Rivery vs Keboola Comparison

94% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

Rivery

ETL Tools

4.9 128 user ratings

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88% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

Keboola

ETL Tools

4.8 93 user ratings

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Overview

Description

Rivery is a big data management platform with SaaS ELT data integration services that enable teams to connect to any data source of their choice. It assists businesses in aggregating, transforming and managing data collected from both internal and external sources in an efficient manner. Rivery’s intuitive technology allows it to harness data for management, integration and orchestration for small as well as established businesses. This data management platform also comes equipped with a plethora of robust and intuitive features that make data handling related tasks extremely simple. Also, ready-made data model kits offered by the same can be deployed with a single click besides setting a proper environment and stage to test the particular models before opting for final deployment. Rivery also enables users to define data wise logic along with native configuration for cloud DWHs. Thus eliminating all types of needs related to installation. Moreover, third-party integration facilities offered by Rivery include platforms like Instagram, Twitter, Snapchat, Tiktok, Adobe Analytics, Google Analytics and GothamAds among many others. Read more

Keboola runs a complete data stack as a service, all from one place. Everything works seamlessly together and the process is fully observable. A dataops platform built to set up data practitioners for success Read more

Pricing Options

Free Trial Available
Offers Custom plan.

Free Trial Available
Offers Free-forever and Custom plan.

SW Score & Breakdown

94% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

95%
Reviews

80%
Momentum

72%
Popularity

86%

88% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

82%
Reviews

84%
Momentum

71%
Popularity

91%

Features

Total Features	10 Features	5 Features
Common Features for All	Data Analysis Helps in analyzing stored raw data and converting them into useful reports Data Extraction Helps in extracts the data from different databases and files Data Filtering Helps in refining the data into datasets to form strategic groups Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user Data Quality Control Helps in monitoring the quality of data input and processed Data Transformation It helps in formatting the extracted data as specified in the target format. Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc. Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers Metadata Management Helps in administering and managing the data that describes other data Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time. + 7 More - Show Less	Data Analysis Helps in analyzing stored raw data and converting them into useful reports Data Extraction Helps in extracts the data from different databases and files Data Filtering Helps in refining the data into datasets to form strategic groups Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user Data Quality Control Helps in monitoring the quality of data input and processed Data Transformation It helps in formatting the extracted data as specified in the target format. Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc. Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers Metadata Management Helps in administering and managing the data that describes other data Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time. + 2 More - Show Less

Technical Details

Organization Types Supported	Large Enterprises Medium Business Small Business	Large Enterprises Medium Business Small Business
Platforms Supported	SaaS/Web/Cloud	SaaS/Web/Cloud
Modes of Support	Business Hours Online	Business Hours Online
API Support	Available	NA

Reviews & Ratings

User Rating	4.9/5 128 user ratings	4.8/5 93 user ratings
Rating Distribution	Excellent 87.5% Very Good 12.5% Average 0% Poor 0% Terrible 0%	Excellent 81.7% Very Good 17.2% Average 1.1% Poor 0% Terrible 0%
User Sentiments	User-friendly Interface, Extensive Integrations, Efficient Data Transformation, Great Customer Support Limited Customization Options, Occasional Performance Issues, Insufficient Documentation, Complex Pricing Structure	User-Friendly Interface, Extensive Integrations, Excellent Customer Support, Comprehensive Documentation New UI UX Issues, Limited Orchestration Features, Uninformative Error Messages, Complex Custom Extractor Creation
Review Summary	Overall, users appreciate Rivery's ease of use, its robust data integration capabilities, and its ability to transform and analyze data. They find it user-friendly, with intuitive features and a straightforward learning curve. Additionally, users praise Rivery's customer support, noting its responsiveness and helpfulness. However, some users have reported occasional issues with data accuracy and stability, suggesting the need for further improvements in these areas.	User reviews for Keboola highlight its ease of use, extensive connector library, and exceptional customer support. Users praise the platform's ability to streamline data extraction, transformation, and loading tasks, especially for beginners. Some users mention the platform's intuitive interface and robust documentation, while others express a preference for the older UI. Although Keboola is generally well-received, some users point to limitations in complex orchestrations, data lineage visualization, and a lack of local development support. Overall, Keboola garners positive sentiment for its user-friendly approach to data integration, but users may need to consider its limitations for large-scale projects.
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Pricing

Pricing Options	Free Trial Available Offers Custom plan.	Free Trial Available Offers Free-forever and Custom plan.
Pricing Plans Monthly Plans Annual Plans	Rivery Custom	Free Tier Free Enterprise Custom
	View Detailed Pricing	View Detailed Pricing

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