ParaViewKitware
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Related Products
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About
ParaView is an open source, multi-platform data analysis and visualization application that enables users to build visualizations for analyzing data using qualitative and quantitative techniques. It supports interactive 3D exploration and programmatic data processing through batch processing capabilities. ParaView is designed to handle extremely large datasets using distributed memory computing resources, making it suitable for supercomputers analyzing terascale datasets as well as laptops for smaller data. The application features a client-server architecture to facilitate remote visualization of datasets and generates level-of-detail models to maintain interactive frame rates for large datasets. ParaView's extensible architecture is based on open standards, allowing for customization and integration with existing tools and workflows. It includes readers for various well-known file formats and offers more than 200 filters and tools for data processing and visualization.
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About
A flexible visual query builder lets you get answers in seconds. Analyze data from your phone or browser to work from anywhere. Natural language querying, powered by LLMs lets you ask questions using plain English.
No desktop, SQL, or data scientist needed. Shared questions let you learn from team mates, and search for any questions asked across your organization.
@mentions, push notifications, and shared chat bring the right people into the conversation and empower you to make data actionable. Easily copy and modify shared questions, export data, and change how charts are displayed to not just view somebody elses’s analysis, but instead make it your own. You can even turn on external sharing to provide access to partners outside your domain or for public datasets.
Get the underlying data tables in two taps. Even run full on custom SQL with smart typeaheads to make quick work of joins, aggregations, and calculated fields.
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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
Engineers, and researchers needing a tool to visualize and analyze large and complex datasets
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Audience
Companies looking for a collaborative Business Intelligence platform that works on mobile
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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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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$0
Free Version
Free Trial
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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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Company InformationKitware
Founded: 1998
United States
www.paraview.org
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Company InformationZing Data
Founded: 2021
United States
getzingdata.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Science Features
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Mobile App Analytics Features
A/B Testing
Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Push Notifications
Retention Tracking
Revenue Tracking
Uninstall Tracking
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Integrations
Amazon RDS
Amazon Redshift
Amazon S3
Azure Databricks
CMB
ClickHouse
Cube
Google Cloud BigQuery
Google Sheets
Google Slides
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Integrations
Amazon RDS
Amazon Redshift
Amazon S3
Azure Databricks
CMB
ClickHouse
Cube
Google Cloud BigQuery
Google Sheets
Google Slides
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