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Ratings and Reviews 0 Ratings
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Datavore is a user-friendly platform that allows for in-depth data analysis without coding, providing quick and accurate insights for users. What sets Datavore apart? It enhances your productivity by effortlessly merging various signals into one cohesive workflow. You can easily identify and keep track of indicators across diverse datasets, which aids in validating and testing these signals with precision. The platform allows you to organize your data systematically, ensuring that everything is stored in one centralized location for easy access. With dynamic filtering options, you can swiftly navigate both internal and external data sources. Explore your data further by designing dashboards that facilitate comparison, evaluation, and continuous tracking of essential metrics. This enables you to effectively assess and monitor numerous indicators from different datasets. Additionally, you can conduct comprehensive proprietary research by developing sophisticated forecasting models and running regression analyses. Datavore combines the versatility of Excel with the expansive capabilities of the cloud, streamlining quantitative research while automating repetitive tasks. Users can harness Excel-like syntax to formulate custom functions and utilize existing time series formulas seamlessly. The patented ingestion engine aids in uncovering concepts and relationships that exist within large datasets. Furthermore, you can align your data with the company’s financial calendar or any specified periods to maintain accuracy in your reporting. By effectively aggregating data, you can significantly boost the quality of your analysis while ensuring that insights are readily available. As a result, Datavore empowers users to make data-driven decisions with confidence and ease.
What is DataMelt?
DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements.
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Integrations Supported
Apache NetBeans
Eclipse BIRT
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Datavore Labs
Company Location
United States
Company Website
www.datavorelabs.com
Company Facts
Organization Name
jWork.ORG
Date Founded
2005
Company Location
United States
Company Website
datamelt.org
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
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