About
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors.
Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
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About
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE.
SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform.
Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace.
Contextual Intelligence at the Core
SCIKIQ goes beyond connecting data by helping AI understand the business context behind it.
Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI.
Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control.
AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents.
Why Enterprises Choose SCIKIQ
AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming
SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Businesses requiring a solution to manage metadata, ensuring efficient data discovery, observability, and governance across their organization's data assets
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Audience
BFSI, Manufacturing, Logistics, Retail, Healthcare and others
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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PricingIncludes 10 Monthly Active Users, 5 data sources, 50 tables for Data Quality & Observability
Free Version
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Free Trial
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PricingYearly License
Contract Pricing
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationDataHub
United States
hubs.la/Q03PN3Nb0
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Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
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Alternatives |
Alternatives |
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CategoriesAI governance is the defining challenge of this decade—organizations must move fast with AI while managing risk, ensuring fairness, and maintaining regulatory compliance. DataHub provides the foundation for responsible AI through comprehensive visibility and control over AI systems. Track AI lineage from training data through models to predictions, documenting every transformation and decision along the way. Enforce governance policies on AI assets: which data can train which models, who can deploy to production, what documentation is required before release. Monitor AI systems post-deployment for bias, fairness violations, and performance degradation with automated metrics and human-in-the-loop review workflows. DataHub's audit trails provide the evidence required for regulatory compliance, showing exactly how AI systems were built, validated, and monitored. As AI regulation evolves globally, DataHub ensures you're ready. As AI transforms business operations, understanding and governing AI systems becomes mission-critical. DataHub extends beyond traditional data management to provide comprehensive visibility into your AI/ML landscape—from training datasets and feature stores to deployed models and their predictions. Track complete lineage from raw data through feature engineering to model outputs, understanding exactly what data influences each AI decision. Monitor model drift, performance degradation, and data quality issues that impact AI reliability. As regulatory scrutiny of AI increases, DataHub provides the transparency and audit trails required for responsible AI deployment, helping you move fast while maintaining trust and accountability. Context engineering is the practice of systematically capturing, organizing, and delivering the right context to the right systems and people at the right time. DataHub pioneers this discipline by making context a first-class concept in data and AI infrastructure. Every data asset in DataHub carries rich context—not just technical metadata but business meaning, usage patterns, quality indicators, ownership, and relationships. This context powers intelligent systems: LLMs that understand your company's data landscape, recommendation engines that surface relevant datasets, automated workflows that route issues to the right owners. Context engineering transforms metadata from passive documentation into active intelligence that improves every interaction with data. When an analyst searches for customer data, context explains which dataset to trust. DataHub's context engineering approach makes data systems smarter, more autonomous, and more reliable. A data catalog is only valuable if people actually use it—and that requires more than just technical metadata. DataHub delivers an active, collaborative catalog that teams genuinely rely on daily. Automatically discover and index data assets across your entire stack—cloud data warehouses, lakes, databases, BI tools, ML platforms, and more—with real-time updates as your environment evolves. Rich metadata includes not just technical schemas but business context: ownership, documentation, usage patterns, relationships, and quality indicators. DataHub's knowledge graph architecture reveals how data flows through your organization, making impact analysis and root cause investigation trivial. Unlike static catalogs that become outdated the moment they're published, DataHub stays current through automated metadata ingestion and encourages continuous improvement through collaborative editing. Finding the right data shouldn't feel like searching for a needle in a haystack. DataHub's intelligent discovery engine helps users find exactly what they need through natural language search, smart recommendations, and rich contextual information. Search across datasets, dashboards, pipelines, and more with results ranked by relevance, popularity, and your team's usage patterns. Each asset comes with comprehensive context—descriptions, schemas, sample data, usage statistics, and quality indicators—so users can evaluate data fitness before diving in. Collaborative features like discussions, annotations, and documentation make tribal knowledge explicit and searchable. DataHub learns from user behavior, surfacing frequently accessed assets and suggesting related data that others found useful. Whether you're a data scientist hunting for training data, an analyst building a report, or a business user answering an urgent question, DataHub gets you to the right data faster. Effective data governance isn't about locking down data—it's about enabling responsible access at scale. DataHub transforms governance from a bottleneck into an accelerator by providing fine-grained access controls, automated policy enforcement, and transparent audit trails. Define who can discover, view, and modify data assets with role-based permissions that map to your organizational structure. Track every change with immutable audit logs that satisfy compliance requirements for GDPR, HIPAA, SOC 2, and other frameworks. DataHub's metadata-driven approach means governance policies follow your data wherever it moves, from development through production. Automate data classification with smart tagging, identify sensitive information with pattern detection, and ensure downstream consumers understand data quality and freshness. Modern data management requires more than just storing data—it demands intelligent orchestration, clear ownership, and seamless collaboration across teams. DataHub provides a unified platform that brings together all your data assets, from databases and data warehouses to data pipelines and BI dashboards. With automated metadata collection, real-time lineage tracking, and collaborative documentation, teams can finally break down data silos and work from a single source of truth. Whether you're managing petabytes across multi-cloud environments or coordinating between hundreds of data producers and consumers, DataHub gives you the visibility and control you need. Built on an open architecture that integrates with your existing stack, it scales from startups to enterprises handling millions of data assets. Stop wrestling with spreadsheets and tribal knowledge—DataHub automates the heavy lifting so your teams can focus on delivering value from data, not just managing it. You can't fix what you can't see—and in modern data platforms, visibility is the difference between proactive management and crisis response. DataHub provides comprehensive data observability that helps teams detect, diagnose, and resolve data issues before they impact business operations. Monitor data freshness, volume, schema changes, and quality metrics across your entire data estate with intelligent anomaly detection that learns normal patterns and alerts on deviations. When issues arise, DataHub's lineage graph becomes your debugging tool, tracing problems from symptoms back to root causes across complex multi-hop pipelines. Understand blast radius instantly: which dashboards, reports, and ML models are affected by this upstream failure? Integrate with incident management workflows to route issues to the right owners and track resolution. Data quality issues cost organizations millions in bad decisions, failed projects, and customer trust—but traditional approaches rely on reactive firefighting. DataHub brings proactive data quality management into your data platform, catching issues before they impact downstream consumers. Define quality assertions directly on datasets—completeness checks, freshness SLAs, schema validation, statistical anomaly detection—and get instant alerts when violations occur. Track quality metrics over time to identify degradation trends and root causes through end-to-end lineage. DataHub surfaces quality indicators wherever users discover data, so consumers know exactly what they're working with before committing to a dataset. Collaborate around data quality issues with integrated incident management and ownership routing. Metadata is the connective tissue of modern data infrastructure—and managing it effectively determines whether you have clarity or chaos. DataHub provides enterprise-grade metadata management that scales from thousands to millions of entities while remaining fast and intuitive. Ingest metadata from 100+ sources through flexible push and pull mechanisms, normalize it into a unified graph model, and serve it through high-performance APIs. DataHub's metadata model is extensible—add custom properties, entity types, and relationships without code changes. Track metadata evolution over time with full versioning and audit trails, understanding how schemas, ownership, and policies change. Propagate metadata across related entities automatically: tag a dataset, and those tags flow to downstream dashboards. |
CategoriesSCIKIQ is an AI-native Agentic Data Management platform that transforms enterprise data into governed, reusable and AI-ready Data Products. At its core is the SCIKIQ Data Product Factory and Data Marketplace, built to operationalize Data-as-a-Product across the enterprise. The Data Product Factory enables teams and AI Agents to discover, create, govern, enrich and publish Data Products using trusted enterprise data, business context, semantics, quality and lineage. SCIKIQ Data Marketplace provides an internal and external marketplace to discover, share, consume and monetize Data Products, datasets, APIs, KPIs, analytics and AI-ready assets. Key capabilities include Agentic Data Management, Data Products, Data Product Factory, Data Marketplace, Data-as-a-Product, Data Mesh, Self-Service Data, Data Catalog, Data Governance, Data Quality, Data Lineage, Data Semantics, APIs and AI Agents. From raw enterprise data to governed Data Products—built for Analytics, Generative AI and Recognized among the Top 34 AI-Augmented platforms globally by Forrester and ranked among India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ is an AI-native Big Data and enterprise data platform built for the AI era. SCIKIQ connects and unifies data across SAP, databases, data warehouses, data lakes, cloud platforms, enterprise applications, and APIs without requiring organizations to replace or migrate their existing data stack. It creates a trusted, governed and AI-ready data foundation for Big Data, analytics, Business Intelligence, and enterprise AI. Key capabilities include Big Data integration, ETL/ELT, data pipelines, data transformation, data lakehouse, data preparation, data quality, metadata management, data catalog, data governance, data lineage, semantic intelligence, real-time analytics, and AI-powered analytics. With support for cloud, hybrid, and on-premise environments, SCIKIQ helps enterprises move faster to Generative AI and Agentic AI. Recognized among the Top 34 AI-Augmented Business Intelligence platforms globally by Forrester, SCIKIQ is an AI-native Business Intelligence platform built for the next generation of enterprise decision-making. SCIKIQ brings Business Intelligence, enterprise analytics, Conversational AI, dashboards, data integration, governance, semantic intelligence, and Agentic AI together on a unified platform. It enables organizations to transform enterprise data into trusted, contextual, and AI-ready intelligence—without replacing their existing technology stack. Built for enterprise-wide BI, SCIKIQ connects data across SAP, databases, data warehouses, cloud platforms, Power BI, Tableau, and business applications to create a connected intelligence layer. Key capabilities include AI-powered Business Intelligence, Conversational Analytics, Enterprise 360, self-service BI, KPI analytics, semantic intelligence, data visualization, real-time analytics, data governance, data lineage & AI agents SCIKIQ is an AI-native Data Catalog platform built to help enterprises discover, understand, govern and activate data for Analytics and AI. SCIKIQ combines Data Catalog, Data Discovery, Metadata Management, Data Lineage, Data Quality, Business Glossary and Data Semantics in one intelligent platform. Automatically catalog data across SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications. Search and discover datasets, tables, columns, metadata, business terms, KPIs, owners, relationships and lineage from a unified enterprise data catalog. Key capabilities include Automated Data Cataloging, Metadata Discovery, Metadata Management, Business Glossary, Data Classification, Data Profiling, Data Search, Data Lineage, Data Governance, Data Quality and Semantic Layer. SCIKIQ connects technical metadata with business meaning and context, creating a trusted catalog for Data Management, Business Intelligence, Generative AI and Agentic AI. SCIKIQ is an AI-native Data Discovery platform that helps enterprises find, understand, classify and trust data across complex data environments. SCIKIQ combines Data Discovery, Data Catalog, Metadata Management, Data Search, Data Lineage, Data Profiling, Data Classification and Data Semantics in one unified platform. Automatically discover data across SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications. Search and explore datasets, tables, columns, metadata, business terms, KPIs and relationships through intelligent enterprise data discovery. SCIKIQ combines automated metadata discovery with best-in-class Data Lineage, Data Quality and a world-leading Data Semantics practice to provide business context behind enterprise data. Built for Data Discovery, Data Governance, Data Management, Data Cataloging, Business Intelligence, Analytics, Generative AI and Agentic AI. Recognized among the Top 34 AI-Augmented platforms globally by Forrester and India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ is an AI-native Enterprise Data Fabric built ground-up for AI. SCIKIQ creates a unified, intelligent data layer across SAP, databases, data warehouses, data lakes, cloud, APIs and enterprise applications—without migration, replatforming or replacing the existing data stack. SCIKIQ Data Fabric combines Data Integration, ETL/ELT, Data Pipelines, Data Quality, Data Governance, Data Catalog, Metadata Management, Data Lineage, Master Data Management, Data Observability and Data Semantics. Its world-leading Data Semantics practice connects technical data with business context, KPIs, relationships and meaning—creating an AI-ready enterprise data foundation. Built for Data Fabric, Data Management, Business Intelligence, Analytics, Generative AI and Agentic AI. SCIKIQ is ranked alongside leading Data Governance platforms globally, with best-in-class Data Lineage, Data Quality and a world-leading Data Semantics practice. SCIKIQ delivers enterprise Data Governance, automated Data Lineage, Data Quality, Data Catalog, Metadata Management, Business Glossary, Data Discovery, Data Classification, Data Profiling, Data Observability, PII Management, Policy Management, Data Compliance and AI Governance in one platform. Track end-to-end Data Lineage across SAP, databases, data warehouses, data lakes, cloud, ETL pipelines, BI dashboards and enterprise applications. Improve Data Quality through automated profiling, validation, monitoring and quality rules. SCIKIQ Data Semantics connects metadata, business terms, KPIs, relationships and enterprise context to create trusted, AI-ready data. Built for Data Governance, Data Management, Regulatory Compliance, Business Intelligence, Generative AI and Agentic AI. SCIKIQ Data Hub is AI-native Data Management Platform built ground-up for AI and designed to be the fastest path from enterprise data to Enterprise AI. Recognized among the Top 34 AI-Augmented platforms globally by Forrester and India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ connects, governs and activates data across the enterprise. Integrate data from SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications without replatforming or disrupting your existing data stack. Built-in Data Governance, Data Quality, Data Catalog, Metadata Management and Data Lineage create trusted data by design. ETL/ELT, Data Integration, Data Pipelines, Data Transformation, Data Preparation and Semantic Intelligence turn fragmented data into a connected, AI-ready foundation. Built for Analytics, Business Intelligence, Generative AI and Agentic AI, SCIKIQ helps enterprises move from siloed data to trusted intelligence in weeks not years. SCIKIQ delivers best-in-class Data Quality for enterprises that need trusted, accurate and AI-ready data. Built ground-up for AI, SCIKIQ combines Data Quality Management, Data Profiling, Data Cleansing, Data Validation, Data Monitoring and Data Observability across complex enterprise data environments. SCIKIQ provides automated Data Quality Rules, Data Validation, Data Standardization, Data Matching, Deduplication, Data Enrichment, Data Completeness, Accuracy Checks, Consistency Checks, Anomaly Detection and Data Quality Monitoring. Continuously measure and improve data quality across SAP, databases, data warehouses, data lakes, cloud platforms, ETL pipelines and enterprise applications. Integrated Data Lineage, Data Governance, Metadata Management and Data Semantics help identify where quality issues originate and understand their business impact. Trusted Data. Better Analytics. Reliable AI. SCIKIQ is an AI-native ETL and ELT platform for fast, scalable enterprise Data Integration and Data Transformation. Build, automate and manage ETL pipelines across cloud, on-premise and hybrid data environments with no-code and AI-assisted automation. SCIKIQ combines ETL, ELT, Data Pipelines, Data Integration, Data Ingestion, Data Extraction, Data Transformation, Data Loading, Data Mapping, Data Migration, Data Replication, Change Data Capture (CDC), Batch Processing and Real-Time Data Integration. Connect SAP, ERP, CRM, databases, data warehouses, data lakes, SaaS applications, APIs, files and streaming data through 200+ pre-built connectors. Built-in Data Quality, Data Governance, Data Lineage, Metadata Management and Data Observability help create trusted pipelines and AI-ready data. From traditional ETL to modern ELT, real-time pipelines and AI-powered integration, SCIKIQ provides one platform to move, transform and activate enterprise data. SCIKIQ is an AI-native Data Integration platform built to connect, move and transform enterprise data across any system, cloud or environment. From ETL/ELT and real-time data pipelines to SAP Integration and API Integration, SCIKIQ provides a unified platform for modern enterprise data integration. Connect SAP S/4HANA, SAP ECC, databases, data warehouses, data lakes, SaaS applications, APIs, files and streaming sources using 200+ pre-built connectors. Build no-code data pipelines for batch, micro-batch, real-time streaming and Change Data Capture (CDC) across cloud, on-premise and hybrid environments. SCIKIQ also includes an API Hub to create, manage, govern and reuse enterprise APIs, helping organizations connect applications, data and AI services through a common integration layer. With No-code platform & built-in Data Quality, Data Governance, Data Lineage, Observability and AI-assisted automation, SCIKIQ goes beyond traditional ETL software to deliver trusted, AI-ready data. SCIKIQ is an AI-native Master Data Management (MDM) platform built to create trusted, unified and AI-ready master data across the enterprise. SCIKIQ combines Master Data Management, MDM, Data Quality, Data Governance, Data Integration and Data Semantics in one platform. Create a trusted Golden Record and Single Source of Truth across customers, products, suppliers, vendors, employees and other business entities. SCIKIQ supports Customer 360, Product 360, Supplier 360, Multi-Domain MDM, Reference Data Management and Hierarchy Management. Key capabilities include Entity Resolution, Data Matching, Deduplication, Data Cleansing, Data Standardization, Data Validation, Data Enrichment, Data Profiling, Data Stewardship, Metadata Management and Data Lineage. Connect master data across SAP, ERP, CRM, databases, data warehouses, cloud and enterprise applications to power Analytics, Business Intelligence, Generative AI and Agentic AI. |
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Data Discovery Features
Contextual Search
Supported
Data Classification
Supported
Data Matching
Not Supported
False Positives Reduction
Not Supported
Self Service Data Preparation
Supported
Sensitive Data Identification
Supported
Visual Analytics
Supported
Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Not Supported
Email Management
Not Supported
Policy Management
Supported
Process Management
Supported
Roles Management
Supported
Storage Management
Not Supported
Data Management Features
Customer Data
Not Supported
Data Analysis
Supported
Data Capture
Supported
Data Integration
Supported
Data Migration
Not Supported
Data Quality Control
Supported
Data Security
Supported
Information Governance
Supported
Master Data Management
Not Supported
Match & Merge
Not Supported
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Data Discovery Features
Contextual Search
Supported
Data Classification
Supported
Data Matching
Supported
False Positives Reduction
Supported
Self Service Data Preparation
Supported
Sensitive Data Identification
Supported
Visual Analytics
Supported
Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Supported
Email Management
Supported
Policy Management
Supported
Process Management
Supported
Roles Management
Supported
Storage Management
Supported
Data Management Features
Customer Data
Supported
Data Analysis
Supported
Data Capture
Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Supported
Data Security
Supported
Information Governance
Supported
Master Data Management
Supported
Match & Merge
Supported
Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
Big Data Features
Collaboration
Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Supported
Data Warehousing
Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Supported
Templates
Supported
Business Intelligence Features
Ad Hoc Reports
Supported
Benchmarking
Supported
Budgeting & Forecasting
Supported
Dashboard
Supported
Data Analysis
Supported
Key Performance Indicators
Supported
Natural Language Generation (NLG)
Supported
Performance Metrics
Supported
Predictive Analytics
Supported
Profitability Analysis
Supported
Strategic Planning
Supported
Trend / Problem Indicators
Supported
Visual Analytics
Supported
Data Fabric Features
Data Access Management
Supported
Data Analytics
Supported
Data Collaboration
Supported
Data Lineage Tools
Supported
Data Networking / Connecting
Supported
Metadata Functionality
Supported
No Data Redundancy
Supported
Persistent Data Management
Supported
ETL Features
Data Analysis
Supported
Data Filtering
Supported
Data Quality Control
Supported
Job Scheduling
Supported
Match & Merge
Supported
Metadata Management
Supported
Non-Relational Transformations
Supported
Version Control
Supported
Integration Features
Dashboard
Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Supported
Multiple Data Sources
Supported
Web Services
Supported
Master Data Management Features
Data Governance
Supported
Data Masking
Supported
Data Source Integrations
Supported
Hierarchy Management
Supported
Match & Merge
Supported
Metadata Management
Supported
Multi-Domain
Supported
Process Management
Supported
Relationship Mapping
Supported
Visualization
Supported
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Integrations
Amazon S3
Supported
Apache Kafka
Supported
Microsoft Excel
Supported
Oracle Cloud Infrastructure
Supported
PostgreSQL
Supported
SAP HANA
Supported
SQL Server
Supported
Salesforce
Supported
Snowflake
Supported
Teradata VantageCloud
Supported
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Integrations
Amazon S3
Supported
Apache Kafka
Supported
Microsoft Excel
Supported
Oracle Cloud Infrastructure
Supported
PostgreSQL
Supported
SAP HANA
Supported
SQL Server
Supported
Salesforce
Supported
Snowflake
Supported
Teradata VantageCloud
Supported
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