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features
design
support

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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 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Apache Cassandra No 
AppsFlyer No 
Couchbase No 
Criteo No 
Google Sheets No 
InsightSquared No 
Keepcon No 
Kochava No 
Orchestra No 
Pinterest No 
Pipedrive No 
Segment No 
Socialbakers No 
X (Twitter) No 
X Ads (Twitter Ads) No 
YouTube No 
Zendesk Chat 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 
Pinterest Yes 
Pipedrive Yes 
Segment Yes 
Socialbakers Yes 
X (Twitter) Yes 
X Ads (Twitter Ads) Yes 
YouTube Yes 
Zendesk Chat 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 

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