AnalyticsCreator
Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs.
Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding.
Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow.
Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives.
By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.
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Kubit
Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits.
Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in.
Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic.
With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users.
Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support.
Discover the future of customer analytics at kubit.ai
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DeZign for Databases
Utilize DeZign for Databases to visualize and comprehend your database structures, whether you're building new databases or reverse-engineering current ones for the purpose of modification, documentation, analysis, and optimization. This user-friendly data modeling tool caters to both developers and DBAs, enabling efficient modeling, creation, and maintenance of databases. Through the use of entity relationship diagrams (ERDs), the software facilitates a graphical approach to database design while automatically generating schemas for widely-used database systems like Oracle, MS SQL, MySQL, and PostgreSQL. DeZign for Databases provides an advanced visual environment that streamlines the database development process, significantly minimizing errors and enhancing overall productivity. By employing this tool, you can effortlessly visualize complex database structures and ensure a more effective database management experience. It ultimately empowers users to refine their database strategies and achieve optimal performance.
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Toad Data Modeler
Visualize and comprehend database architectures while recognizing their interconnections. Develop robust logical and physical data models with precision. Reverse engineer current database frameworks to represent them visually in diagrams. Produce comprehensive reports in formats such as HTML, RTF, or PDF. Efficiently construct quality database designs or implement modifications to existing models automatically, supplying documentation across various platforms. Create intricate logical and physical entity-relationship models and facilitate both reverse and forward engineering of databases seamlessly. Connect to numerous databases natively and concurrently, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Maintain synchronization between models and existing databases through Change Script Generations and the Update Model functionalities. Effortlessly convert data architectures from one database platform to another, aiding in business migration efforts. Additionally, generate extensive hyperlinked reports detailing existing database structures in various formats, enhancing accessibility and usability. This comprehensive approach ensures a well-rounded understanding and efficient management of database systems.
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