Company Website

Ratings and Reviews 14 Ratings

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

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

What is IBM Watson Knowledge Catalog?

Facilitate effective data utilization for AI and analytics in a business-centric way through intelligent cataloging, reinforced by proactive governance of metadata and policies. The IBM Watson® Knowledge Catalog emerges as an essential resource for uncovering data, models, and additional assets, significantly improving the self-service exploration experience. Functioning as a cloud-based storage solution for enterprise metadata, it enables the activation of information for applications in AI, machine learning (ML), and deep learning. Users can conveniently access, curate, categorize, and share data and knowledge assets, along with their interrelations, from any location. By effectively organizing, defining, and managing enterprise data, organizations can guarantee that they possess the necessary context to create value for diverse purposes, including meeting regulatory requirements and pursuing data monetization initiatives. Moreover, it maintains data integrity, monitors compliance and audit readiness, and builds client trust through diligent policy management and the adaptive masking of sensitive information. Featuring intuitive dashboards and workflows that can be easily shared with team members or integrated with analytical tools, businesses can efficiently consume and transform data to align with their operational needs. By harnessing these capabilities, organizations can significantly elevate their decision-making processes and foster innovation throughout their operations. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to respond agilely to market changes.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Dropbox
Hadoop
HubSpot CRM
IBM Cloud
IBM Cloud Pak for Applications
IBM Cloud Pak for Integration
IBM Db2
IBM InfoSphere Information Governance Catalog
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SAP Cloud Platform
SAP HANA
SQL Server
Salesforce
Snowflake
Teradata VantageCloud

Integrations Supported

Amazon S3
Apache Kafka
Dropbox
Hadoop
HubSpot CRM
IBM Cloud
IBM Cloud Pak for Applications
IBM Cloud Pak for Integration
IBM Db2
IBM InfoSphere Information Governance Catalog
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SAP Cloud Platform
SAP HANA
SQL Server
Salesforce
Snowflake
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

Yearly License
Contract Pricing
Free Version
Free Trial Offered?

Pricing Information

$300 per instance
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

SCIKIQ

Date Founded

2023

Company Location

India

Company Website

scikiq.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-knowledge-catalog

Categories and Features

Agentic Data Management

SCIKIQ is an innovative platform designed for AI-driven Agentic Data Management, enabling organizations to convert their enterprise data into well-governed, reusable, and AI-compatible Data Products. At its foundation lies the SCIKIQ Data Product Factory and Data Marketplace, which are essential for implementing Data-as-a-Product strategies throughout the organization. The Data Product Factory empowers teams and AI Agents to discover, create, manage, enhance, and publish Data Products by utilizing reliable enterprise data accompanied by business context, semantics, quality metrics, and lineage tracking. Additionally, the SCIKIQ Data Marketplace serves as both an internal and external hub for discovering, sharing, consuming, and monetizing Data Products, datasets, APIs, KPIs, analytics, and AI-optimized assets. Notable features of SCIKIQ include Agentic Data Management, Data Products, Data Product Factory, Data Marketplace, Data-as-a-Product frameworks, Data Mesh architecture, Self-Service Data options, a comprehensive Data Catalog, as well as robust Data Governance, Data Quality, Data Lineage, Data Semantics, APIs, and AI Agents. Transforming raw enterprise data into governed Data Products designed for Analytics, Generative AI, and more.

Big Data

SCIKIQ has gained recognition as one of the Top 34 AI-Augmented platforms worldwide by Forrester and is celebrated as one of India's Top 10 DeepTech firms in AI & Analytics according to NASSCOM. This AI-driven platform is specifically designed for Big Data and enterprise data in the context of the AI revolution. The platform seamlessly integrates and consolidates data from various sources including SAP, databases, data warehouses, data lakes, cloud services, enterprise applications, and APIs, all without necessitating a replacement or migration of the existing data infrastructure. SCIKIQ establishes a reliable, governed, and AI-optimized data foundation that supports Big Data initiatives, analytics, Business Intelligence, and enterprise-level AI. Its extensive features encompass Big Data integration, ETL/ELT processes, data pipelines, transformation capabilities, data lakehouse functionality, data preparation, quality assurance, metadata management, data cataloging, governance, lineage tracking, semantic intelligence, real-time data analytics, and AI-enhanced analytics. SCIKIQ is compatible with cloud, hybrid, and on-premises environments, empowering enterprises to accelerate their transition to Generative AI and Agentic AI solutions.

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Recognized by Forrester as one of the Top 34 AI-Enhanced Business Intelligence platforms worldwide, SCIKIQ is an advanced Business Intelligence solution designed for the future of enterprise decision-making. SCIKIQ integrates various functionalities including Business Intelligence, enterprise analytics, Conversational AI, interactive dashboards, data integration, governance, semantic intelligence, and Agentic AI into a single cohesive platform. This enables organizations to convert their enterprise data into reliable, context-rich, and AI-compatible insights—all without the need to overhaul their current technology infrastructure. Tailored for comprehensive enterprise BI, SCIKIQ seamlessly links data from SAP, various databases, data warehouses, cloud services, Power BI, Tableau, and other business applications to establish a unified intelligence framework. Its standout features encompass AI-driven Business Intelligence, Conversational Analytics, a holistic view of enterprise data, self-service BI capabilities, KPI analytics, semantic intelligence, data visualization, real-time analytics, data governance, data lineage tracking, and AI agents.

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

SCIKIQ is a cutting-edge platform designed specifically for effective Catalog Management, enabling businesses to create, oversee, enhance, and regulate extensive product catalogs seamlessly. This AI-driven solution integrates product data from various sources such as SAP, ERP, PIM, eCommerce platforms, marketplaces, databases, and enterprise applications, resulting in a reliable and centralized product catalog. The SCIKIQ platform encompasses a wide range of functions, including Product Catalog Management, Catalog Data Management, Product Information Management (PIM), SKU Management, Master Data Management, Product Data Quality, Enrichment, Classification, Category Management, Taxonomy Management, Metadata Management, Digital Asset Management, and Data Governance. Leveraging artificial intelligence, SCIKIQ automates the enhancement of product details, such as descriptions, attributes, classifications, and overall data completeness. It facilitates the management of product hierarchies, specifications, variants, SKUs, images, and connections within diverse environments, including B2B, B2C, retail, manufacturing, eCommerce, marketplaces, and omnichannel settings. With SCIKIQ, businesses gain a single, reliable catalog that supports commerce, analytics, and AI initiatives.

Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search

Data Catalog

SCIKIQ is an innovative Data Catalog platform designed for businesses to efficiently locate, comprehend, govern, and utilize data for Analytics and AI purposes. This comprehensive solution integrates various functionalities including Data Cataloging, Data Discovery, Metadata Management, Data Lineage, Data Quality, Business Glossary, and Data Semantics into a single intelligent platform. With SCIKIQ, organizations can effortlessly catalog data from diverse sources such as SAP, databases, data warehouses, data lakes, cloud environments, APIs, and enterprise applications. Users can conveniently search for and identify datasets, tables, columns, metadata, business terminology, KPIs, data owners, relationships, and lineage all within a centralized enterprise data catalog. Notable features encompass Automated Data Cataloging, Metadata Discovery, Metadata Management, Business Glossary, Data Classification, Data Profiling, Data Search, Data Lineage, Data Governance, Data Quality, and a Semantic Layer. By linking technical metadata with relevant business context, SCIKIQ fosters a reliable catalog for Data Management, Business Intelligence, as well as Generative and Agentic AI applications.

Data Discovery

SCIKIQ is an innovative platform designed for Data Discovery that empowers organizations to locate, comprehend, categorize, and trust their data within intricate data ecosystems. This comprehensive solution integrates various features including Data Discovery, Data Cataloging, Metadata Management, Data Search, Data Lineage, Data Profiling, Data Classification, and Data Semantics into a single platform. With SCIKIQ, organizations can effortlessly identify data across diverse sources such as SAP systems, databases, data warehouses, data lakes, cloud services, APIs, and enterprise software. Users can efficiently search and navigate through datasets, tables, columns, metadata, business terminologies, KPIs, and their interconnections via advanced enterprise data discovery capabilities. The platform pairs automated metadata identification with leading-edge Data Lineage and Data Quality tools, along with a top-tier Data Semantics approach, to deliver essential business context for enterprise data. SCIKIQ is specifically designed to support Data Discovery, Data Governance, Data Management, Data Cataloging, Business Intelligence, Analytics, Generative AI, and Agentic AI initiatives.

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Recognized as one of the Top 34 AI-Enhanced platforms worldwide by Forrester, and listed among India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ stands out as an AI-centric Enterprise Data Fabric developed from the ground up for artificial intelligence applications. SCIKIQ establishes a cohesive and intelligent data environment that integrates SAP, databases, data warehouses, data lakes, cloud services, APIs, and enterprise applications—eliminating the need for data migration, replatforming, or the replacement of existing data infrastructures. The SCIKIQ Data Fabric features a comprehensive suite that includes Data Integration, ETL/ELT processes, Data Pipelines, Data Quality assurance, Data Governance, Data Cataloging, Metadata Management, Data Lineage tracking, Master Data Management, Data Observability, and Data Semantics. Its cutting-edge Data Semantics approach bridges the gap between technical data and business relevance, linking KPIs, relationships, and meanings to establish a robust AI-ready data foundation for enterprises. Designed for Data Fabric architecture, Data Management, Business Intelligence, Analytics, Generative AI, and Agentic AI, SCIKIQ is at the forefront of data innovation.

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Governance

SCIKIQ stands out as a top contender among global Data Governance solutions, recognized for its exceptional capabilities in Data Lineage, Data Quality, and a premier Data Semantics framework. This comprehensive platform offers a wide array of features, including enterprise-level Data Governance, automated Data Lineage, Data Quality management, Data Cataloging, Metadata oversight, Business Glossary creation, Data Discovery, Classifications, Profiling, Observability, PII handling, Policy Management, Compliance, and Governance for AI—all integrated into a single solution. With SCIKIQ, you can seamlessly track the full spectrum of Data Lineage across various systems including SAP, databases, data warehouses, data lakes, cloud infrastructures, ETL processes, BI visualizations, and enterprise applications. Enhance your Data Quality through automation that includes profiling, validation, monitoring, and the implementation of quality standards. The SCIKIQ Data Semantics component links metadata, business terminology, KPIs, relational data, and the broader enterprise context to cultivate reliable, AI-compatible datasets. It is specifically designed to support Data Governance, Data Management, regulatory adherence, Business Intelligence, and both Generative and Agentic AI initiatives.

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

SCIKIQ Data Hub is an AI-centric data management solution specifically crafted for AI, providing the quickest route from enterprise data to Enterprise AI. It has been acknowledged by Forrester as one of the Top 34 AI-Augmented platforms worldwide and recognized as one of India's Top 10 DeepTech firms in AI and Analytics by NASSCOM. SCIKIQ excels at connecting, governing, and activating data throughout the organization. Effortlessly integrate data from various sources such as SAP, databases, data warehouses, data lakes, cloud services, APIs, and enterprise applications without the need for replatforming or disrupting your current data infrastructure. Its built-in features for Data Governance, Data Quality, Data Cataloging, Metadata Management, and Data Lineage ensure the creation of reliable data by design. Utilizing ETL/ELT, Data Integration, Data Pipelines, Data Transformation, Data Preparation, and Semantic Intelligence, SCIKIQ transforms disparate data into a cohesive, AI-ready framework. Designed for Analytics, Business Intelligence, Generative AI, and Agentic AI, SCIKIQ empowers organizations to transition from isolated data to reliable intelligence in a matter of weeks rather than years.

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Mining

SCIKIQ is an innovative platform designed for AI-driven data mining and analytics, empowering businesses to uncover patterns, relationships, trends, and valuable insights within intricate enterprise datasets. Developed from the ground up with a focus on AI capabilities, SCIKIQ seamlessly integrates Data Mining, AI Analytics, Machine Learning, Predictive Analytics, and Business Intelligence, all resting on a reliable enterprise data infrastructure. This platform facilitates a range of analytical functions including Data Exploration, Pattern Discovery, Trend Analysis, Anomaly Detection, Root Cause Analysis, Data Profiling, Statistical Analysis, Predictive Modeling, and AI-enhanced Analytics, accommodating both structured and unstructured data sources. Users can effortlessly mine and analyze data from SAP systems, databases, data warehouses, data lakes, cloud platforms, and various enterprise applications without the need for extensive replatforming. With built-in features for Data Integration, Data Quality, Data Governance, Data Lineage, and Data Semantics, SCIKIQ transforms enterprise data into reliable insights that can be leveraged for Analytics, Generative AI, and Agentic AI applications.

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Quality

SCIKIQ offers top-tier Data Quality solutions for organizations seeking dependable, precise, and AI-compatible data. Designed from the ground up to support AI initiatives, SCIKIQ integrates various components such as Data Quality Management, Data Profiling, Data Cleansing, Data Validation, Data Monitoring, and Data Observability to manage intricate enterprise data landscapes. With SCIKIQ, users benefit from automated functions including Data Quality Rules, Data Validation, Data Standardization, Data Matching, Deduplication, Data Enrichment, Completeness Assessments, Accuracy Verifications, Consistency Evaluations, Anomaly Detection, and ongoing Data Quality Monitoring. This platform enables organizations to consistently evaluate and enhance data quality across systems such as SAP, databases, data warehouses, data lakes, cloud services, ETL processes, and enterprise applications. Additionally, integrated features for Data Lineage, Data Governance, Metadata Management, and Data Semantics aid in tracing the sources of quality issues and evaluating their impact on business operations. Reliable Data. Enhanced Analytics. Dependable AI.

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL

SCIKIQ is a cutting-edge AI-driven platform designed for seamless ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, enabling rapid and scalable data integration and transformation for large enterprises. With a no-code interface and AI-enhanced automation, users can effortlessly build, manage, and automate ETL pipelines across various environments, including cloud, on-premises, and hybrid setups. This comprehensive platform encompasses a wide array of functionalities, including ETL and ELT processes, data pipelines, integration, ingestion, extraction, transformation, loading, mapping, migration, replication, change data capture (CDC), batch processing, and real-time integration. SCIKIQ offers over 200 pre-built connectors, allowing you to easily link to SAP, ERP, CRM systems, databases, data warehouses, data lakes, SaaS applications, APIs, files, and streaming data. The platform features essential capabilities for ensuring data quality, governance, lineage, metadata management, and observability, which are crucial for establishing reliable data pipelines and preparing data for AI applications. With SCIKIQ, you have a unified solution for transitioning from traditional ETL to modern ELT processes, facilitating real-time data pipelines and AI-driven integration, empowering organizations to effectively manage, transform, and leverage their data.

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

SCIKIQ is a cutting-edge, AI-driven Data Integration platform designed to seamlessly link, transfer, and transform enterprise data across various systems, clouds, and environments. It offers a comprehensive suite of solutions, including ETL/ELT processes, real-time data pipelines, SAP Integration, and API Integration, all within a singular platform tailored for contemporary enterprise data needs. Utilize over 200 pre-built connectors to integrate with SAP S/4HANA, SAP ECC, various databases, data warehouses, data lakes, SaaS applications, APIs, files, and streaming sources. You can effortlessly create no-code data pipelines that handle batch processing, micro-batching, real-time streaming, and Change Data Capture (CDC) across cloud, on-premises, and hybrid settings. Additionally, SCIKIQ features an API Hub that allows for the creation, management, governance, and reuse of enterprise APIs, facilitating the connection of applications, data, and AI services through a unified integration layer. With its no-code interface and embedded capabilities for Data Quality, Data Governance, Data Lineage, Observability, and AI-enhanced automation, SCIKIQ surpasses conventional ETL tools to provide reliable, AI-ready data solutions.

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Master Data Management

SCIKIQ is an innovative Master Data Management (MDM) platform designed to establish reliable and cohesive master data that is ready for AI applications throughout the organization. It seamlessly integrates various components such as Master Data Management, Data Quality, Data Governance, Data Integration, and Data Semantics into a single, comprehensive solution. With SCIKIQ, businesses can develop a reliable Golden Record and a Single Source of Truth for critical entities including customers, products, suppliers, vendors, employees, and more. The platform facilitates a holistic view of data through functionalities such as Customer 360, Product 360, Supplier 360, Multi-Domain MDM, Reference Data Management, and Hierarchy Management. Among its standout features are Entity Resolution, Data Matching, Deduplication, Data Cleansing, Data Standardization, Data Validation, Data Enrichment, Data Profiling, Data Stewardship, Metadata Management, and Data Lineage. SCIKIQ enables seamless connections between master data and various systems such as SAP, ERP, CRM, databases, data warehouses, cloud solutions, and enterprise applications, enhancing capabilities in Analytics, Business Intelligence, Generative AI, and Agentic AI.

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM

SCIKIQ is an innovative platform designed for Product Information Management (PIM), leveraging AI technology to streamline and manage product data throughout an organization. Tailored for the demands of contemporary commerce and artificial intelligence, SCIKIQ offers a reliable, centralized repository for product information, seamlessly integrating with ERP systems, SAP, eCommerce platforms, online marketplaces, websites, and various corporate applications. The SCIKIQ PIM solution encompasses a wide range of functionalities, including Product Data Management, Product Catalog Management, Master Data Management, SKU Management, Quality Assurance for product data, Enrichment services, Classification systems, Taxonomy oversight, Metadata management, Digital Asset Management, and Governance protocols. With AI-driven enhancements, SCIKIQ significantly elevates product descriptions, attributes, categorization, and overall data integrity on a large scale. Users can efficiently manage intricate product hierarchies, detailed specifications, images, and inter-product relationships from a single, controlled environment. SCIKIQ is expertly designed to serve B2B and B2C sectors, encompassing retail, manufacturing, eCommerce, marketplaces, and providing comprehensive omnichannel product experiences.

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Categories and Features

Popular Alternatives

CLAIRE Reviews & Ratings

CLAIRE

Informatica

Popular Alternatives