Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Data serves as the fundamental asset for all digital transformation efforts. Numerous initiatives encounter obstacles due to the misconception that data quality and availability are guaranteed. Yet, the stark truth is that obtaining relevant data often proves to be challenging, costly, and disruptive. The Datumize Data Collector (DDC) functions as a versatile and lightweight middleware designed to extract data from intricate, frequently transient, and legacy data sources. This type of data often remains largely untapped since accessible methods for retrieval are lacking. By enabling organizations to gather data from various sources, DDC also facilitates extensive edge computing capabilities, which can incorporate third-party applications, such as AI models, while seamlessly integrating the output into preferred formats and storage solutions. Ultimately, DDC presents a practical approach for businesses looking to streamline their digital transformation efforts by efficiently collecting essential operational and business data. Its ability to bridge the gap between complex data environments and actionable insights makes it an invaluable tool in today's data-driven landscape.
Description
Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.
API Access
Has API
No
API Access
Has API
No
Integrations
AdRoll
No
Amazon Kinesis
No
Amazon S3
No
Apache Kafka
No
Braintree
No
Google Ads
No
Google Analytics
No
Greenhouse
No
Heap
No
HubSpot CRM
No
Integrations
AdRoll
Yes
Amazon Kinesis
Yes
Amazon S3
Yes
Apache Kafka
Yes
Braintree
Yes
Google Ads
Yes
Google Analytics
Yes
Greenhouse
Yes
Heap
Yes
HubSpot CRM
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Datumize
Founded
2014
Country
Spain
Website
www.datumize.com
Vendor Details
Company Name
Mozart Data
Founded
2020
Country
United States
Website
www.mozartdata.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
Yes
Data Mining
No
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
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
Yes
Sensitive Data Identification
No
Visual Analytics
No
Data Extraction
Disparate Data Collection
Yes
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
No
Deletion Management
Yes
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
Yes
Master Data Management
Yes
Match & Merge
No
Data Preparation
Collaboration Tools
No
Data Access
Yes
Data Blending
No
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
No
Data Modeling
No
Data Transformation
Yes
Machine Learning
No
Visual User Interface
Yes
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
Yes
Data Profililng
No
Master Data Management
Yes
Match & Merge
No
Metadata Management
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
Yes
Match & Merge
No
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
Yes