Ratings and Reviews 8 Ratings
Ratings and Reviews 14 Ratings
What is Verdantis MDM Suite?
Modern enterprises depend on accurate, consistent, and actionable data to keep operations running efficiently. The Verdantis MDM Suite helps organizations overcome long-standing master data challenges, delivering end-to-end capabilities for cleansing, deduplication, normalization, enrichment, and governance. With built-in compatibility for SAP, Oracle, and Microsoft Dynamics, Verdantis ensures smooth, real-time integration with existing enterprise systems, making high-quality data accessible where it matters most.
Verdantis Harmonize transforms legacy, fragmented datasets into standardized, enriched information assets. Through large-scale automation, it eliminates duplicates, enhances classification accuracy, and accelerates data readiness, achieving results in weeks rather than months.
Verdantis Integrity complements this foundation by embedding strong data governance and control. Predefined business rules, validations, and approval workflows ensure ongoing data accuracy, consistency, and compliance with corporate and regulatory standards.
Going beyond conventional MDM, Verdantis incorporates domain-trained Agentic AI that brings intelligence to MRO data management. From parts obsolescence tracking and intelligent alternates to category analytics and predictive insights, the AI engine enables organizations to anticipate change, optimize spare parts inventory, and enhance operational reliability.
By uniting automation, governance, and AI-driven intelligence, the Verdantis MDM Suite empowers enterprises to transform MRO data into a strategic lever for operational excellence, reducing costs, minimizing downtime, and ensuring business continuity at scale.
What is SCIKIQ?
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
Integrations Supported
Amazon S3
Apache Kafka
Dropbox
Hadoop
HubSpot CRM
IBM Db2
Microsoft Excel
MySQL
Odoo
Oracle AI Data Platform (AIDP)
Integrations Supported
Amazon S3
Apache Kafka
Dropbox
Hadoop
HubSpot CRM
IBM Db2
Microsoft Excel
MySQL
Odoo
Oracle AI Data Platform (AIDP)
API Availability
Has API
API Availability
Has API
Pricing Information
Subscription Based
Free Version
Free Trial Offered?
Pricing Information
Yearly License
Contract Pricing
Contract Pricing
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Verdantis
Date Founded
2004
Company Location
United States
Company Website
www.verdantis.com
Company Facts
Organization Name
SCIKIQ
Date Founded
2023
Company Location
India
Company Website
scikiq.com
Categories and Features
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
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
Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
PIM
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control