InProd Verified Customer Reviews (2026)

AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.

Aikido serves as an all-encompassing security solution for development teams, safeguarding their entire stack from the code stage to the cloud. By consolidating various code and cloud security scanners in a single interface, Aikido enhances efficiency and ease of use. This platform boasts a robust suite of scanners, including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning, ensuring comprehensive coverage for security needs. Additionally, Aikido incorporates AI-driven auto-fixing capabilities that minimize manual intervention by automatically generating pull requests to address vulnerabilities and security concerns. Teams benefit from customizable alerts, real-time monitoring for vulnerabilities, and runtime protection features, making it easier to secure applications and infrastructure seamlessly while promoting a proactive security posture. Moreover, the platform's user-friendly design allows teams to implement security measures without disrupting their development workflows.

NuGenesis SDMS functions as an automated data repository that underpins the NuGenesis laboratory management system. This innovative platform effectively integrates various data types generated by instruments, research personnel, and external sources into a singular repository. As a result, scientists and their collaborators can smoothly initiate research projects, share results, and exchange information. The system guarantees the secure collection, indexing, and retention of laboratory-generated data in accordance with regulatory requirements, executing these processes promptly following any creation or modification of data. Furthermore, it streamlines the handling of printed data, including outputs produced by instruments. The system is designed to work with multiple operating systems, such as Microsoft Windows and UNIX, and it transforms data into commonly used non-proprietary interchange formats like IUPAC JCAMP-DX. NuGenesis SDMS excels at detecting new content across servers, projects, and data types, efficiently extracting pertinent metadata to maintain organization. This capability not only boosts productivity but also ensures that critical research data is easily accessible and securely stored, allowing for a more effective collaborative environment. Overall, the platform plays a vital role in enhancing the research process within the laboratory setting.