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.
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About
NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of the Excel® spreadsheet application. Customize the network graph's appearance. Zoom, scale and pan the graph. Calculate basic graph metrics. Dynamically filter vertices and edges. Alter the graph's layout. Find clusters of related vertices. The NodeXL Pro application can be licensed for a 12 month period, adding additional features. Calculate advanced graph metrics. Import and export graphs to a variety of file formats. Get social networks using built-in connections to Twitter, Facebook, Flickr, YouTube, Wikis, Blogs, Instagram, Network Surveys, and email. Automate network graph collection and creation. If you use Excel® on Windows you can download and use NodeXL Basic now. Or license NodeXL Pro for additional features.
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About
Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.
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About
Enjoy the highest performance and unlimited possibilities when working with SQLite. SQLite Data Access Components (LiteDAC) is a library of components that provides native connectivity to SQLite from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. LiteDAC is designed for programmers to develop truly cross-platform desktop and mobile SQLite database applications with no need to deploy any additional libraries. LiteDAC-based DB applications are easy to deploy and do not require the installation of other data provider layers (such as BDE or ODBC), and that's why they can work faster than the ones based on standard Delphi data connectivity solutions. Moreover, LiteDAC provides an additional opportunity to work with SQLite in Delphi and C++Builder directly by linking the client library statically in your application.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Scientists, Engineers, Researchers, and Analysts
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Audience
Companies searching for a solution to create network graphs
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Audience
Programmers in need of a tool to develop faster and cleaner SQL Server database applications
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Audience
Developer teams and anyone seeking a solution providing a library of components to build cross-platform databases
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$1320/year/user
Free Version
Free Trial
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Pricing
$749 per year
Free Version
Free Trial
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Pricing
$199.95 per year
Free Version
Free Trial
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Pricing
$169.95 per year
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationJMP Statistical Discovery
Founded: 1989
United States
www.jmp.com
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Company InformationSocial Media Research Foundation
Founded: 2010
United States
www.nodexlgraphgallery.org
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com/sdac/
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com/litedac/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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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 Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
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
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Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
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Integrations
Amazon Aurora
Amazon Redshift
C++Builder
FACS
Firebird
FreeBSD
Google Sheets
Hive
IBM Db2
Ledge
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Integrations
Amazon Aurora
Amazon Redshift
C++Builder
FACS
Firebird
FreeBSD
Google Sheets
Hive
IBM Db2
Ledge
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Integrations
Amazon Aurora
Amazon Redshift
C++Builder
FACS
Firebird
FreeBSD
Google Sheets
Hive
IBM Db2
Ledge
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Integrations
Amazon Aurora
Amazon Redshift
C++Builder
FACS
Firebird
FreeBSD
Google Sheets
Hive
IBM Db2
Ledge
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