AtScale vs. Snowflake Comparison


AtScale	Snowflake 4.8 out of 5 stars
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AtScale	Snowflake
		Related Products Denodo Denodo offers an AI Data Layer 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. 4.6 out of 5 stars 388 Ratings Visit Website for Denodo 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. 4.6 out of 5 stars 46 Ratings Visit Website for AnalyticsCreator 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. 4.5 out of 5 stars 2,037 Ratings Visit Website for Google Cloud BigQuery 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. 4.8 out of 5 stars 6 Ratings Visit Website for DataBuck 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. 4.6 out of 5 stars 14 Ratings Visit Website for SCIKIQ 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. 4.5 out of 5 stars 61,093 Ratings Visit Website for Google Cloud Platform D&B Finance Analytics Manage credit risk at scale with trusted business context, AI-powered guidance, and advanced analytics in one powerful credit management solution. D&B Finance Analytics helps finance teams quickly research companies, understand emerging risks, monitor portfolio changes, and prioritize the actions that matter most. Powered by the D&B Commercial Graph, the solution brings together trusted business data, predictive analytics, automation, and AI to help organizations accelerate credit decisions, improve onboarding efficiency, reduce manual effort, and gain a clearer view of portfolio risk. With the insights and context needed to act confidently, teams can work more efficiently, make more consistent decisions, and proactively manage changing risk. 4.2 out of 5 stars 802 Ratings Visit Website for D&B Finance Analytics 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. 4.9 out of 5 stars 68 Ratings Visit Website for TIMi 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. 4.8 out of 5 stars 12 Ratings Visit Website for RaimaDB Google Compute Engine Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. 4.4 out of 5 stars 1,169 Ratings Visit Website for Google Compute Engine
AtScale: About AtScale helps accelerate and simplify business intelligence resulting in faster time-to-insight, better business decisions, and more ROI on your Cloud analytics investment. Eliminate repetitive data engineering tasks like curating, maintaining and delivering data for analysis. Define business definitions in one location to ensure consistent KPI reporting across BI tools. Accelerate time to insight from data while efficiently managing cloud compute costs. Leverage existing data security policies for data analytics no matter where data resides. AtScale’s Insights workbooks and models let you perform Cloud OLAP multidimensional analysis on data sets from multiple providers – with no data prep or data engineering required. We provide built-in easy to use dimensions and measures to help you quickly derive insights that you can use for business decisions.	Snowflake: 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.
AtScale: 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	Snowflake: 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
AtScale: Audience Semantic layer software for modern BI and data science teams	Snowflake: Audience Organizations interested in a powerful and comprehensive cloud data platform
AtScale: Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Snowflake: Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
AtScale: API Offers API Not Supported	Snowflake: API Offers API Not Supported
AtScale: Screenshots and Videos View more images or videos	Snowflake: Screenshots and Videos View more images or videos
AtScale: Pricing No information available. Free Version Not Supported Free Trial Not Supported	Snowflake: 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
AtScale: 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	Snowflake: Reviews/Ratings Overall 4.8 / 5 ease 4.8 / 5 features 5.0 / 5 design 4.8 / 5 support 4.8 / 5 Read all reviews
	Snowflake: 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.
AtScale: Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported	Snowflake: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
AtScale: Company Information AtScale Founded: 2013 United States www.atscale.com	Snowflake: Company Information Snowflake Founded: 2012 United States www.snowflake.com
AtScale: Alternatives Apache Kylin Apache Software Foundation	Snowflake: Alternatives Google Cloud BigQuery Google 4.5 out of 5 stars
AtScale: Kyvos Semantic Layer Kyvos Insights 4.9 out of 5 stars	Snowflake: Amazon Web Services (AWS) Amazon 4.8 out of 5 stars
AtScale: Codd AI	Snowflake: Denodo Denodo Technologies 4.6 out of 5 stars
AtScale: Denodo Denodo Technologies 4.6 out of 5 stars	Snowflake: Databricks
AtScale: Dremio View All	Snowflake: Teradata VantageCloud Teradata 5.0 out of 5 stars View All
AtScale: Categories Big Data Supported Data Engineering Supported Data Fabric Supported Data Virtualization Supported Data Warehouse Supported Semantic Layer Supported	Snowflake: Categories AI Cloud Providers Supported AI Infrastructure Supported Big Data Supported Columnar Databases Supported Data as a Service (DaaS) 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 Database Management Systems (DBMS) Supported ETL Supported LLM API Supported Machine Learning Supported OLAP Databases Supported Query Engines Supported SQL Databases Supported
	Snowflake: 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 Show More Features 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 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
AtScale: Integrations Amazon Web Services (AWS) Supported Grok Bot Supported Microsoft Power Query Supported AI Query Not Supported Alchemist Not Supported CASIE Not Supported CONVAYR Not Supported Canvas AI Not Supported Customer.io Not Supported DataTrust Not Supported Foothold Not Supported Helpware Not Supported ID Privacy AI Not Supported Onehouse Not Supported Ours Privacy Not Supported PeerDB Not Supported Supermetrics Not Supported Tableau Supported Windmill Not Supported Zelthy Compliance Not Supported Show More Integrations View All 7 Integrations	Snowflake: Integrations Amazon Web Services (AWS) Supported Grok Bot Supported Microsoft Power Query Supported AI Query Supported Alchemist Supported CASIE Supported CONVAYR Supported Canvas AI Supported Customer.io Supported DataTrust Supported Foothold Supported Helpware Supported ID Privacy AI Supported Onehouse Supported Ours Privacy Supported PeerDB Supported Supermetrics Supported Tableau Not Supported Windmill Supported Zelthy Compliance Supported Show More Integrations View All 1066 Integrations
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