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Average Ratings 0 Ratings
Description
Dashtera is a high-performance data visualization platform built to create powerful dashboards capable of processing large-scale data in real time. Powered by GPU-accelerated technology, the platform delivers extremely fast rendering speeds and smooth user interactions even when working with massive datasets. Users can easily connect a wide range of data sources, including SQL databases, real-time streaming feeds, and imported files such as CSV, JSON, and XML. Dashtera provides advanced charting tools that help users transform complex data into clear visual insights through interactive dashboards. These dashboards allow users to monitor trends, identify outliers, and analyze information instantly with minimal latency. The platform supports multiple industries including finance, engineering, business intelligence, healthcare, and industrial automation. Its advanced visualization features include high-resolution charts, customizable themes, and interactive elements that make data presentations more engaging. Dashtera also supports real-time reporting with millisecond-level data updates for high-frequency data streams. Teams can share dashboards securely within their organization or publish them publicly for broader audiences. By combining powerful analytics, high-speed performance, and flexible data connectivity, Dashtera helps organizations turn large datasets into actionable insights.
Description
SciChart is a versatile, high-performance charting and data visualization library designed for cross-platform development, offering GPU-accelerated, real-time 2D and 3D charting components tailored for applications built with JavaScript, WPF/.NET, iOS, macOS, and Android. This powerful suite allows developers to efficiently visualize millions to billions of data points with minimal lag, enabling the creation of intricate interactive dashboards, scientific graphs, and real-time telemetry displays without suffering from performance degradation. Its proprietary Visual Xccelerator engine, along with support for WebGL and WebAssembly, ensures that charts can refresh at high frame rates even when managing the substantial data loads common in big-data scenarios, financial trading, and instrumentation applications. Furthermore, SciChart provides a comprehensive API that supports extensive customization options, including axes, annotations, interaction modifiers, themes, and advanced chart types such as heatmaps, polar plots, 3D surface meshes, and candlestick charts, facilitating seamless integration into contemporary development processes while enhancing user experiences. With its robust features and capabilities, SciChart stands out as a leading solution for those needing dynamic and responsive data visualizations.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
.NET
Angular
Avalonia UI
C#
Java
JavaScript
Kotlin
OpenGL
React
Swift
Integrations
.NET
Angular
Avalonia UI
C#
Java
JavaScript
Kotlin
OpenGL
React
Swift
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Dashtera
Founded
2026
Country
Finland
Website
dashtera.com
Vendor Details
Company Name
SciChart
Founded
2010
Country
United Kingdom
Website
www.scichart.com
Product Features
Dashboard
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery