About
SCIKIQ is a trailblazing no-code data platform that helps organizations integrate, curate, govern, and activate enterprise data across cloud, multi-cloud, hybrid, and on-premises environments. SCIKIQ works with the technology you already run, SAP, Oracle, Salesforce, databases, data lakes, warehouses, SaaS applications, AWS, Azure, and GCP, without forcing a rip-and-replace.
At its heart is Contextual Intelligence. SCIKIQ understands the unique semantics of enterprise data, connecting technical metadata with business definitions, relationships, rules, quality, lineage, and governance. The result is trusted, contextualized data that people, analytics, applications, and AI can understand and use.
SCIKIQ unifies the data lifecycle in one no-code platform:
• Integrate — Connect structured and unstructured data across applications, databases, files, APIs, SAP, and real-time sources using 200+ connectors and no-code pipelines.
• Curate — Profile, clean, transform, standardize, enrich, model, and contextualize data through automated data preparation.
• Govern — Manage metadata, catalog, data quality, lineage, privacy, policies, access, and stewardship across the enterprise.
• Activate — Deliver trusted data to BI, analytics, enterprise applications, data products, machine learning, AI copilots, and intelligent agents.
Instead of stitching together disconnected tools, SCIKIQ brings data integration, ETL, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, data products, and intelligence together on one unified platform. SCIKIQ works on top of your existing data architecture, reducing engineering complexity, bridging skill gaps, and accelerating time to value.
Recognized by Forrester, NASSCOM, YourStory, Inc42, and DataIQ for innovation in enterprise data and intelligence.
SCIKIQ is The No-Code Data Platform That Works for Your Business.
|
About
The most efficient, sovereign & unified "on-premise" data platform available today.
Think about the Azure data platform, but on steroids and 100% Sovereign.
TIMi is an ethical solution:
Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in
Fair price & No hidden fees & No price hikes
TIMi is a leader in these fields:
Data Preparation/ETL/BPA/BPM/ESB
- automate the most complex tasks without code
- Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc.
BigData
- 1 TIMi-server is faster than 267 Spark-servers
- Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server.
- manage peta-byte Data Lakes
AI/ML: We invented the 1st Auto-ML tool in 2007
TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov.
Also available in EU-hosted sovereign cloud.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
BFSI, Manufacturing, Logistics, Retail, Healthcare and others
|
Audience
Data Scientists, Data Engineers, Business Analysts, IT departements that needs to automate data flows
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
PricingYearly License
Contract Pricing
Free Version
Free Trial
|
Pricing
499 €/Month
499 €/Month/user (or 5000€/year/user) for a cloud solution that is fully managed for you.
5970 €/year for a self-hosted solution. You get Unlimited users, storage, cores. VM not supported. Server edition: VM is suported: Contact us. All our solutions are 100% sovereign.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
|
Company InformationTIMi
Founded: 2007
Belgium
timi.eu/timi/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
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. |
Categories |
|||||
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
Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
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
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Data Fabric Features
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Governance Features
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
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
|
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
Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
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 Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Dashboard Features
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing Features
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Financial Risk Management Features
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Marketing Analytics Features
A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Preventive Maintenance Features
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Reporting Features
Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports
Robotic Process Automation (RPA) Features
Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation
Sales Forecasting Features
Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
|
|||||
Integrations
Amazon S3
Apache Kafka
IBM Db2
Microsoft Excel
MySQL
PostgreSQL
SAP HANA
SQL Server
Salesforce
Teradata VantageCloud
|
Integrations
Amazon S3
Apache Kafka
IBM Db2
Microsoft Excel
MySQL
PostgreSQL
SAP HANA
SQL Server
Salesforce
Teradata VantageCloud
|
|||||
