About
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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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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Why SCIKIQ is Better than DatabricksSCIKIQ delivers many of the enterprise data and AI capabilities organizations look for in modern platforms like Databricks, but with a simpler, faster and no-code approach. SCIKIQ combines Data Integration, ETL/ELT, Data Quality, Governance, Lineage, Data Semantics, Analytics and Agentic AI in one AI-native platform. Unlike platforms that often require specialized data engineering, IT and technical skills, SCIKIQ reduces dependence on data and IT teams. Its no-code, AI-assisted experience enables business and data teams to build, govern and use enterprise data with a significantly lower learning curve. SCIKIQ works with existing SAP, databases, data warehouses, data lakes, cloud and BI environments without requiring replatforming. Faster implementation, simpler administration and flexible cloud, hybrid or on-premise deployment help enterprises go live in weeks, reduce technical overhead and achieve faster ROI from data and AI. See more |
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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
Not Supported
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
Organizations that want all their data, analytics and AI on one unified data platform
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Audience
BFSI, Manufacturing, Logistics, Retail, Healthcare and others
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Support
Phone Support
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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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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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
Supported
Live Online
Not 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 InformationDatabricks
Founded: 2013
United States
databricks.com
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Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
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Alternatives |
Alternatives |
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Categories |
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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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
Not Supported
Metadata Functionality
Not Supported
No Data Redundancy
Not Supported
Persistent Data Management
Supported
Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Supported
Email Management
Not Supported
Policy Management
Not Supported
Process Management
Not Supported
Roles Management
Supported
Storage Management
Supported
Data Lineage Features
Database Change Impact Analysis
Supported
Filter Lineage Links
Supported
Implicit Connection Discovery
Supported
Lineage Object Filtering
Supported
Object Lineage Tracing
Supported
Point-in-Time Visibility
Supported
User/Client/Target Connection Visibility
Supported
Visual & Text Lineage View
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
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
Artificial Intelligence Features
Chatbot
Not Supported
For eCommerce
Supported
For Healthcare
Supported
For Sales
Supported
Image Recognition
Not Supported
Machine Learning
Supported
Multi-Language
Supported
Natural Language Processing
Supported
Predictive Analytics
Supported
Process/Workflow Automation
Supported
Rules-Based Automation
Supported
Virtual Personal Assistant (VPA)
Not Supported
Dashboard Features
Annotations
Supported
Data Source Integrations
Supported
Functions / Calculations
Supported
Interactive
Supported
KPIs
Supported
OLAP
Supported
Private Dashboards
Supported
Public Dashboards
Supported
Scorecards
Supported
Themes
Supported
Visual Analytics
Supported
Widgets
Supported
Data Analysis Features
Data Discovery
Supported
Data Visualization
Supported
High Volume Processing
Supported
Predictive Analytics
Supported
Regression Analysis
Supported
Sentiment Analysis
Supported
Statistical Modeling
Supported
Text Analytics
Supported
Data Science Features
Access Control
Supported
Advanced Modeling
Supported
Audit Logs
Supported
Data Discovery
Supported
Data Ingestion
Supported
Data Preparation
Supported
Data Visualization
Supported
Model Deployment
Supported
Reports
Supported
Data Visualization Features
Analytics
Supported
Content Management
Not Supported
Dashboard Creation
Supported
Filtered Views
Supported
OLAP
Supported
Relational Display
Supported
Simulation Models
Supported
Visual Discovery
Supported
Data Warehouse Features
Ad hoc Query
Supported
Analytics
Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Supported
ETL - Extract / Transfer / Load
Supported
In-Memory Processing
Supported
Match & Merge
Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Supported
Visualization
Supported
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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
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
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
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 Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
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
Apache Kafka
Supported
Salesforce
Supported
1Platform
Supported
AI-Surge
Supported
Alibaba Cloud
Supported
Colrows
Supported
Demyst
Supported
Fivetran
Supported
Fluent
Supported
GPT-5.5
Supported
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Integrations
Apache Kafka
Supported
Salesforce
Supported
1Platform
Not Supported
AI-Surge
Not Supported
Alibaba Cloud
Not Supported
Colrows
Not Supported
Demyst
Not Supported
Fivetran
Not Supported
Fluent
Not Supported
GPT-5.5
Not Supported
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