Amazon DataZoneAmazon
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SCIKIQSCIKIQ
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About
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning.
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About
SCIKIQ is an enterprise data fabric and AI platform that moves organizations from fragmented data to production-ready AI.
AI is only as good as the meaning behind the data. SCIKIQ builds that foundation with data semantics, ontologies, and knowledge graphs, connecting data integration, data quality, data governance, and master data management into a unified data fabric that gives AI true business context.
167+ pre-built connectors including SAP, Snowflake, Oracle, and Kafka.
No migration. Cloud-agnostic. Live in 30–90 days, Fastest ROI
Built on a semantic layer with data catalog, data lineage, ETL, and agentic AI,
SCIKIQ brings conversational analytics and self-service business intelligence to business teams , while data teams keep full governance and control.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10. YourStory Tech30.
Trusted by category leaders in banking, financial services, retail, manufacturing, and supply chain & Logistics.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies searching for a solution to enhance their organization's data management capabilities
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Audience
Enterprises in BFSI, manufacturing, Logistics, retail, and healthcare with fragmented data across multiple systems. Built for CDOs, data leaders, and architects who need governed, AI-ready data without rip-and-replace migration
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1998
United States
aws.amazon.com/datazone/
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Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
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Categories |
Categories |
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Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance Features
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Catalog Management Features
Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration Features
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management Features
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
PIM Features
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control
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Integrations
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Kafka
Dropbox
Hadoop
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Integrations
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Kafka
Dropbox
Hadoop
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