excel a data analysis tool? ›

Excel is a tool for data analytics and not always complete solution. Use different functions to explore the data for better insights. So get started with Excel spreadsheets and see what you can do with data.

Is SQL used for data analysis? ›

For many, SQL is the "meat and potatoes" of data analysis—it's used for accessing, cleaning, and analyzing data that's stored in databases. It's very easy to learn, yet it's employed by the world's largest companies to solve incredibly challenging problems.

What are the 5 steps under data modeling? ›

CASE STUDY:
  • Step 1: Gathering Business requirements: ...
  • Step 2: Identification of Entities: ...
  • Step 3: Conceptual Data Model: ...
  • Step 4: Finalization of attributes and Design of Logical Data Model. ...
  • Step 5: Creation of Physical tables in database:

What is SQL data modeling? ›

Data Modeling is the process of developing a data model for storing data in a database. This data model is a conceptual representation of data objects, data object associations, and data object rules.

How do I learn data modeling? ›

How to Learn Data Modeling: Step-by-Step
  1. Purchase and install tools. There are many tools available online for data modeling. ...
  2. Watch data modeling tutorials. You can check out some data modeling tutorials to help you gain a deeper understanding of the practice. ...
  3. Sign up for classes. ...
  4. Read books. ...
  5. Practice.
Dec 15, 2020

What is a loop tool? ›

Loop tools are used to remove controlled amounts of clay from wheel-thrown and sculpture pieces. The shaped cutting heads are made from heavy stainless steel ribbon with sharpened edges. Each tool, with its rugged hardwood handle, ensures a sure grip and easy manipulation in wet clay.

What are the materials used for modelling? ›

The most common materials used for models:
  • Foam boards. A foam board involves a layer of foam caught between two thin pieces of plywood. ...
  • Transparent material / Plexiglas. ...
  • Plywood and cardboard. ...
  • Wood. ...
  • Foam and polystyrene. ...
  • Metal. ...
  • Surrounding elements.
Jan 15, 2022

What are sculpting tools called? ›

The point chisel is the most commonly used tool during sculpting, because it is used to rapidly remove material and for roughing out a basic shape, according to thesculpturestudio.com. For soft stones, a steel chisel is ideal; for harder stones such as granite, carbide tipped chisels are best.

What is data model in ETL? ›

Data modeling analyzes data objects and figures out the relationships between them. It generates a theoretical representation of data objects — vendors or customers in SaaS databases — and how to store objects in a system, defining the rules for the relationship between tables.

What is data Modelling in Excel? ›

A Data Model allows you to integrate data from multiple tables, effectively building a relational data source inside an Excel workbook. Within Excel, Data Models are used transparently, providing tabular data used in PivotTables and PivotCharts.

What are the 3 steps of data Modelling? ›

Data modeling occurs at three levels—physical, logical, and conceptual. A physical model is a schema or framework for how data is physically stored in a database. A conceptual model identifies the high-level, user view of data.

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