QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
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AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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StorPool Storage
StorPool provides a fully managed primary storage platform that businesses can use to host mission-critical workloads from their own datacenters. We make it easy to convert standard servers with NVMe SSDs to high-performance, linearly scaling primary storage systems. StorPool is a superior alternative for high-end SANs or All-Flash Arrays (AFA) and mid-range SANs for companies building private or public clouds. StorPool is more reliable, agile, faster, and more cost-effective than other primary storage products. It is a great replacement for legacy storage architectures such as mid- or high-end primary arrays. Your cloud computing offering will deliver exceptional performance, reliability, and a higher ROI.
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Red Hat OpenShift Data Foundation
Red Hat® OpenShift® Data Foundation, formerly known as Red Hat OpenShift Container Storage, is a software-defined storage solution tailored for containers. Designed as the foundational data and storage services platform for Red Hat OpenShift, it enables teams to swiftly and effectively develop and deploy applications across various cloud environments. Even developers with minimal storage knowledge can easily provision storage directly through Red Hat OpenShift without needing to navigate away from their primary interface. Capable of formatting data in files, blocks, or objects, it caters to a diverse range of workloads generated by enterprise Kubernetes users. Additionally, our specialized technical team is available to collaborate with you to devise a strategy that aligns with your storage requirements for both hybrid and multicloud container deployments, ensuring that your infrastructure is optimized for performance and scalability.
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