Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gather all your unstructured data to meet your LLM requirements effectively. Datavolo transforms single-use, point-to-point coding into rapid, adaptable, reusable pipelines, allowing you to concentrate on what truly matters—producing exceptional results. As a dataflow infrastructure, Datavolo provides you with a significant competitive advantage. Enjoy swift, unrestricted access to all your data, including the unstructured files essential for LLMs, thereby enhancing your generative AI capabilities. Experience pipelines that expand alongside you, set up in minutes instead of days, without the need for custom coding. You can easily configure sources and destinations at any time, while trust in your data is ensured, as lineage is incorporated into each pipeline. Move beyond single-use pipelines and costly configurations. Leverage your unstructured data to drive AI innovation with Datavolo, which is supported by Apache NiFi and specifically designed for handling unstructured data. With a lifetime of experience, our founders are dedicated to helping organizations maximize their data's potential. This commitment not only empowers businesses but also fosters a culture of data-driven decision-making.
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
Databricks
Yes
Snowflake
Yes
Amazon S3
No
Brandwatch
No
CustomerGauge
No
Innovid
No
Jira
No
Klaviyo
No
Meta Audience Network
No
Oracle Moat
No
Integrations
Databricks
Yes
Snowflake
Yes
Amazon S3
Yes
Brandwatch
Yes
CustomerGauge
Yes
Innovid
Yes
Jira
Yes
Klaviyo
Yes
Meta Audience Network
Yes
Oracle Moat
Yes
Pricing Details
$36,000 per year
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
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
Yes
Live Rep (24/7)
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Datavolo
Founded
2023
Country
United States
Website
datavolo.io
Vendor Details
Company Name
Rivery
Founded
2017
Country
United States
Website
rivery.io
Product Features
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