Software Alternatives, Accelerators & Startups

Rivery.io VS DataStax

Compare Rivery.io VS DataStax and see what are their differences

Rivery.io logo Rivery.io

Rivery is a web-based development platform that is used to manage, create, control, and monitor a large number of data pipelines.

DataStax logo DataStax

DataStax delivers a scalable, flexible and continuously available big data platform built on Apache Cassandra.
  • Rivery.io Landing page
    Landing page //
    2023-06-24
  • DataStax Landing page
    Landing page //
    2023-09-12

Rivery.io videos

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DataStax videos

DataStax Jobs Review - DataStax Introduction

More videos:

  • Review - "What is DataStax?" In Under 1 Minute | DataStax at AWS re:Invent 2018
  • Review - When Rotten Tomatoes Isn’t Enough: Analyzing Twitter Movie Reviews Using DataStax... - Amanda Moran

Category Popularity

0-100% (relative to Rivery.io and DataStax)
Project Management
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Development
100 100%
0% 0
Product Information Management

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Rivery.io and DataStax

Rivery.io Reviews

Top 10 Fivetran Alternatives - Listing the best ETL tools
Rivery provides a SaaS ELT-based Data Integration platform that enables the seamless loading of data from diverse sources and custom API-based platforms into your preferred data warehouse. While River lacks on-the-fly transformations, it offers Post-load Transformations as compensation.
Source: weld.app
13 data integration tools: a comparative analysis of the top solutions
Rivery is a robust data transformation tool designed to optimize integration and streamline data sharing between tech and non-tech users. Its ability to facilitate efficient data orchestration through its informative dashboard, versatile Rivery Kits, and Python code integration creates a user-friendly environment.
Source: blog.n8n.io

DataStax Reviews

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Social recommendations and mentions

Based on our record, DataStax seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Rivery.io mentions (0)

We have not tracked any mentions of Rivery.io yet. Tracking of Rivery.io recommendations started around Mar 2022.

DataStax mentions (1)

  • Vector Search is Eating the Web
    When it comes to building one's own RAG applications, DataStax's Astra seems to be the preferred database solution for deploying RAG applications, thanks to its robust API and integrations that facilitate the development of high-performance RAG applications. Astra DB's architecture supports the high demands of RAG by providing low latency and high relevancy in data retrieval, which are pretty important for the... - Source: dev.to / 2 months ago

What are some alternatives?

When comparing Rivery.io and DataStax, you can also consider the following products

Decision.io - Decision.io is an interesting platform that provides you the simple features to develop the app or an integrated workflow without using any program language or code.

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

RapidClipse - RapidClipse is a web-based development platform that allows you to build the app with Java and provides you with a hustle-free configuration.

Dell EMC DataIQ - Dell EMC DataIQ is one of the unique storage monitoring and dataset management software for unstructured data that allows a unified file system of PowerScale, ECS, and delivers unique insights into data usage and storage system health.

Codeless Platforms - Codeless Platforms is a web-based platform that allows you to develop various applications and business processes without any coding and programming.

1010Data - 1010data provides cloud-based big data analytics for retail, manufacturing, telecom and financial services enterprises.