Average Ratings 0 Ratings
Average Ratings 1 Rating
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
Megaladata is a high-speed low-code platform that empowers business users to develop sophisticated analytics workflows without requiring coding expertise or IT assistance. Featuring a user-friendly visual interface, it supports seamless integration with a wide range of data sources, making data consolidation straightforward. Its powerful in-memory computing and parallelism capabilities enable rapid processing of large and complex datasets, ensuring timely insights. The platform promotes scalability and knowledge retention through reusable components that capture business expertise for future use. With interactive visualizations like OLAP cubes, tables, and charts, users can quickly translate analytical ideas into real-world business processes. Megaladata streamlines advanced analytics, removing common technical obstacles for non-developers. It helps organizations improve agility and efficiency in handling data. Ultimately, Megaladata facilitates faster, more effective data-driven decision-making across teams.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Kafka
No
ClickHouse
No
Firebird
No
Google Cloud BigQuery
No
Greenplum
No
InterBase
No
Microsoft Access
No
Microsoft Excel
No
Microsoft Word
No
MySQL
No
Integrations
Apache Kafka
Yes
ClickHouse
Yes
Firebird
Yes
Google Cloud BigQuery
Yes
Greenplum
Yes
InterBase
Yes
Microsoft Access
Yes
Microsoft Excel
Yes
Microsoft Word
Yes
MySQL
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free, Community Edition
-Community Edition (Desktop, non-commercial use): Free
-Personal (Desktop): $399/year
-Team (Server): $21900/year
-Standard (Server): $33300/year
-Enterprise (Server): $78000/year
-Personal (Desktop): $399/year
-Team (Server): $21900/year
-Standard (Server): $33300/year
-Enterprise (Server): $78000/year
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cinchapi
Founded
2016
Country
United States
Website
cinchapi.com
Vendor Details
Company Name
Megaladata
Founded
2017
Country
Armenia
Website
megaladata.com
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
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
No