Composable DataOps Platform

Composable DataOps Platform

Composable Analytics
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About

Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.

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.

Platforms Supported

Windows 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

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

Audience

Data professionals needing to architect and build data-intensive applications

Audience

BFSI, Manufacturing, Logistics, Retail, Healthcare and others

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$8/hr - pay-as-you-go
Free Version Not Supported
Free Trial Not Supported

Pricing

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

Reviews/Ratings

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

Reviews/Ratings

Pros & Cons from Real Users

Pros

  • I’ve been working with Composable Analytics for the past year. As a Senior Systems Analyst/Developer with 25 years experience in the Life Insurance Industry, I can 100% say it’s the best ETL (Extract-Transform-Load) tool that I’ve ever worked with and it has brilliant WEB based applications to host complex Life Insurance Admin applications. Here are my thoughts and observations: • Excellent Data Transformation Application using: o App Management Portal o App Monitoring Portal o Dataflow Manager • Excellent Rules and App Definition facility using the App Management Portal o Allows for Easy Rules Updates o Allows for Easy App Definition Updates o Controls Document Creation, Trigger, Sign and Merge o Very Intuitive • Monitoring Portal brings data to life with excellent features such as: o Application Info o Document Types (Variable and Triggers) o Generated Documents o Evidence Gathering o Workflow History o Evidence Reporting o Decision Scorecard • Dataflow Manager o Allows you to create dataflows that run in real-time with amazing debugging capabilities o Past Runs logging feature allows you to debug any application any time o Native Modules are comprehensive and easy to use o Allows for individual styles o PDF Stamper/Merger is amazing o Works very well with JSON, CSV, SQL, C# etc o Endless Possibilities • Composable Staff o Knowledge Transfer has been superb o Very Friendly and Knowledgeable o Always willing to listen to suggestions and build new functionality:  New Native Module to Extract Metadata from PDF file  New Native Module to override PDF Form Fields attributes during Stamping  Adding a Multi-Conditional Native Module • Integration o Easily integrates with other Systems using WEB calls o Passes data in easy to use formats such as JSON, XML o Works with Internal and External Vendors
  • Composable easily integrated with the broad set of technologies and data sources I work with. The platform greatly enhanced my capabilities around automating data pipelines, web application development, and many other tasks. The Composable team is approachable, provides expert support, and can adapt their platform to meet specific needs of their customers. The development interface is easy to learn and use.
  • Composable is a versatile platform for data analysts that provides many functions ranging from integration with hundreds of data sources to creation of visual data orchestration (data flow) pipelines with built in analytics and visualization capabilities. Composable has a user-friendly interface that acts as a collaborative platform that enables data analysts, scientists and engineers to work more efficiently and effectively.
  • Robust platform with many features and capabilities for building out end-to-end systems. Composable is truly an "integrated development environment" for data engineers and software developers. You can build the solution which can interact with old legacy application like Mainframe DB2 or with modern technologies like Salesforce, AWS very easily. Its most powerful platform where you can support the customer needs with variety of solutions.

Cons

  • While I love everything Composable has to offer, from a developer perspective I would love to use a Multi-Conditional Branch/If-Else module to improve development time for Dataflows.
  • There are no obvious downsides to note. I continue to be impressed with the steady expansion of documentation and function of the platform.
  • Composable is extremely straightforward to learn and use. Truthfully, no cons to report - it's an amazing tool for a technical data analyst.
  • We faced challenge with documentation as we started using Composable, though it looks like Composable support team has now built up extensive help documentation for beginners. However the support team is very knowledgeable and is always available to help so you never get stuck with problem due to no help documentation. Also, Composable platform creates its own documentation as you keep building different solutions. As an example when you are trying to use some new function or module within your solution then platform provides sample code that has ben using same function/module, if that module is used in some other solution.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Composable Analytics
United States
composable.ai

Company Information

SCIKIQ
Founded: 2023
India
scikiq.com

Alternatives

Alternatives

CLAIRE

CLAIRE

Informatica

Categories

Data Analysis Supported
Data Catalog Supported
Data Cleansing Supported
Data Discovery Supported
Data Engineering Supported
Data Intelligence Supported
Data Science Supported
DataOps Supported
ETL Supported
Machine Learning Supported

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.

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) Not 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

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

Artificial Intelligence Features

Chatbot Not Supported
For eCommerce Not Supported
For Healthcare Not Supported
For Sales Supported
Image Recognition Supported
Machine Learning Supported
Multi-Language Supported
Natural Language Processing Supported
Predictive Analytics Supported
Process/Workflow Automation Supported
Rules-Based Automation Supported
Virtual Personal Assistant (VPA) Supported

Data Analysis Features

Data Discovery Supported
Data Visualization Supported
High Volume Processing Supported
Predictive Analytics Supported
Regression Analysis Supported
Sentiment Analysis Supported
Statistical Modeling Supported
Text Analytics Supported

Data Cleansing Features

Address/ZIP Code Cleaning Supported
Charting Supported
Data Consolidation / ETL Supported
Data Mapping Supported
Multi Data Format Support Supported
Phone/Email Validation Supported
Raw Data Ingestion Supported
Sample Testing Supported
Validation / Matching / Reconciliation Supported

Data Science Features

Access Control Supported
Advanced Modeling Supported
Audit Logs Supported
Data Discovery Supported
Data Ingestion Supported
Data Preparation Supported
Data Visualization Supported
Model Deployment Supported
Reports Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Supported
Visualization Supported

Marketing Analytics Features

A/B Testing Supported
Campaign Management Supported
Channel Attribution Supported
Customer Journey Mapping Supported
Dashboard Supported
Performance Metrics Supported
Predictive Analytics Supported
ROI Tracking Supported
Social Media Metrics Supported
Website Analytics 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

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

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

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 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 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

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

Integrations

Hadoop Supported
IBM Db2 Supported
PostgreSQL Supported
SQL Server Supported
Salesforce Supported
Snowflake Supported
Adobe Marketo Engage Supported
Amazon Redshift Supported
Amazon Web Services (AWS) Supported
Apache Kafka Not Supported
Azure Data Lake Storage Supported
Azure Marketplace Supported
Domo Supported
Dropbox Not Supported
HubSpot CRM Not Supported
Microsoft Azure Supported
Oracle Cloud Infrastructure Not Supported
SAP HANA Not Supported
Tableau Supported
Teradata VantageCloud Not Supported

Integrations

Hadoop Supported
IBM Db2 Supported
PostgreSQL Supported
SQL Server Supported
Salesforce Supported
Snowflake Supported
Adobe Marketo Engage Not Supported
Amazon Redshift Not Supported
Amazon Web Services (AWS) Not Supported
Apache Kafka Supported
Azure Data Lake Storage Not Supported
Azure Marketplace Not Supported
Domo Not Supported
Dropbox Supported
HubSpot CRM Supported
Microsoft Azure Not Supported
Oracle Cloud Infrastructure Supported
SAP HANA Supported
Tableau Not Supported
Teradata VantageCloud Supported
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