ER/Studio Data Architect

  • 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. 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 architects need to ensure that everyone in the organization understands what the data is and can explain it in business terms. 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 be better harnessed to 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. Leverage rich text editing along with relationship 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.

Share and Manage Enterprise Data Models

The multi-level design layers in ER/Studio Data Architect allow for the accurate visualization of data, which promotes communication between business and technical users. Manage model version control and share data assets in the repository. Create and track tasks and view changes to data models aligned to agile workflows.

Enhance Data Lineage

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

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 >>

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, 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

Minimum hardware requirements:

  • 2GB RAM, 2.5GB disk space

Supported Operating Systems:

  • Windows 7-10 (32-bit, 64-bit)
  • Windows Server 2008, 2008R2, 2012, 2012R2

Native connections:

  • DB2 (LUW and z/OS)
  • Oracle
  • Azure SQL Database
  • SQL Server
  • SQL Server in Azure 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
  • Microsoft SQL Server on Azure
  • Microsoft Visual FoxPro® 2, 3, 5
  • MongoDB 2.4, 2.6, 3.0
  • 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

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