Composable DataOps Platform vs. Rawcubes Comparison


Composable DataOps Platform Composable Analytics	Rawcubes	+	+
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		Related Products Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. 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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. 68 Ratings Visit Website SCIKIQ 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. 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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. 14 Ratings Visit Website DataBuck DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. 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DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. 10 Ratings Visit Website Semarchy xDM Use Semarchy unified data platform to experience xDM. Discover, govern, enrich, enlighten and manage data. You can easily transform data into insights with xDM and rapidly deliver data-rich applications with automated master data management. Its business-centric interfaces provide for rapid creation and adoption of data-rich applications, while automation rapidly generates applications to your specific requirements. Use the agile platform to quickly expand or evolve data applications. 64 Ratings Visit Website D&B Connect Realize the true potential of your first-party data. D&B Connect is a customizable, self-service master data management solution built to scale. Eliminate data silos across the organization and bring all your data together using the D&B Connect family of products. Benchmark, cleanse, and enrich your data using our database of hundreds of millions of records. The result is an interconnected, single source of truth that empowers your teams to make more confident business decisions. Drive growth and reduce risk with data you can trust. With a clean, complete data foundation, your sales and marketing teams can align territories with a full view of account relationships. Reduce internal conflict and confusion over incomplete or bad data. Strengthen segmentation and targeting. Increase personalization and the quality/quantity of marketing-sourced leads. Improve accuracy of reporting and ROI analysis. 189 Ratings Visit Website AnalyticsCreator AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. 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Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. 625 Ratings Visit Website Qloo Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. 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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 The only software that combines data intelligence through knowledge Graph with multi cloud data strategies to enable better business insights. Lack of Insightful data preventing you from running successful campaigns? Uncover the intelligence and learn what your customer wants! Get a 360-degree view of the business operations through a single, end-to-end analysis using our proprietary product, DataBlaze. Empower your data experts with data strategies models. No need to write codes, no human errors. Leverage pre-built ML models to aid insurers in accurately evaluating and managing property risk. Rawcubes helps businesses utilize their data by leveraging our data platforms, pre-built domain knowledge graph, and analytical models to enable better business insights. Rawcubes provides world-class data management software, business analytical models, and access to a team of data scientists and data engineers if you need expert advice or just to bounce around an idea or two.
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 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 Data professionals needing to architect and build data-intensive applications	Audience Companies looking for a data integration and data intelligence solution to get better business insight
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $8/hr - pay-as-you-go Free Version Not Supported Free Trial Not Supported	Pricing No information available. 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 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
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 Not Supported Live Online Supported In Person Supported
Company Information Composable Analytics United States composable.ai	Company Information Rawcubes United States www.rawcubes.com
Alternatives Databricks	Alternatives Oracle Fusion Data Intelligence Oracle
Google Cloud BigQuery Google	Alation
TIMi	Google Cloud BigQuery Google
Teradata VantageCloud Teradata	Composable DataOps Platform Composable Analytics
IBM Cognos Analytics IBM View All	Teradata VantageCloud Teradata View All
Categories Artificial Intelligence Supported Business Intelligence Supported 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 Marketing Analytics Supported Master Data Management Supported	Categories Data Analysis Supported Data Intelligence Supported Data Management 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 Show More Features 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 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 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 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 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 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
Integrations Amazon Web Services (AWS) Supported Microsoft Azure Supported SQL Server Supported Adobe Marketo Engage Supported Amazon Redshift Supported Amazon S3 Not Supported Anaplan Supported Apache Kafka Not Supported Azure Data Lake Storage Supported Azure Marketplace Supported Domo Supported Google Cloud Platform Not Supported Hadoop Supported IBM Db2 Supported MariaDB Not Supported MySQL Not Supported Oracle Cloud Infrastructure Not Supported Snowflake Supported Tableau Supported Teradata VantageCloud Not Supported Show More Integrations View All 15 Integrations	Integrations Amazon Web Services (AWS) Supported Microsoft Azure Supported SQL Server Supported Adobe Marketo Engage Not Supported Amazon Redshift Not Supported Amazon S3 Supported Anaplan Not Supported Apache Kafka Supported Azure Data Lake Storage Not Supported Azure Marketplace Not Supported Domo Not Supported Google Cloud Platform Supported Hadoop Not Supported IBM Db2 Not Supported MariaDB Supported MySQL Supported Oracle Cloud Infrastructure Supported Snowflake Not Supported Tableau Not Supported Teradata VantageCloud Supported Show More Integrations View All 14 Integrations
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