ER/Studio Data Architect Use Cases

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

  • Build out a data model as part of a development cycle
  • Discover and document existing assets across the data landscape
  • Create and populate a data warehouse
  • Build out an enterprise data model
  • Catalog metadata for data governance or data quality initiatives
  • Perform an impact analysis of new policies or projected changes to models, databases, or data fields

ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

  • Create effective data models to build a business-driven data architecture
  • Document and enhance existing databases to reduce redundancy
  • Implement naming standards to improve data consistency and quality
  • Effectively share and manage data models across the enterprise
  • Map data sources and trace origins to enhance data lineage
Design Effective Data Models

Data modeling helps organizations make better business decisions with accurately interpreted and rapidly changing data. Model data from relational, NoSQL, big data, BI and ETL sources. Whether you are creating a new model from a conceptual diagram or reverse-engineering from an existing database, IDERA ER/Studio Data Architect is a powerful tool that helps you easily and effectively design and manage your logical and physical data models.

Build a Business-driven Data Architecture

Data professionals need to ensure that everyone in the organization understands what the data is and can explain it in business terms. ER/Studio Data Architect provides an easy-to-use visual interface for data modeling professionals to document, understand, and publish information about data models and databases so they can support business objectives.

Reduce Redundancy

Import and reverse-engineer content from multiple data sources into logical and physical data models, and integrate the elements into reusable constructs with an enterprise data dictionary. Easily compare and merge differences between data models and databases to reconcile changes. Leverage rich text editing along with relationship font and color inheritance to enhance model content and appearance.

Improve Data Consistency and Quality

Assign a naming standards template to your model, submodel, entities, and attributes. Those naming standards will be applied automatically between the logical and physical models, simplifying the data modeling process and ensuring consistency between models. With Data Architect Professional, you can also integrate model elements into reusable constructs via a built-in enterprise data dictionary.

Share and Manage Enterprise Data Models

The multi-level design layers in ER/Studio Data Architect allow for the accurate visualization of data. Manage data model version control and share data assets in the repository included with Data Architect Professional. Create and track tasks and view changes to data models aligned to agile development methodologies.

Enhance Data Lineage

Universal mappings provide links between instances of the same concept across models and databases to enhance traceability, and data lineage diagrams show the source, target, and transformation details for connections between databases, models, metadata, and data sources. Organizations can obtain a clear understanding of where their data originated, where it is used, and what the data actually means.

Extract and Integrate Complex Metadata

If you are working with ERP or CRM software such as SAP and Salesforce and wish to integrate the source metadata into your data models, IDERA offers Safyr® solutions to handle this quickly. Safyr analyzes the complex structures of these applications, extracts important metadata from ERP, CRM and other enterprise applications, and exports it into a model file that can be brought into ER/Studio Data Architect.

Merits of the Model Repository

The Model Repository for ER/Studio Data Architect Professional provides modelers with real-time collaboration features for sharing and re-using assets across data modeling projects. ER/Studio Data Architect users can connect to the same repository to work on models simultaneously and leverage features including an enterprise data dictionary (EDD), version control, and change management. Repository-based collaborative modeling provides modeling teams significant advantages, including:

  • Controlled access to data models and projects in a collaborative environment
  • Ability to display, access, and reuse common elements across models
  • Granular check-out and check-in of diagrams, sub-models, and objects
  • Conflict resolution at check-in to eliminate model differences
  • Alignment of modeling changes to development tasks and workflows
  • Clear and effective change tracking and audit trail for compliance
  • Version management for objects and models with named releases
  • Secure access to all assets to maintain data model integrity and privacy
Compare ER/Studio Editions

ER/Studio Data Architect is available in two editions: The standard ER/Studio Data Architect edition is the feature-rich tool with extensive data modeling capabilities across multiple relational and big data platforms, along with import bridges for other common modeling tools. The ER/Studio Data Architect Professional edition also includes the model repository for version control and agile change management.

Want to see which version of ER/Studio Data Architect is right for you or looking for next level of collaboration with business glossaries and metadata? Compare ER/Studio Data Architect with ER/Studio Enterprise Team Edition

Enterprise Model Management

Forward and Reverse Engineering

Generate physical data models from existing database designs. Construct graphical models from existing database or schema, for both relational and big data platforms. Easily apply design changes with formulated alter code

Universal Mappings

Map between and within conceptual, logical and physical model objects to trace objects upstream or downstream, using the repository, and specify metadata such as definitions, notes, and attachments

Data Dictionary Standardization

Define and enforce standard data elements, naming standards and reference values for use across and between data models

Advanced Compare and Merge

Enable advanced bi-directional comparisons and merges of models and database structures

Business Data Objects

Represent master data and transactional concepts with multiple entities and relationships, such as products, customers, and vendors

Submodel Management

Allow creation of multi-leveled submodels, merge submodel properties across existing models and synchronize submodel hierarchies

Naming Standards

Assign a naming standards template to models, submodels, entities and attributes for automatic application between logical and physical models

Automatic Migration of Foreign Keys

Maintain foreign keys to ensure referential integrity in database designs

”Where Used” Analysis

Display mappings between logical entities and attributes to their implementation across physical designs

Model Completion Validation

Automate model reviews and enforce standards by validating for missing object definitions, unused domains, identical indexes and circular relationships

Data Integration

Visual Data Lineage

Visually document source/target mapping and sourcing rules using a drag-and-drop interface to understand Extraction, Transformation, and Load (ETL) data movement across systems

Source-to-target Mapping

View the relationships between the source and target, how the data flows from one table to another, and how the data is transformed

Dimensional Modeling

Leverage complex star and snowflake schema designs and support importing rich dimensional metadata from BI and data warehouse platforms

Metadata Integration

Import and export metadata from BI Platforms, UML and data modeling solutions, XML Schemas and CWM (Common Warehouse Metamodel) to create a metadata hub

Security Management

Data Classification

Categorize and label objects according to the level of security and privacy

Permission Management

Enable user, role and group permissions at logical and physical level

Security Attributes

Define data security types and properties to be observed and enforced for compliance

Security Center Groups

Streamline security administration with local or LDAP groups improving productivity and reducing errors

Repository

Concurrent Model and Object Access

Allows real-time collaboration between modelers working on data models down to the model object level with token-based check-in/check-out

Version Management

Manages the individual histories of models and model objects to ensure incremental comparison between, and rollback to, desired diagrams

Component Sharing and Reuse

Predefined Enterprise Data Dictionary eliminates data redundancy and enforces data element standards

Agile Change Management

Assign and track tasks associated with data models to align changes to user stories and development workflows.

Design Environment

Advanced Graphics and Layout

Automatically create highly readable, highly navigable diagrams with one or a combination of layouts

Automated and Custom Transformation

Streamlines the derivation of one or more physical designs from a logical one and checks for normalization and compliance with the target database

Rich Text Editing

Easily edit text in data object fields, with integrated spell-checking, embedded hyperlinks, and text wrapping.

Extensible Automation Interface

Automate tedious, routine tasks such as coloring tables, enforcing and applying naming standards, globally up-date storage parameters and integrate with desktop applications

Multiple Reporting Formats

Publish models and reports in a variety of formats including HTML, RTF, XML Schema, PNG, JPEG and DTD Output

System Requirements

Minimum hardware requirements:
  • 4GB RAM
  • 2.5GB disk space
Supported Operating Systems:
  • Windows 7-10 (64-bit)
Native connections:
  • Db2 (LUW and z/OS)
  • Oracle
  • Azure SQL Database
  • SQL Server
  • SQL Server in Azure and AWS VMs
  • Sybase
  • MongoDB
  • Hadoop Hive
  • ODBC Connections
Supported Platforms:
  • Firebird® 1.5, 2.x
  • Greenplum 4.2
  • Hitachi HiRDB
  • Hadoop Hive 0.12, 0.13
  • IBM® Db2® for z/OS 5.x – 11.x
  • IBM Db2 for LUW 5.x – 10.x
  • IBM Db2 for iSeries V4R5 and V5R2
  • IBM Informix® OnLine and SE
  • Informix 9.x dynamic server
  • InterBase® 4, 2007, 2009
  • InterBase XE, XE3
  • Microsoft® Access 2.0, 95, 97, 2000
  • Microsoft Azure SQL Database
  • Microsoft SQL Server 6.5, 7, 2000, 2005, 2008, 2012, 2014, 2016, 2017
  • Microsoft SQL Server on Azure
  • Microsoft Visual FoxPro® 2, 3, 5
  • MongoDB 2.6, 3.0, 3.2, 3.4, 3.6
  • MySQL® 3.x, 4.x, 5.x
  • Netezza 4.6, 5.0, 6.0, 7.0
  • Oracle® 7.3, 8.x, 9i, 10g, 11g, 12c
  • PostgreSQL 8.x, 9.x
  • Sybase® Adaptive Server® Enterprise (ASE) 11.9.2, 12.x, 12.5, 15.0
  • Sybase Adaptive Server Anywhere (ASA) 5, 6, 7, 8, 9, 10
  • Sybase IQ 12.x, 15.x, 16.x
  • Sybase Watcom SQL
  • Teradata® V2R4, V2R5, V2R6, 12, 13.0, 14.x, 15.10

ER/Studio Data Architect also includes common model import bridges.

DATA ARCHITECT PROFESSIONAL – REPOSITORY REQUIREMENTS

NOTE: The DA-Pro Repository must be installed on a separate server.

Supported Operating Systems
  • Windows Server 2012 – 2016
Supported Database Platforms
  • Microsoft SQL Server 2012–2017
  • Oracle 11g – 12cR2

Version History

Version 18.1

Numerous bug fixes and usability enhancements, including:

  • Business Data Object usage
  • Installation issues
  • Object editor dialogue pop-ups
  • Repository properties and model check-in process
Version 18.0

Enhancements and bug fixes including:

  • Selectable SQL Server driver for Forward and Reverse Engineering.
  • Oracle 12cR2 has been certified as a deployment platform for the DA Professional repository.
  • Db2 is no longer available as a supported repository hosting platform.
  • Corrected behavior to eliminate synchronization error when checking diagrams into the DA Professional repository.
  • Improved repository database connection verification is provided within the repository configuration screens.
  • Updated repository password encryption.
  • Documentation updates for repository connection options.
  • Corrected inconsistencies in initial vs up-date repository configuration.
  • It is no longer necessary to uninstall and re-install the Repository when upgrading from 16.1 or later versions. The installer will now detect an existing version and upgrade in place.
Version 17.1
  • Add SQL Server 2017 support for modeling and repository platform
  • Extend MongoDB platform support up to version 3.6
  • Support for repository on Windows Server 2016 OS
  • Multiple bug fixes
Version 17.0
  • Updates for several MetaWizard common model bridges
  • Numerous bug fixes
Version 16.5
Data Modeling and Lineage
  • Universal Mappings enhancements
  • Improved relationship diagramming
Database Platform Support
  • Db2 for z/OS v11.x support
  • SQL Server 2016 support
Change Management
  • Model change management enhancements
User Experience
  • Spell check and revisable text format of editable descriptions
  • Relationship color inheritance
  • Token-based repository check-out and check-in
Version 16.0
  • Represent master data and transactional concepts with Business Data Objects
  • Assign naming standards to models and submodels
  • Provide product usage statistics on application use (optional)
  • Additional platform support for Azure and Teradata
null

ER/Studio Data Architect Datasheet

Everything you need to know, all in one downloadable PDF.
DOWNLOAD THE DATASHEET
null

The Word on the Streets

See what our customers say about ER/Studio Data Architect.
DOWNLOAD THE PRODUCT REVIEW PDF
null

View a Democast

Let a pro show you some tips and tricks, live and free!
REGISTER FOR A DEMOCAST
Compare the top data modeling tools

IDERA is focused on delivering the industry’s most complete solution for data modeling. ER/Studio offers enterprise-class capabilities with features superior to or not available in other products.

Compare, side by side, the features and functionalities of the best data modeling tools the market has to offer. Download a free trial today!

ER/Studio Data Architect Professional erwin Data Modeler Workgroup Ed. PowerDesigner DataArchitect/RE
Database modeling – logical and physical
Unlimited nested sub-model capability
Dimensional modeling with properties
Enterprise data dictionary
Universal mappings (linking of instances across models)
Business Data Objects
Full macro programming language
Entity-level checkout and edit granularity
Model branch, compare, and bi-directional merge
Model repository – version control and collaboration
Model change management with referenced tasks/requirements
All major relational DBMS platforms
Data warehouse platforms
Big data platforms
Extended relational notation for embedded objects and arrays (MongoDB)
User-defined metadata extensions
User-defined security and governance properties

Several industry reviews have recognized the strengths of ER/Studio, and have called out specific capabilities such as:

FeatureDescription
ExtensibilityFlexible attachments and data dictionary
Compare / MergeEasiest and most automated
Macro LanguageStandard language; more capabilities and options
Mapping & LinkingFlexible mapping and linking for traceability
Ease of UseConsistent behavior across product

Read more about how ER/Studio compares to erwin!

ER/Studio Data Architect Product Tour

Document, design, and communicate data assets faster and easier : Round-trip database support gives ER/Studio Data Architect users the power to easily reverse- and forward-engineer, compare and merge, and visually document data assets across multiple relational, NoSQL, and ETL platforms and data sources. Built-in facilities automate routine data modeling tasks so users can analyze and optimize database and data warehouse designs faster than ever.

Group multiple entities aligned to a specific area into a Business Data Object : Create Business Data Objects by assigning one or more related entities to a BDO. You can easily view attributes, definitions, or other information about the entities in the objects. These BDOs now become reusable objects that can be used in other submodels within the model. You can quickly expand or collapse a Business Data Object (BDO) to simplify the model view for different audiences.

Easily compare differences between two data models or databases, and merge changes between them : ER/Studio Data Architect’s Compare and Merge wizard helps you reduce duplication and risk associated with multiple data sources and platforms. Quickly compare data models and databases to identify differences, and determine whether to merge differences to the source or the target. ER/Studio generates the Alter scripts to implement the changes for a database.

Streamline collaboration on data models in a team environment through a shared repository : The Repository (included with ER/Studio Data Architect Professional) provides a secure and scalable environment for model and object version management and change management. Data modeling teams can check-out and check-in portions of the same model to work collaboratively within the repository, and easily identify which model objects have been checked in using the model explorer tree.

Manage and track model changes against user stories or tasks : In ER/Studio Data Architect Professional, data modelers can create change records to represent user stories or tasks aligned to the development workflow and associate them to models stored in the Repository. Object check-in and check-out within the Repository can be linked to a specific change record stored in the Change Management Center.

Choose your ER/Studio Data Architect Edition

CapabilityER/Studio Data ArchitectER/Studio Data Architect Professional
Logical and Physical Data Modeling
Data Dictionaries LocalLocal and Enterprise
Dimensional Modeling
Visual Data Lineage / Data Flow Modeling
Concurrent Model and Object Access via Model Repository
Model Change Management
Universal Mappings
Version Control (with Branch and Merge)

ER/Studio Data Architect is available in two editions:

The standard ER/Studio Data Architect edition is the feature-rich tool with extensive data modeling capabilities across multiple relational and big data platforms, along with import bridges for other common modeling tools. ER/Studio Data Architect includes all the features you need to create and manage logical and physical data models, including detailed compare and merge capability, naming standards, data dictionaries, and extensive platform support.

The ER/Studio Data Architect Professional edition has all of those features and also includes the model repository for version control with branch and merge support and model change management. This can benefit larger data modeling teams by facilitating model sharing with the team and helping to manage model versions.

If you’re looking for the next level of collaboration with business glossaries and metadata, check out ER/Studio Enterprise Team Edition.

Overview
ER/Studio Data Architect Use Cases

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

  • Build out a data model as part of a development cycle
  • Discover and document existing assets across the data landscape
  • Create and populate a data warehouse
  • Build out an enterprise data model
  • Catalog metadata for data governance or data quality initiatives
  • Perform an impact analysis of new policies or projected changes to models, databases, or data fields

ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

  • Create effective data models to build a business-driven data architecture
  • Document and enhance existing databases to reduce redundancy
  • Implement naming standards to improve data consistency and quality
  • Effectively share and manage data models across the enterprise
  • Map data sources and trace origins to enhance data lineage
Design Effective Data Models

Data modeling helps organizations make better business decisions with accurately interpreted and rapidly changing data. Model data from relational, NoSQL, big data, BI and ETL sources. Whether you are creating a new model from a conceptual diagram or reverse-engineering from an existing database, IDERA ER/Studio Data Architect is a powerful tool that helps you easily and effectively design and manage your logical and physical data models.

Build a Business-driven Data Architecture

Data professionals need to ensure that everyone in the organization understands what the data is and can explain it in business terms. ER/Studio Data Architect provides an easy-to-use visual interface for data modeling professionals to document, understand, and publish information about data models and databases so they can support business objectives.

Reduce Redundancy

Import and reverse-engineer content from multiple data sources into logical and physical data models, and integrate the elements into reusable constructs with an enterprise data dictionary. Easily compare and merge differences between data models and databases to reconcile changes. Leverage rich text editing along with relationship font and color inheritance to enhance model content and appearance.

Improve Data Consistency and Quality

Assign a naming standards template to your model, submodel, entities, and attributes. Those naming standards will be applied automatically between the logical and physical models, simplifying the data modeling process and ensuring consistency between models. With Data Architect Professional, you can also integrate model elements into reusable constructs via a built-in enterprise data dictionary.

Share and Manage Enterprise Data Models

The multi-level design layers in ER/Studio Data Architect allow for the accurate visualization of data. Manage data model version control and share data assets in the repository included with Data Architect Professional. Create and track tasks and view changes to data models aligned to agile development methodologies.

Enhance Data Lineage

Universal mappings provide links between instances of the same concept across models and databases to enhance traceability, and data lineage diagrams show the source, target, and transformation details for connections between databases, models, metadata, and data sources. Organizations can obtain a clear understanding of where their data originated, where it is used, and what the data actually means.

Extract and Integrate Complex Metadata

If you are working with ERP or CRM software such as SAP and Salesforce and wish to integrate the source metadata into your data models, IDERA offers Safyr® solutions to handle this quickly. Safyr analyzes the complex structures of these applications, extracts important metadata from ERP, CRM and other enterprise applications, and exports it into a model file that can be brought into ER/Studio Data Architect.

Merits of the Model Repository

The Model Repository for ER/Studio Data Architect Professional provides modelers with real-time collaboration features for sharing and re-using assets across data modeling projects. ER/Studio Data Architect users can connect to the same repository to work on models simultaneously and leverage features including an enterprise data dictionary (EDD), version control, and change management. Repository-based collaborative modeling provides modeling teams significant advantages, including:

  • Controlled access to data models and projects in a collaborative environment
  • Ability to display, access, and reuse common elements across models
  • Granular check-out and check-in of diagrams, sub-models, and objects
  • Conflict resolution at check-in to eliminate model differences
  • Alignment of modeling changes to development tasks and workflows
  • Clear and effective change tracking and audit trail for compliance
  • Version management for objects and models with named releases
  • Secure access to all assets to maintain data model integrity and privacy
Compare ER/Studio Editions

ER/Studio Data Architect is available in two editions: The standard ER/Studio Data Architect edition is the feature-rich tool with extensive data modeling capabilities across multiple relational and big data platforms, along with import bridges for other common modeling tools. The ER/Studio Data Architect Professional edition also includes the model repository for version control and agile change management.

Want to see which version of ER/Studio Data Architect is right for you or looking for next level of collaboration with business glossaries and metadata? Compare ER/Studio Data Architect with ER/Studio Enterprise Team Edition

Details

Enterprise Model Management

Forward and Reverse Engineering

Generate physical data models from existing database designs. Construct graphical models from existing database or schema, for both relational and big data platforms. Easily apply design changes with formulated alter code

Universal Mappings

Map between and within conceptual, logical and physical model objects to trace objects upstream or downstream, using the repository, and specify metadata such as definitions, notes, and attachments

Data Dictionary Standardization

Define and enforce standard data elements, naming standards and reference values for use across and between data models

Advanced Compare and Merge

Enable advanced bi-directional comparisons and merges of models and database structures

Business Data Objects

Represent master data and transactional concepts with multiple entities and relationships, such as products, customers, and vendors

Submodel Management

Allow creation of multi-leveled submodels, merge submodel properties across existing models and synchronize submodel hierarchies

Naming Standards

Assign a naming standards template to models, submodels, entities and attributes for automatic application between logical and physical models

Automatic Migration of Foreign Keys

Maintain foreign keys to ensure referential integrity in database designs

”Where Used” Analysis

Display mappings between logical entities and attributes to their implementation across physical designs

Model Completion Validation

Automate model reviews and enforce standards by validating for missing object definitions, unused domains, identical indexes and circular relationships

Data Integration

Visual Data Lineage

Visually document source/target mapping and sourcing rules using a drag-and-drop interface to understand Extraction, Transformation, and Load (ETL) data movement across systems

Source-to-target Mapping

View the relationships between the source and target, how the data flows from one table to another, and how the data is transformed

Dimensional Modeling

Leverage complex star and snowflake schema designs and support importing rich dimensional metadata from BI and data warehouse platforms

Metadata Integration

Import and export metadata from BI Platforms, UML and data modeling solutions, XML Schemas and CWM (Common Warehouse Metamodel) to create a metadata hub

Security Management

Data Classification

Categorize and label objects according to the level of security and privacy

Permission Management

Enable user, role and group permissions at logical and physical level

Security Attributes

Define data security types and properties to be observed and enforced for compliance

Security Center Groups

Streamline security administration with local or LDAP groups improving productivity and reducing errors

Repository

Concurrent Model and Object Access

Allows real-time collaboration between modelers working on data models down to the model object level with token-based check-in/check-out

Version Management

Manages the individual histories of models and model objects to ensure incremental comparison between, and rollback to, desired diagrams

Component Sharing and Reuse

Predefined Enterprise Data Dictionary eliminates data redundancy and enforces data element standards

Agile Change Management

Assign and track tasks associated with data models to align changes to user stories and development workflows.

Design Environment

Advanced Graphics and Layout

Automatically create highly readable, highly navigable diagrams with one or a combination of layouts

Automated and Custom Transformation

Streamlines the derivation of one or more physical designs from a logical one and checks for normalization and compliance with the target database

Rich Text Editing

Easily edit text in data object fields, with integrated spell-checking, embedded hyperlinks, and text wrapping.

Extensible Automation Interface

Automate tedious, routine tasks such as coloring tables, enforcing and applying naming standards, globally up-date storage parameters and integrate with desktop applications

Multiple Reporting Formats

Publish models and reports in a variety of formats including HTML, RTF, XML Schema, PNG, JPEG and DTD Output

Tec Specs

System Requirements

Minimum hardware requirements:
  • 4GB RAM
  • 2.5GB disk space
Supported Operating Systems:
  • Windows 7-10 (64-bit)
Native connections:
  • Db2 (LUW and z/OS)
  • Oracle
  • Azure SQL Database
  • SQL Server
  • SQL Server in Azure and AWS VMs
  • Sybase
  • MongoDB
  • Hadoop Hive
  • ODBC Connections
Supported Platforms:
  • Firebird® 1.5, 2.x
  • Greenplum 4.2
  • Hitachi HiRDB
  • Hadoop Hive 0.12, 0.13
  • IBM® Db2® for z/OS 5.x – 11.x
  • IBM Db2 for LUW 5.x – 10.x
  • IBM Db2 for iSeries V4R5 and V5R2
  • IBM Informix® OnLine and SE
  • Informix 9.x dynamic server
  • InterBase® 4, 2007, 2009
  • InterBase XE, XE3
  • Microsoft® Access 2.0, 95, 97, 2000
  • Microsoft Azure SQL Database
  • Microsoft SQL Server 6.5, 7, 2000, 2005, 2008, 2012, 2014, 2016, 2017
  • Microsoft SQL Server on Azure
  • Microsoft Visual FoxPro® 2, 3, 5
  • MongoDB 2.6, 3.0, 3.2, 3.4, 3.6
  • MySQL® 3.x, 4.x, 5.x
  • Netezza 4.6, 5.0, 6.0, 7.0
  • Oracle® 7.3, 8.x, 9i, 10g, 11g, 12c
  • PostgreSQL 8.x, 9.x
  • Sybase® Adaptive Server® Enterprise (ASE) 11.9.2, 12.x, 12.5, 15.0
  • Sybase Adaptive Server Anywhere (ASA) 5, 6, 7, 8, 9, 10
  • Sybase IQ 12.x, 15.x, 16.x
  • Sybase Watcom SQL
  • Teradata® V2R4, V2R5, V2R6, 12, 13.0, 14.x, 15.10

ER/Studio Data Architect also includes common model import bridges.

DATA ARCHITECT PROFESSIONAL – REPOSITORY REQUIREMENTS

NOTE: The DA-Pro Repository must be installed on a separate server.

Supported Operating Systems
  • Windows Server 2012 – 2016
Supported Database Platforms
  • Microsoft SQL Server 2012–2017
  • Oracle 11g – 12cR2

Version History

Version 18.1

Numerous bug fixes and usability enhancements, including:

  • Business Data Object usage
  • Installation issues
  • Object editor dialogue pop-ups
  • Repository properties and model check-in process
Version 18.0

Enhancements and bug fixes including:

  • Selectable SQL Server driver for Forward and Reverse Engineering.
  • Oracle 12cR2 has been certified as a deployment platform for the DA Professional repository.
  • Db2 is no longer available as a supported repository hosting platform.
  • Corrected behavior to eliminate synchronization error when checking diagrams into the DA Professional repository.
  • Improved repository database connection verification is provided within the repository configuration screens.
  • Updated repository password encryption.
  • Documentation updates for repository connection options.
  • Corrected inconsistencies in initial vs up-date repository configuration.
  • It is no longer necessary to uninstall and re-install the Repository when upgrading from 16.1 or later versions. The installer will now detect an existing version and upgrade in place.
Version 17.1
  • Add SQL Server 2017 support for modeling and repository platform
  • Extend MongoDB platform support up to version 3.6
  • Support for repository on Windows Server 2016 OS
  • Multiple bug fixes
Version 17.0
  • Updates for several MetaWizard common model bridges
  • Numerous bug fixes
Version 16.5
Data Modeling and Lineage
  • Universal Mappings enhancements
  • Improved relationship diagramming
Database Platform Support
  • Db2 for z/OS v11.x support
  • SQL Server 2016 support
Change Management
  • Model change management enhancements
User Experience
  • Spell check and revisable text format of editable descriptions
  • Relationship color inheritance
  • Token-based repository check-out and check-in
Version 16.0
  • Represent master data and transactional concepts with Business Data Objects
  • Assign naming standards to models and submodels
  • Provide product usage statistics on application use (optional)
  • Additional platform support for Azure and Teradata
Resources
null

ER/Studio Data Architect Datasheet

Everything you need to know, all in one downloadable PDF.
DOWNLOAD THE DATASHEET
null

The Word on the Streets

See what our customers say about ER/Studio Data Architect.
DOWNLOAD THE PRODUCT REVIEW PDF
null

View a Democast

Let a pro show you some tips and tricks, live and free!
REGISTER FOR A DEMOCAST
Compare
Compare the top data modeling tools

IDERA is focused on delivering the industry’s most complete solution for data modeling. ER/Studio offers enterprise-class capabilities with features superior to or not available in other products.

Compare, side by side, the features and functionalities of the best data modeling tools the market has to offer. Download a free trial today!

ER/Studio Data Architect Professional erwin Data Modeler Workgroup Ed. PowerDesigner DataArchitect/RE
Database modeling – logical and physical
Unlimited nested sub-model capability
Dimensional modeling with properties
Enterprise data dictionary
Universal mappings (linking of instances across models)
Business Data Objects
Full macro programming language
Entity-level checkout and edit granularity
Model branch, compare, and bi-directional merge
Model repository – version control and collaboration
Model change management with referenced tasks/requirements
All major relational DBMS platforms
Data warehouse platforms
Big data platforms
Extended relational notation for embedded objects and arrays (MongoDB)
User-defined metadata extensions
User-defined security and governance properties

Several industry reviews have recognized the strengths of ER/Studio, and have called out specific capabilities such as:

FeatureDescription
ExtensibilityFlexible attachments and data dictionary
Compare / MergeEasiest and most automated
Macro LanguageStandard language; more capabilities and options
Mapping & LinkingFlexible mapping and linking for traceability
Ease of UseConsistent behavior across product

Read more about how ER/Studio compares to erwin!

Tour

ER/Studio Data Architect Product Tour

Document, design, and communicate data assets faster and easier : Round-trip database support gives ER/Studio Data Architect users the power to easily reverse- and forward-engineer, compare and merge, and visually document data assets across multiple relational, NoSQL, and ETL platforms and data sources. Built-in facilities automate routine data modeling tasks so users can analyze and optimize database and data warehouse designs faster than ever.

Group multiple entities aligned to a specific area into a Business Data Object : Create Business Data Objects by assigning one or more related entities to a BDO. You can easily view attributes, definitions, or other information about the entities in the objects. These BDOs now become reusable objects that can be used in other submodels within the model. You can quickly expand or collapse a Business Data Object (BDO) to simplify the model view for different audiences.

Easily compare differences between two data models or databases, and merge changes between them : ER/Studio Data Architect’s Compare and Merge wizard helps you reduce duplication and risk associated with multiple data sources and platforms. Quickly compare data models and databases to identify differences, and determine whether to merge differences to the source or the target. ER/Studio generates the Alter scripts to implement the changes for a database.

Streamline collaboration on data models in a team environment through a shared repository : The Repository (included with ER/Studio Data Architect Professional) provides a secure and scalable environment for model and object version management and change management. Data modeling teams can check-out and check-in portions of the same model to work collaboratively within the repository, and easily identify which model objects have been checked in using the model explorer tree.

Manage and track model changes against user stories or tasks : In ER/Studio Data Architect Professional, data modelers can create change records to represent user stories or tasks aligned to the development workflow and associate them to models stored in the Repository. Object check-in and check-out within the Repository can be linked to a specific change record stored in the Change Management Center.

Data Architect Editions

Choose your ER/Studio Data Architect Edition

CapabilityER/Studio Data ArchitectER/Studio Data Architect Professional
Logical and Physical Data Modeling
Data Dictionaries LocalLocal and Enterprise
Dimensional Modeling
Visual Data Lineage / Data Flow Modeling
Concurrent Model and Object Access via Model Repository
Model Change Management
Universal Mappings
Version Control (with Branch and Merge)

ER/Studio Data Architect is available in two editions:

The standard ER/Studio Data Architect edition is the feature-rich tool with extensive data modeling capabilities across multiple relational and big data platforms, along with import bridges for other common modeling tools. ER/Studio Data Architect includes all the features you need to create and manage logical and physical data models, including detailed compare and merge capability, naming standards, data dictionaries, and extensive platform support.

The ER/Studio Data Architect Professional edition has all of those features and also includes the model repository for version control with branch and merge support and model change management. This can benefit larger data modeling teams by facilitating model sharing with the team and helping to manage model versions.

If you’re looking for the next level of collaboration with business glossaries and metadata, check out ER/Studio Enterprise Team Edition.

No credit card required. Fully functional for 14 days!

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Includes first year of maintenance.

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No credit card required. Fully functional for 14 days!