Find out what your peers are saying about SAP LeanIX, Sparx Systems, erwin by Quest and others in Enterprise Architecture Management.
The AWS Well-Architected Tool helps you review the state of your workloads and compares them to the latest AWS architectural best practices. The tool is based on the AWS Well-Architected Framework, developed to help cloud architects build secure, high-performing, resilient, and efficient application infrastructure. This Framework provides a consistent approach for customers and partners to evaluate architectures, has been used in tens of thousands of workload reviews conducted by the AWS solutions architecture team, and provides guidance to help implement designs that scale with application needs over time.
IDERA ER/Studio is a powerful suite for business-driven data modeling that enables companies to create an enterprise architecture foundation for data governance. With round-trip support for multiple database platforms, data architects have the power to reverse-engineer, analyze, and optimize existing databases easily from diverse platforms. Data professionals can easily capture and share models, metadata, data sources, and glossaries across the organization for improved alignment between the organization and Information Technology. Organizational stakeholders can take part in the metadata definition workflow and access information on models and metadata at the right level for their needs.
Unlike its competition, it provides the broadest range of data platform support, industry-leading enterprise-level capabilities, visual data lineage and flow modeling, full dimensional modeling for data warehousing and business intelligence, and business data objects to bridge the gap between developers and data architects. It also provides a complete solution for enterprise architecture and data governance, extensive model change management, unique incorporation of true enterprise data dictionaries, unique linking of constructs across models, integrated visual data lineage import, and integrated data and business process modeling.
We monitor all Enterprise Architecture Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.