+
+
Visit Website

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.

About

Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.

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

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

Audience

BFSI, Manufacturing, Logistics, Retail, Healthcare and others

Audience

Organizations interested in a powerful and comprehensive cloud data platform

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Yearly License
Contract Pricing
Free Version Not Supported
Free Trial Not Supported

Pricing

$2/credit
Pay for the compute and storage you actually use.
- Turn compute resources on and off, so you only pay for what you use
- Store near-unlimited amounts of data at affordable cloud rates
- Grow your analytics infrastructure with linear cost scalability
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Reviews/Ratings

Overall 4.8 / 5
ease 4.8 / 5
features 5.0 / 5
design 4.8 / 5
support 4.8 / 5

Pros & Cons from Real Users

Pros

  • Snowflake is being used across our whole organization. It addresses the need to combine disparate data sources into one single data source and discover insights into our business that would not be easily possible with lots of disconnected data sources. It has great SQL features like LISTAGG or Count Distinct, which go above and beyond Oracle and MS SQL. - Reporting queries run in a fraction of the time that they would in our production systems - We can run simple SQL queries. - Scales up and down seamlessly - Optimized table structures under the hood - Sharing data between accounts - Easy if use - Continuous data pipelines - Snowflake also includes caching at various levels to help speed up your queries and minimum costs. - Support members are very good.
  • Snowflake is acting as a company-wide Data Repository. With its cloud architecture and scalability, it addresses our storage, warehouse, and computation problem at the same time. Snowflake has powerful group roles and policy, which makes it beneficial for enterprise edition and usage. Snowflake acts as a single platform for both data storage and warehousing needs. For deployment purposes, it has the best group policy management and the best UI I've encountered personally. It also accommodates direct connection with AWS and Azure, which is another advantage. - Hosted on cloud: Helps with scalability. - Handling large data scale and ingestion - Separation of compute and storage - Community is active and ever-growing: You will have someone from the community to help whenever you need it.
  • Simple & clean interface Great querying performance Integration with all the major cloud providers Easy to learn querying language Good documentation
  • (+) Easy to adapt and easy to use. (+) The run time of queries is much faster compared to other products in the market. (+) One can select a part of a query for execution. (+) Integration with S3 and other data storage platforms makes snowflake more compatible. (+) One may run concurrent queries without giving up on speed.

Cons

  • Nothing to dislike in Snowflake. Awesome data warehouse for huge data set.
  • - Very expensive - Indexing by primary key is non performant
  • Web based IDE is not suitable for writing complex queries, it feels sluggish when heavily used.
  • (-) Performance drops in the case of multiple users. (-) No option for scheduling of a task or a query. (-) The coding syntax has some restrictions like the case-sensitivity issue.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

SCIKIQ
Founded: 2023
India
scikiq.com

Company Information

Snowflake
Founded: 2012
United States
www.snowflake.com

Alternatives

Alternatives

CLAIRE

CLAIRE

Informatica
Denodo

Denodo

Denodo Technologies

Categories

SCIKIQ 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

Big Data Supported

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

Data Catalog Supported

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.

Data Discovery Supported

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.

Data Fabric Supported

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.

Data Governance Supported

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.

Data Integration Supported
Data Lineage Supported
Data Management Supported

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.

Data Observability Supported
Data Preparation Supported
Data Quality Supported

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.

ETL Supported

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.

Integration Supported

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.

Categories

AI Cloud Providers Supported
AI Infrastructure Supported
Big Data Supported
Columnar Databases Supported
Data Clean Room Supported
Data Exchange Supported
Data Governance Supported
Data Lake Supported
Data Management Supported
Data Marketplaces Supported
Data Monetization Supported
Data Preparation Supported
Data Science Supported
Data Warehouse Supported
Database Supported
ETL Supported
LLM API Supported
Machine Learning Supported
OLAP Databases Supported
Query Engines Supported
SQL Databases 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

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

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 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 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 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

ETL Features

Data Analysis Supported
Data Filtering Not Supported
Data Quality Control Not Supported
Job Scheduling Not Supported
Match & Merge Not Supported
Metadata Management Not Supported
Non-Relational Transformations Not Supported
Version Control Not Supported

Data Warehouse Features

Ad hoc Query Not Supported
Analytics Supported
Data Integration Not Supported
Data Migration Supported
Data Quality Control Not Supported
ETL - Extract / Transfer / Load Not Supported
In-Memory Processing Not Supported
Match & Merge Not Supported

Database Features

Backup and Recovery Not Supported
Creation / Development Not Supported
Data Migration Not Supported
Data Replication Not Supported
Data Search Not Supported
Data Security Not Supported
Database Conversion Not Supported
Mobile Access Not Supported
Monitoring Not Supported
NOSQL Not Supported
Performance Analysis Supported
Queries Not Supported
Relational Interface Not Supported
Virtualization Not Supported

Integrations

Acquia CDP Not Supported
AlphaGeo Not Supported
Claude Fable 5.5 Not Supported
CompareData Not Supported
CustomerDashboard Not Supported
DeepSeek Not Supported
HubiFi Not Supported
IRI Data Protector Suite Not Supported
Kleene Not Supported
LightBeam.ai Not Supported
P0 Security Not Supported
RevGain Not Supported
Salesforce Data 360 Not Supported
Simon AI Not Supported
SpendHound Not Supported
Vulcan Cyber Not Supported
WhenThen Not Supported
Woopra Not Supported
Xplenty Not Supported
Zingg Not Supported

Integrations

Acquia CDP Supported
AlphaGeo Supported
Claude Fable 5.5 Supported
CompareData Supported
CustomerDashboard Supported
DeepSeek Supported
HubiFi Supported
IRI Data Protector Suite Supported
Kleene Supported
LightBeam.ai Supported
P0 Security Supported
RevGain Supported
Salesforce Data 360 Supported
Simon AI Supported
SpendHound Supported
Vulcan Cyber Supported
WhenThen Supported
Woopra Supported
Xplenty Supported
Zingg Supported
Claim Snowflake and update features and information
Claim Snowflake and update features and information