
Accelerate your data initiatives 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, and blended modeling strategies that combine best practices from across methodologies.
Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle.
Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails.
Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks.
By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
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SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, UK and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI, Healthcare and others
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Dromo
Dromo is an efficient data file importer that offers a quick-deploy, self-service solution for users to upload files in various formats, including CSV, XLS, and XLSX. This platform features an intuitive embeddable importer that assists users in validating, cleaning, and transforming their data files, ultimately delivering high-quality results in the desired format. The AI-powered column matching functionality greatly simplifies the process of integrating imported data with existing schemas, while Dromo's strong validation mechanisms ensure smooth compatibility with your application. Prioritizing security, Dromo includes a private mode that processes data entirely within the user's browser, allowing direct uploads to cloud storage without third-party involvement. Furthermore, it is both SOC 2 certified and GDPR-compliant, demonstrating a commitment to data privacy and security at every level. Alongside its robust security measures, Dromo offers extensive customization options to reflect your brand identity and supports multiple languages to meet the diverse needs of users. The combination of these features positions Dromo as a highly adaptable tool for effective data management, making it suitable for businesses of all sizes. As the landscape of data handling continues to evolve, Dromo remains committed to enhancing user experience and functionality.
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WeTransform
WeTransform addresses a structural challenge faced by every B2B SaaS: the impossibility of forcing customers and partners to provide data in a single predefined format. CSVs arrive with inconsistent headers, Excels carry merged cells, PDFs hide tables, legacy ERP exports produce custom XML schemas, and each new client multiplies the variations.
This is what we call format multiplication. It silently consumes engineering bandwidth, blocks deals during onboarding when prospects cannot align their data quickly enough, and forces support teams to spend mornings reshaping files.
Rather than build another internal parser, B2B SaaS teams embed WeTransform inside their product. Integration takes roughly four lines of JavaScript through the @wetransform/core npm package, with React, Vue, and vanilla JavaScript bindings. An iframe embed with custom domain delivers a white-label experience under the host brand.
End customers upload through the embedded interface. The AI engine performs automatic column matching (AI Mapping), normalizes unstructured documents like PDFs and merged-cell spreadsheets (Autoclean), and fills missing fields by reading row context (Fill the Gaps). Operators describe transformation rules in plain language. Customer engineers can plug in external API calls for validation or enrichment (Power Functions: SIRET checks, address verification, customer ID lookups).
Data lands clean in the SaaS backend via REST API or webhook. Ingestion is multi-channel: API, webhooks, FTP, SFTP, URL polling, email.
Production deployments include Cargoo, Sellermania, Autocab, ING, 23 Prod, Veloris, Senef, Armée du Salut. Onboarding cycles drop from weeks to minutes, engineering recovers about 15 percent of time previously dedicated to parser maintenance, support stops reshaping files. Rated 4.9 out of 5 on G2.
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