Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Forget about intricate SQL queries and complicated programming languages; just input your question, and let SayData take care of everything. With its advanced natural language processing capabilities, you can effortlessly delve into your data and discover insights that may have previously eluded you. Our extensive range of data visualization and analysis tools empowers you to explore your data and reveal findings in real time. You can also create tailored dashboards and reports that present your data in a straightforward manner, allowing for immediate understanding and action. SayData is specifically designed to comprehend and respond to inquiries that pertain to your unique business needs. Users can access an intuitive dashboard portal where they can securely log in and view their personalized data. Additionally, sharing analytics is as simple as sending a shareable link, and you can seamlessly integrate SayData into your Slack workspace for enhanced collaboration. We prioritize your data privacy, employing top-tier security measures and conducting annual penetration tests to maintain our commitment to outstanding security. This ensures that you can focus on your insights without worrying about data safety.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Athena
No
ClickHouse
No
MariaDB
No
MongoDB
No
MySQL
No
PostgreSQL
No
Slack
No
Snowflake
No
Integrations
Amazon Athena
Yes
ClickHouse
Yes
MariaDB
Yes
MongoDB
Yes
MySQL
Yes
PostgreSQL
Yes
Slack
Yes
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$20 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cinchapi
Founded
2016
Country
United States
Website
cinchapi.com
Vendor Details
Company Name
SayData
Country
United States
Website
saydata.tech/
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Embedded Analytics
Ad hoc Query
No
Application Development
No
Benchmarking
No
Dashboard
No
Interactive Reports
No
Mobile Reporting
No
Multi-User Collaboration
No
Self Service Analytics
No
Streaming Analytics
No
Visual Workflow Management
No