Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    593 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Grafana Cloud Reviews & Ratings
    861 Ratings
    Company Website
  • D&B Connect Reviews & Ratings
    189 Ratings
    Company Website
  • Bright Data Reviews & Ratings
    1,430 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website

What is JMP Statistical Software?

JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations. Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively. Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.

What is Cloud Dataprep?

Trifacta's Cloud Dataprep is an innovative data service tailored for the visual exploration, cleaning, and organization of structured and unstructured datasets, which aids in analysis, reporting, and machine learning endeavors. Its serverless design enables operation at any scale, freeing users from the complexities of infrastructure management and deployment. The system intelligently anticipates your next ideal data transformation with each interaction in the user interface, thus eliminating the need for manual coding altogether. As a partner service of Trifacta, Cloud Dataprep leverages their acclaimed data preparation technology to boost its capabilities. Google works in close partnership with Trifacta to provide a seamless user experience, obviating the need for initial software installations, additional licensing costs, or ongoing maintenance efforts. Fully managed and capable of scaling as needed, Cloud Dataprep is adept at adapting to your shifting data preparation needs, allowing you to focus on your analytical goals. This cutting-edge service ultimately enables users to optimize their workflows and enhance productivity, making data preparation a more efficient process. Moreover, as the landscape of data continues to evolve, Cloud Dataprep remains agile, ensuring that users can keep pace with their analytical demands seamlessly.

Media

Media

Integrations Supported

Google Sheets
Amazon Aurora
Amazon Redshift
IBM Db2
JSON
MATLAB
Microsoft Access
MySQL
PostgreSQL
Python
R
SAP HANA
SAS Visual Analytics
SQL Server
SciCord
Teradata QueryGrid

Integrations Supported

Google Sheets
GlobalSUITE
Google Cloud BigQuery
Hosted Graphite
Openbridge

API Availability

API Availability

Pricing Information

$1320/year/user
$1320/year/user. Bulk discounts available.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

JMP Statistical Discovery

Date Founded

1989

Company Location

United States

Company Website

www.jmp.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataprep

Categories and Features

Dashboard

Data Source Integrations
Functions / Calculations
Interactive
KPIs
Private Dashboards
Public Dashboards
Visual Analytics
Widgets

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Sample Testing

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Modeling

Not specified

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Visualization

Analytics
Dashboard Creation
Filtered Views
Relational Display
Simulation Models
Visual Discovery

Graphing

Not specified

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

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

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Data Cleansing

Not specified

Data Preparation

Not specified

Data Visualization

Not specified

Machine Learning

Not specified

Popular Alternatives

Popular Alternatives

Alchemite Reviews & Ratings

Alchemite

Intellegens
ndCurveMaster Reviews & Ratings

ndCurveMaster

SigmaLab Tomas Cepowski