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Omada Identity is an identity governance and administration (IGA) solution designed to help organizations manage and secure digital identities and access across their IT environments. It focuses on enhancing security, compliance, and efficiency by automating identity management processes.
Omada Identity offers a robust set of features that streamline identity lifecycle management, access governance, and compliance reporting. It integrates with a wide range of IT systems, applications, and data sources, providing a centralized platform for managing user identities and access rights. The solution enables organizations to enforce security policies, ensure regulatory compliance, and reduce the risk of unauthorized access.
What are the critical features of Omada Identity?
What benefits or ROI items should users look for in the reviews when evaluating Omada Identity?
Omada Identity is widely adopted across various industries, including healthcare, finance, and manufacturing. In healthcare, it helps protect patient data and comply with regulations like HIPAA. In finance, it ensures compliance with SOX and other financial regulations. In manufacturing, it secures access to sensitive production data and intellectual property.
Pricing and licensing for Omada Identity are typically based on the number of users and the specific features required. Customer support is available through various channels, including online resources, support tickets, and professional services for implementation and customization.
In summary, Omada Identity is a comprehensive IGA solution that enhances security, compliance, and efficiency in managing digital identities and access.
Compact Identity is a solution developed by ILANTUS that solves the identity and access related issues of SMBs (up to 3000 users). It is a complete solution with Access Management, ULM and AG. It includes access governance for audits and compliance and everything from single sign-on to password management and birth-right to access request based account provisioning.
Most solutions on the market are 'one-size-fits-all' and are bloated with features that SMBs will never use. Due this, they are overly complex, have long implementation times, and are very expensive. Compact Identity was built with 18 years of feedback from SMB customers specifically for the segment with a vision of bringing affordable and appropriate IAM to them.
It also sports patented (and unavailable elsewhere) Single Sign-On and Provisioning to thick-client apps (among other unique features.)
ViaSQL enables powerful data extraction from complex sources through standard SQL queries. It provides direct access to all your system databases, allowing teams to seamlessly manage enterprise data with ease. The powerful tool opens bi-directional access to both mainframe and distributed data sources, enabling rapid web and cloud application development. Gone are the days of complex and time-consuming legacy data management practices!
Direct Access to Data Sources
With ViaSQL, you can directly access mainframe data using ODBC or JDBC. The native read/write conversion functionality allows you to access both relational and non-relational databases with SQL queries, so your teams don’t need to know anything about mainframe databases.
Call Out From Mainframe Applications
ViaSQL also makes outbound calls from legacy applications by providing COBOL and PL/I access to distributed data sources. It allows for true bi-directional data access from the mainframe without the need to modify any legacy system code.
Bulk Transfer Capabilities
ViaSQL allows you to move large amounts of data between the mainframe and relational databases. It eliminates the need for other expensive and complex Extract, Transform, and Load (ETL) systems when copying mainframe data to modern data lakes and warehouses.
Combine Direct and Indirect Data Sources
When used with Adaptive Integration Fabric, ViaSQL allows you to combine direct and indirect data sources by creating workflows that pull data via mainframe applications, as well as directly from data sources. This allows users to not only create highly efficient data extraction systems but also expose data to modern systems such as REST or SOAP APIs.
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