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
Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud.
Key Features:
Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines.
Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance.
Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects.
Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Redshift
No
Apache Cassandra
No
AppsFlyer
No
Couchbase
No
Criteo
No
Google Sheets
No
InsightSquared
No
Keepcon
No
Kochava
No
Orchestra
No
Integrations
Amazon Redshift
Yes
Apache Cassandra
Yes
AppsFlyer
Yes
Couchbase
Yes
Criteo
Yes
Google Sheets
Yes
InsightSquared
Yes
Keepcon
Yes
Kochava
Yes
Orchestra
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.75 Per Credit
Rivery has pricing plans ranging from self service to enterprise. All plans include unlimited data sources, unlimited destinations, transformations, and full workflow orchestration features. Rivery’s usage-based pricing is based on pipeline executions, not number of rows or compute hours. Enjoy simple, flexible plans that scale as your business grows.
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Datumize
Founded
2014
Country
Spain
Website
www.datumize.com
Vendor Details
Company Name
Rivery
Founded
2017
Country
United States
Website
rivery.io
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
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
Yes
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
Yes
Master Data Management
Yes
Match & Merge
Yes
Data Management Platforms (DMP)
Ad Network Integration
No
Analytics / ROI Tracking
Yes
Audience Targeting
No
Behavioral Analytics
No
CRM
No
Campaign Management
No
Competitive Analysis
No
Customer Journey Mapping
No
Data Capture / Transfer
Yes
Data Classification
No
Data Visualization
Yes
Data Preparation
Collaboration Tools
No
Data Access
Yes
Data Blending
Yes
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
Yes
Data Modeling
Yes
Data Transformation
Yes
Machine Learning
No
Visual User Interface
Yes
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes
Integration
Dashboard
Yes
ETL - Extract / Transform / Load
Yes
Metadata Management
Yes
Multiple Data Sources
Yes
Web Services
Yes