AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric.
By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact.
With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows.
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SCIKIQ is a trailblazing no-code data platform that helps organizations integrate, curate, govern, and activate enterprise data across cloud, multi-cloud, hybrid, and on-premises environments. SCIKIQ works with the technology you already run, SAP, Oracle, Salesforce, databases, data lakes, warehouses, SaaS applications, AWS, Azure, and GCP, without forcing a rip-and-replace.
At its heart is Contextual Intelligence. SCIKIQ understands the unique semantics of enterprise data, connecting technical metadata with business definitions, relationships, rules, quality, lineage, and governance. The result is trusted, contextualized data that people, analytics, applications, and AI can understand and use.
SCIKIQ unifies the data lifecycle in one no-code platform:
• Integrate — Connect structured and unstructured data across applications, databases, files, APIs, SAP, and real-time sources using 200+ connectors and no-code pipelines.
• Curate — Profile, clean, transform, standardize, enrich, model, and contextualize data through automated data preparation.
• Govern — Manage metadata, catalog, data quality, lineage, privacy, policies, access, and stewardship across the enterprise.
• Activate — Deliver trusted data to BI, analytics, enterprise applications, data products, machine learning, AI copilots, and intelligent agents.
Instead of stitching together disconnected tools, SCIKIQ brings data integration, ETL, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, data products, and intelligence together on one unified platform. SCIKIQ works on top of your existing data architecture, reducing engineering complexity, bridging skill gaps, and accelerating time to value.
Recognized by Forrester, NASSCOM, YourStory, Inc42, and DataIQ for innovation in enterprise data and intelligence.
SCIKIQ is The No-Code Data Platform That Works for Your Business.
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Kylo
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.
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