AWS Quick Sight vs. JMP Statistical Software Comparison


AWS Quick Sight Amazon	JMP Statistical Software JMP Statistical Discovery 5.0 out of 5 stars	+	+
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		Related Products 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 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 Grafana Cloud Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the world’s most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms (3x) and furthest in Completeness of Vision (2025, 2026), Grafana Labs supports more than 25 million users and thousands of organizations, from startups to the Fortune 500. Grafana Cloud is the open observability cloud, built on open source, open standards, and open ecosystems. Powered by the LGTM stack—Grafana (visualization), Mimir (metrics), Loki (logs) & Tempo (traces)—it unifies telemetry in one platform for full-stack visibility across applications, infrastructure, and digital experiences. With the AI-powered Grafana Assistant and Adaptive Telemetry suite, teams detect and resolve issues faster, reduce wasteful telemetry spend, and gain real-time insights to ensure reliability. Native OTel support and 100s of integrations mean you can plug in existing tools & data sources. 4.6 out of 5 stars 673 Ratings Visit Website for Grafana Cloud ClickUp Every day your team loses hours bouncing between disconnected apps. The problem isn't your people. It's that your software was never built to work together. Bundling tools doesn't fix it. You need convergence. ClickUp is one platform where projects, docs, chat, goals, and AI share the same foundation so nothing gets lost. AI Agents handle busywork around the clock. Context is always intact. Your whole operation finally runs like it should. Tasks, 15+ views, automations, real-time docs, built-in chat, time tracking, whiteboards, goals with automatic rollups, and 1,000+ integrations. All connected. All in one place. Enterprise-ready: SOC 2 Type II, SSO/SAML, advanced permissions. Trusted by teams from startups to the Fortune 500. Stop patching a broken system. Get back the hours your team was never supposed to lose. Free Forever plan available. No credit card required. 4.6 out of 5 stars 19,572 Ratings Visit Website for ClickUp 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. 4.8 out of 5 stars 593 Ratings Visit Website for DbVisualizer Banker's Dashboard Get anytime, anywhere access to your bank or credit union’s financial performance. Get insights into your bank or credit union’s financial performance from anywhere with secure, cloud-based access. Get margin components, branch performance, forecasts and more with point-and-click simplicity. Banker’s Dashboard and Credit Union dashboard integrate seamlessly with your core processor. Quick and easy setup, so you can start improving your bottom line right away. Automate reporting and eliminate errors, freeing you to focus on more value-added tasks. Quickly run and revise multiple forecast scenarios, so you can analyze variances and alternative strategies. Measure and compare branch performance. Institute best practices and hold each branch accountable for better results. 4.8 out of 5 stars 6 Ratings Visit Website for Banker's Dashboard Intellimas Intellimas is a highly configurable, low code solution with spreadsheet features. It allows you to build enterprise level, web apps that end users love. Intellimas is built for fast data entry, analytics, exception management, and easy retrieval of live data from other systems. The multi-level grid UI allows for a quick transition from spreadsheets. This comprehensive view, along with our form view, provide you with the flexibility to handle unlimited business processes. Intellimas is deployed on-premise or in the cloud. It features field level security, mass update capabilities, configurable alerts, integration tools, image viewing, and workflow management. Intellimas replaces mega-spreadsheets, custom solutions, and inefficient systems with repeatable processes, one version of the truth, and the ability to adapt to a volatile business climate. Organizations typically implement Intellimas for one process and usually find several other use cases for it in a short period of time. 4.7 out of 5 stars 30 Ratings Visit Website for Intellimas 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 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 Fraud.net Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow. The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Request your demo today and discover Fraudnet. 4.7 out of 5 stars 57 Ratings Visit Website for Fraud.net
About AWS Quick Sight is an AI-powered business intelligence and data visualization platform that helps organizations analyze business information, create interactive dashboards, and make data-driven decisions. The software connects to databases, cloud data warehouses, enterprise applications, and other data sources to provide centralized reporting and analytics. Its natural language querying capabilities allow users to ask questions about their data and generate charts, summaries, and insights without writing complex SQL queries. AWS Quick Sight supports customizable dashboards, automated reports, predictive analytics, and AI-assisted data exploration to identify trends and monitor business performance. Developers can embed interactive visualizations, dashboards, and conversational analytics directly into websites, applications, and business portals.	About JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Business analysts, data analysts, business intelligence professionals, financial analysts, data engineers, software developers, product managers, sales operations teams, marketing analysts, enterprise executives, cloud architects, and organizations seeking AI-powered business intelligence, interactive dashboards, embedded analytics, natural language data querying, automated reporting, and scalable cloud-based data visualization	Audience Scientists, Engineers, Researchers, and Analysts
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support 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 No information available. Free Version Not Supported Free Trial Supported	Pricing $1320/year/user $1320/year/user. Bulk discounts available. Free Version Not Supported Free Trial Supported
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	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros JMP combines the intuitive programing of Excel with the power of the SAS platform. An awesome environment in which to acquaint people with stats outside of the 'basics'. Cons Few. The graphs are not necessarily as pretty as I would like, but the ability to quickly construct and modify a graph or analysis definitely make my complaint more of a gripe.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/quick/quicksight/	Company Information JMP Statistical Discovery Founded: 1989 United States www.jmp.com
Alternatives Domo 4.6 out of 5 stars	Alternatives Minitab Statistical Software Minitab 5.0 out of 5 stars
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Quaeris Quaeris, Inc. 5.0 out of 5 stars	TIMi 4.9 out of 5 stars
Looker Google 4.8 out of 5 stars View All	IBM SPSS Statistics IBM 4.4 out of 5 stars View All
Categories AI Data Analytics Supported Big Data Supported Business Intelligence Supported Business Performance Management Supported Dashboard Supported Data Analysis Supported Data Modeling Supported Data Visualization Supported Embedded Analytics Supported Marketing Analytics Supported Predictive Analytics Supported Product Analytics Supported Reporting Supported Sales Analytics Supported Software Development Analytics Supported	Categories Dashboard Supported Data Analysis Supported Data Cleansing Supported Data Discovery Supported Data Mining Supported Data Modeling Supported Data Preparation Supported Data Visualization Supported Graphing Supported Predictive Analytics Supported Qualitative Data Analysis Supported Statistical Analysis Supported
	Dashboard Features Annotations Not Supported Data Source Integrations Supported Functions / Calculations Supported Interactive Supported KPIs Supported OLAP Not Supported Private Dashboards Supported Public Dashboards Supported Scorecards Not Supported Themes Not Supported Visual Analytics Supported Widgets 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 Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Supported Filtered Views Supported OLAP Not Supported Relational Display Supported Simulation Models Supported Visual Discovery Supported Predictive Analytics Features AI / Machine Learning Supported Benchmarking Supported Data Blending Supported Data Mining Supported Demand Forecasting Supported For Education Supported For Healthcare Supported Modeling & Simulation Supported Sentiment Analysis Supported Show More Features 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 Not Supported Raw Data Ingestion Supported Sample Testing Supported Validation / Matching / Reconciliation Not 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 Mining Features Data Extraction Supported Data Visualization Supported Fraud Detection Supported Linked Data Management Supported Machine Learning Supported Predictive Modeling Supported Semantic Search Supported Statistical Analysis Supported Text Mining Supported Data Preparation Features Collaboration Tools Supported Data Access Supported Data Blending Supported Data Cleansing Supported Data Governance Supported Data Mashup Supported Data Modeling Supported Data Transformation Supported Machine Learning Supported Visual User Interface Supported Qualitative Data Analysis Features Annotations Supported Collaboration Supported Data Visualization Supported Media Analytics Supported Mixed Methods Research Supported Multi-Language Supported Qualitative Comparative Analysis Supported Quantitative Content Analysis Supported Sentiment Analysis Supported Statistical Analysis Supported Text Analytics Supported User Research Analysis Supported Statistical Analysis Features Analytics Supported Association Discovery Supported Compliance Tracking Supported File Management Supported File Storage Supported Forecasting Supported Multivariate Analysis Supported Regression Analysis Supported Statistical Process Control Supported Statistical Simulation Supported Survival Analysis Supported Time Series Supported Visualization Supported
Integrations Amazon Redshift Supported APERIO DataWise Supported AWS App Mesh Supported AWS Clean Rooms Supported AWS HealthLake Supported Amazon Aurora Not Supported Amazon Q Supported DataHawk Supported ECP Supported EMnify Supported FACS Not Supported Hive Not Supported JSON Not Supported Motivity Supported Oomnitza Supported OpenMetadata Supported SAP HANA Not Supported SAS Visual Analytics Not Supported SQLite Not Supported SciCord Not Supported Show More Integrations View All 33 Integrations	Integrations Amazon Redshift Supported APERIO DataWise Not Supported AWS App Mesh Not Supported AWS Clean Rooms Not Supported AWS HealthLake Not Supported Amazon Aurora Supported Amazon Q Not Supported DataHawk Not Supported ECP Not Supported EMnify Not Supported FACS Supported Hive Supported JSON Supported Motivity Not Supported Oomnitza Not Supported OpenMetadata Not Supported SAP HANA Supported SAS Visual Analytics Supported SQLite Supported SciCord Supported Show More Integrations View All 33 Integrations
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