dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.
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DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
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MANTA
Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows.
Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.
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SCIKIQ
Every CXO wants one view of the enterprise: costs, revenue, and growth, in one place, in real time.
SCIKIQ powers that enterprise 360, in detail, on governed data.
SCIKIQ is an enterprise data fabric platform that unifies data integration, data quality, data governance, and master data management and makes data AI-ready through a semantic layer built on ontologies and knowledge graphs.
Instead of moving data into yet another warehouse, SCIKIQ connects to systems where they are and applies governance, lineage, and business context on top.
No migration. No rip-and-replace.
What's inside:
167+ pre-built connectors — SAP, Snowflake, Oracle, Kafka, and more
Data catalog with automated data lineage and active metadata
No-code ETL, orchestration, and data quality management
Semantic layer with ontologies and knowledge graphs for AI-ready business context
Agentic AI and conversational analytics — business users query governed data in plain language
Data Product Factory and internal data marketplace — package governed datasets into reusable data products
Data observability — catch schema changes, quality drift, and pipeline failures before they hit reports
Security and compliance: role-based access, column- and row-level security, audit trails, and policy automation for GDPR, India's DPDP Act, and regulated industries like banking and healthcare.
Deploys cloud-agnostic — AWS, Azure, GCP, or on-premises, and works alongside existing investments in Power BI, Tableau, and dbt rather than replacing them. API access included.
Live in 30–90 days.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10.
Trusted by enterprises in banking, financial services, retail, manufacturing, and supply chain.
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