Azure Synapse Analytics vs. Dataiku Comparison


Azure Synapse Analytics Microsoft	Dataiku	+	+
Learn More Update Features	Learn More Update Features	Add To Compare	Add To Compare


		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. This unified workspace streamlines the entire analytics process. 2,027 Ratings Visit Website TIMi 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. 68 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. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets. AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes. Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery, SAP-to-Microsoft analytics architectures and repeatable data product engineering. 46 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. 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. 14 Ratings Visit Website Denodo Denodo is an intelligent data platform that helps organizations deliver live, unified, and governed data for trustworthy AI, analytics, and self-service initiatives. The platform uses logical data management to connect distributed data across hybrid, multi-cloud, on-premises, SaaS, and third-party environments without requiring data movement or duplication. Denodo helps businesses integrate data silos, enable self-service access, enforce governance, deliver real-time insights, and enrich data with business context. It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance. 388 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. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website Google Cloud Platform Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. 61,066 Ratings Visit Website RaimaDB RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. 12 Ratings Visit Website DbVisualizer DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features: - SQL editor with autocomplete, visual query builders, variables, and execution tools - AI Assistant for questions, error explanations, and code analysis - Built-in Git integration for SQL scripts and collaboration - Customizable layouts, key bindings, and UI themes - Favorite scripts and database objects for quick access - Configurable security settings for organizations Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries. 585 Ratings Visit Website Plauti For Salesforce and Microsoft Dynamics 365 CE teams who want to run reports, automation and AI only on data they can trust, Plauti is the native data-quality platform that diagnoses, cleans and makes data actionable without it ever leaving the CRM. Unlike bolt-on tools that export your data or native features that stop at detection, Plauti gives configurable, governed control across Salesforce and Dynamics — so the AI, analytics, and revenue engine on top can finally trust the data underneath. 124 Ratings Visit Website
About Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.	About Dataiku is an enterprise AI platform designed to help organizations move from fragmented AI efforts to fully scalable and governed AI success. It brings together people, data, and technology into a single system that enables collaboration between domain experts and technical teams. The platform allows users to build, deploy, and manage AI models, analytics workflows, and AI agents with greater efficiency. Dataiku emphasizes orchestration by connecting data sources, applications, and machine learning processes into unified pipelines. It also provides strong governance capabilities, helping organizations monitor performance, control costs, and reduce risks across AI initiatives. Businesses across industries use Dataiku to modernize analytics, automate workflows, and scale machine learning across teams. With proven results from global enterprises, the platform supports faster innovation and measurable ROI through AI-driven solutions.
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	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience IT and data teams searching for a powerful Data Warehouse solution	Audience Large enterprises and data-driven organizations seeking to scale, govern, and operationalize AI across teams and business functions
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Supported	Pricing No information available. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 3.0 / 5 ease 3.0 / 5 features 2.0 / 5 design 4.0 / 5 support 2.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 4.0 / 5 Read all reviews
Pros & Cons from Real Users Pros It feels familiar because we use a lot of Azure services and is good for data storage and for data warehousing. Cons Limited functionality in terms of prep and blend and a reliance on sql coding.	Pros & Cons from Real Users Pros (+) Integration with various data sources like snowflake, s3, and many other platforms. (+) You can code in various languages like python, R, SQL. (+) Easy to use and adapt and has a very neat interface. (+) You can create a flowchart of your entire project in a pictorial representation. (+) Multiple collaborators can work at a time on a single project. Cons (-) Limited representation (Visualization) capabilities. (-) Its inability to compile the entire code into one document. (-) Reloading of code is an issue (UI Problem).
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/synapse-analytics/	Company Information Dataiku Founded: 2013 France www.dataiku.com
Alternatives Snowflake	Alternatives Gemini Enterprise Agent Platform Google
Teradata VantageCloud Teradata	SCIKIQ
Amazon Redshift Amazon	TIMi
Google Cloud BigQuery Google	Anaconda
Databricks View All	Domino Enterprise AI Platform Domino Data Lab View All
Categories Big Data Supported Columnar Databases Supported Data Analysis Supported Data Engineering Supported Data Management Supported Data Preparation Supported Data Science Supported Data Warehouse Supported Database Supported ETL Supported OLAP Databases Supported Predictive Analytics Supported	Categories Agentic AI Supported AI Data Analytics Supported AI Gateways Supported AI Governance Supported AI Infrastructure Supported AI Orchestration Supported Anomaly Detection Supported Artificial Intelligence Supported Data Analysis Supported Data Management Supported Data Preparation Supported Data Science Supported Machine Learning Supported ML Model Deployment Supported
Show More Features Data Warehouse Features Ad hoc Query Not Supported Analytics Supported Data Integration Not Supported Data Migration Not Supported Data Quality Control Not Supported ETL - Extract / Transfer / Load Not Supported In-Memory Processing Not Supported Match & Merge Supported	Data Analysis Features Data Discovery Supported Data Visualization Supported High Volume Processing Not Supported Predictive Analytics Supported Regression Analysis Not Supported Sentiment Analysis Not Supported Statistical Modeling Not Supported Text Analytics Not Supported Show More Features Artificial Intelligence Features Chatbot Not Supported For eCommerce Supported For Healthcare Supported For Sales Supported Image Recognition Not Supported Machine Learning Not Supported Multi-Language Not Supported Natural Language Processing Not Supported Predictive Analytics Supported Process/Workflow Automation Supported Rules-Based Automation Not Supported Virtual Personal Assistant (VPA) Not 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
Integrations Azure Marketplace Supported Pantomath Supported AnalyticsCreator Supported Apache Hive Not Supported ClicData Supported DataClarity Unlimited Analytics Supported DataOps.live Not Supported Dimodelo Supported Electrik.Ai Supported HubSpot CRM Not Supported Hugging Face Not Supported ID Privacy AI Supported LinkedIn Not Supported Oncrawl Not Supported Polytomic Supported Salesforce Data 360 Supported Snowflake Not Supported Stonebranch Supported Tailor Supported TensorFlow Not Supported Show More Integrations View All 85 Integrations	Integrations Azure Marketplace Supported Pantomath Supported AnalyticsCreator Not Supported Apache Hive Supported ClicData Not Supported DataClarity Unlimited Analytics Not Supported DataOps.live Supported Dimodelo Not Supported Electrik.Ai Not Supported HubSpot CRM Supported Hugging Face Supported ID Privacy AI Not Supported LinkedIn Supported Oncrawl Supported Polytomic Not Supported Salesforce Data 360 Not Supported Snowflake Supported Stonebranch Not Supported Tailor Not Supported TensorFlow Supported Show More Integrations View All 37 Integrations
Claim Azure Synapse Analytics and update features and information Claim Azure Synapse Analytics and update features and information	Claim Dataiku and update features and information Claim Dataiku and update features and information