Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Data Explorer is an efficient and fully managed analytics service designed for swift analysis of vast amounts of data that originate from various sources such as applications, websites, and IoT devices. Users can pose questions and delve into their data in real-time, allowing for enhancements in product development, customer satisfaction, device monitoring, and overall operational efficiency. This service enables quick detection of patterns, anomalies, and emerging trends within the data landscape. Users can formulate and receive answers to new inquiries within minutes, and the framework allows for unlimited queries thanks to its cost-effective structure. With Azure Data Explorer, organizations can discover innovative ways to utilize their data without overspending. By prioritizing insights over infrastructure, users benefit from a straightforward, fully managed analytics platform. This service is adept at addressing the challenges posed by fast-moving and constantly evolving data streams, making analytics more accessible and efficient for all types of streaming information. Ultimately, Azure Data Explorer empowers businesses to leverage their data in transformative ways.
Description
Cinchapi is an all-encompassing platform for data discovery, analytics, and automation that leverages machine learning technology. It is adept at comprehending various forms of natural language, including industry-specific terminologies. For those moments when more in-depth analysis is required, users can easily pose follow-up questions to refine their data inquiries. The platform continually evolves by learning from both implicit and explicit user interactions, gradually becoming more attuned to your data requirements even before you articulate them. By efficiently processing vast amounts of data, Cinchapi highlights key insights, allowing you to concentrate on what truly matters rather than getting lost in irrelevant details. Utilizing a blend of machine learning and sophisticated heuristics, it enhances your data with valuable additional context. Furthermore, Cinchapi features a version-control database that enables users to pause or rewind real-time data, facilitating an extensive exploration of all potential dimensions. This innovative approach not only streamlines the data analysis process but also empowers users to make more informed decisions.
API Access
Has API
API Access
Has API
Integrations
Azure Confidential Computing
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
Microsoft Azure
Integrations
Azure Confidential Computing
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
Microsoft Azure
Pricing Details
$0.11 per hour
Free Trial
Free Version
Pricing Details
No price information available.
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/data-explorer/
Vendor Details
Company Name
Cinchapi
Founded
2016
Country
United States
Website
cinchapi.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization