JMP Statistical Software vs. Oracle Data Miner Comparison


JMP Statistical Software JMP Statistical Discovery	Oracle Data Miner Oracle	+	+
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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. 583 Ratings Visit Website 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. 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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.	About Oracle Data Miner enables data scientists, “citizen data scientists,” and business and data analysts to work directly with data inside the database using a graphical “drag and drop” workflow editor. Oracle Data Miner (ODMr), an extension to Oracle SQL Developer, captures and documents in graphical analytical workflows the steps users take while exploring data and developing machine learning methodologies. ODMr workflows are useful for re-executing analytical methodologies and for sharing insights with team members. ODMr generates SQL and PL/SQL scripts and offers a workflow API for accelerating model deployment throughout the enterprise. Eliminate data movement, achieve big data scalability, preserve security, and accelerate time from model development to model deployment.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Scientists, Engineers, Researchers, and Analysts	Audience Data scientists and data analysts seeking a Data Mining platform to view data
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $1320/year/user $1320/year/user. Bulk discounts available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
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	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 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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information JMP Statistical Discovery Founded: 1989 United States www.jmp.com	Company Information Oracle Founded: 1977 United States www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html
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Categories Dashboard Data Analysis Data Cleansing Data Discovery Data Mining Data Modeling Data Preparation Data Visualization Graphing Predictive Analytics Qualitative Data Analysis Statistical Analysis	Categories Data Mining
Data Mining Features Data Extraction Data Visualization Fraud Detection Linked Data Management Machine Learning Predictive Modeling Semantic Search Statistical Analysis Text Mining Show More Features Dashboard Features Annotations Data Source Integrations Functions / Calculations Interactive KPIs OLAP Private Dashboards Public Dashboards Scorecards Themes Visual Analytics Widgets Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Data Cleansing Features Address/ZIP Code Cleaning Charting Data Consolidation / ETL Data Mapping Multi Data Format Support Phone/Email Validation Raw Data Ingestion Sample Testing Validation / Matching / Reconciliation Data Discovery Features Contextual Search Data Classification Data Matching False Positives Reduction Self Service Data Preparation Sensitive Data Identification Visual Analytics Data Preparation Features Collaboration Tools Data Access Data Blending Data Cleansing Data Governance Data Mashup Data Modeling Data Transformation Machine Learning Visual User Interface Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery Predictive Analytics Features AI / Machine Learning Benchmarking Data Blending Data Mining Demand Forecasting For Education For Healthcare Modeling & Simulation Sentiment Analysis Qualitative Data Analysis Features Annotations Collaboration Data Visualization Media Analytics Mixed Methods Research Multi-Language Qualitative Comparative Analysis Quantitative Content Analysis Sentiment Analysis Statistical Analysis Text Analytics User Research Analysis Statistical Analysis Features Analytics Association Discovery Compliance Tracking File Management File Storage Forecasting Multivariate Analysis Regression Analysis Statistical Process Control Statistical Simulation Survival Analysis Time Series Visualization	Data Mining Features Data Extraction Data Visualization Fraud Detection Linked Data Management Machine Learning Predictive Modeling Semantic Search Statistical Analysis Text Mining
Integrations Amazon Aurora FACS Firebird Hive IBM Db2 IBM SPSS Statistics Impala Ledge MATLAB Microsoft Excel Minitab Statistical Software MySQL Oracle API Management PostgreSQL SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Visual Analytics SQL Server SciCord Teradata QueryGrid Show More Integrations View All 33 Integrations	Integrations Amazon Aurora FACS Firebird Hive IBM Db2 IBM SPSS Statistics Impala Ledge MATLAB Microsoft Excel Minitab Statistical Software MySQL Oracle API Management PostgreSQL SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Visual Analytics SQL Server SciCord Teradata QueryGrid Show More Integrations
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