Software Alternatives, Accelerators & Startups

Caravel VS Versatile Data Kit

Compare Caravel VS Versatile Data Kit and see what are their differences

Caravel logo Caravel

Visual, intuitive, and interactive data exploration platform

Versatile Data Kit logo Versatile Data Kit

An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
  • Caravel Landing page
    Landing page //
    2023-10-18
  • Versatile Data Kit Landing page
    Landing page //
    2023-10-18

Category Popularity

0-100% (relative to Caravel and Versatile Data Kit)
Data Dashboard
100 100%
0% 0
Automation
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Workflow Automation
0 0%
100% 100

User comments

Share your experience with using Caravel and Versatile Data Kit. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Versatile Data Kit might be a bit more popular than Caravel. We know about 10 links to it since March 2021 and only 10 links to Caravel. 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.

Caravel mentions (10)

  • A library for querying APIs and files using SQL
    Also, many tools only talk SQL. Shillelagh was developed for Apache Superset, a powerful open source business intelligence web application, and allows it to query an infinitude of new data sources without having to change a single line of code in Superset. Source: almost 2 years ago
  • Easy way of copying web data to excel.
    I'm adding this to Apache Superset today! Source: almost 2 years ago
  • Apache Superset and Azure - multi-container application deployment
    I also like to do some data analysis on the side and recently ran across Apache Superset which describes itself as a "modern data exploration and data visualization platform". Coincidentally, Superset has a lot of Python code and can be deployed in containers (nine of them at current count!). - Source: dev.to / about 2 years ago
  • Building a metrics dashboard with Superset and Cube
    Please don't hesitate to like and bookmark this post, write a comment, and give a star to Cube and Superset on GitHub. I hope these tools would be a part of your toolkit when you decide to build a metrics store and a business intelligence application on top of it. - Source: dev.to / over 2 years ago
  • When You Merge Pull Requests You Lose Knowledge
    Discussion by kgabryje at apache / superset “feat(native-filters): add search all filter options #14710“. - Source: dev.to / over 2 years ago
View more

Versatile Data Kit mentions (10)

  • If dbt is the "T" part of an "ELT", what do you use for "EL"?
    I work at VMware and we use one tool for the whole ELT, it was made internally as there was no good alternative at the time and now we opensourced it, here it is: https://github.com/vmware/versatile-data-kit. Source: about 1 year ago
  • Dear, pipeline builders! Which step in your role is the most time consuming?
    "suggestions on how to reduce the time spent on initially generating and adjusting the code" is using some tools that automate ELT. Here's one open-source tool I'm working on with my team: https://github.com/vmware/versatile-data-kit. Source: over 1 year ago
  • ETL question (noob)
    Have you heard about versatile data kit (https://github.com/vmware/versatile-data-kit)? I think it meets your needs perfectly:. Source: over 1 year ago
  • DE Open Source
    Versatile Data Kit is a framework to bBuild, run and manage your data pipelines with Python or SQL on any cloud https://github.com/vmware/versatile-data-kit Here's a list of good first issues: https://github.com/vmware/versatile-data-kit/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22 Join our slack channel to connect with our team: https://cloud-native.slack.com/archives/C033PSLKCPR. Source: over 1 year ago
  • How much python is enough for a beginner?
    There are some DE tools now that provide automation, so you don't need to have advanced Python to build your pipelines, like this one here: https://github.com/vmware/versatile-data-kit. Source: over 1 year ago
View more

What are some alternatives?

When comparing Caravel and Versatile Data Kit, you can also consider the following products

Mage AI - Open-source data pipeline tool for transforming and integrating data.

Aha! Visual Chart Tool - Create beautiful product roadmap visualizations

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Apache Superset - modern, enterprise-ready business intelligence web application

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.