Software Alternatives, Accelerators & Startups

Datablast VS Versatile Data Kit

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

Datablast logo Datablast

Create charts, share and follow insights. Explore data in a new way.

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.
  • Datablast Landing page
    Landing page //
    2023-08-22
  • Versatile Data Kit Landing page
    Landing page //
    2023-10-18

Datablast videos

DataBlast Webinar (Part 1) - A General Overview

More videos:

  • Review - Datablast - Eliminating Flyrock Risk with Optimised Drill & Blast Processes
  • Review - DataBlast Webinar (Part 2) - A Complete Workflow

Versatile Data Kit videos

No Versatile Data Kit videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Datablast and Versatile Data Kit)
Data Dashboard
100 100%
0% 0
Web Service Automation
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Automation
0 0%
100% 100

User comments

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

Social recommendations and mentions

Based on our record, Versatile Data Kit seems to be more popular. It has been mentiond 10 times 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.

Datablast mentions (0)

We have not tracked any mentions of Datablast yet. Tracking of Datablast recommendations started around Mar 2021.

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: over 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 Datablast and Versatile Data Kit, you can also consider the following products

Charts Factory - Create simple charts super fast and for free!

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

ZingChart - ZingChart is a fast, modern, powerful JavaScript charting library for building animated, interactive charts and graphs. Bring on the big data!

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

Google Charts - Interactive charts for browsers and mobile devices.

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