Predictly 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.

High-Performance Data Engineering. 100% Sovereign. TIMi delivers the full power of a enterprise data cloud—on-premises, fully sovereign, and blisteringly fast. No vendor lock-in. No hidden costs. Just pure engineering excellence that gives your team total freedom to experiment, innovate, and solve your toughest AI and automation challenges in record time. The TIMi Advantages: No-Code Integration: Automate complex workflows and connect your entire tech stack instantly—from SAP and Salesforce to SharePoint and Google BigTable. Radical Efficiency: Competitors such as Databricks, Dataiku, and MS Fabric relies heavily on a Spark back-end. Spark quickly burns budget because of bloated Java virtual machines. TIMi strips away the waste with pure, bare-metal, hand-optimized assembly code. The result: A single €2k TIMi server outperforms a 267-node Spark cluster, processing billions of rows in seconds and effortlessly running petabyte-scale data lakes at a fraction of the cost. Pioneering AI: Harness advanced machine learning built on the legacy of the first Auto-ML engine (pioneered in 2007). Available on-premises or via our EU-Hosted Sovereign Cloud. Trusted across Telecoms, Banking, Manufacturing, Retail, Defense, and Government.

Teradata VantageCloud: The Complete Cloud Analytics and AI Platform VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward. VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve. By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.