Software Alternatives, Accelerators & Startups

Versatile Data Kit VS Meltano

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

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.

Meltano logo Meltano

Open source data dashboarding
  • Versatile Data Kit Landing page
    Landing page //
    2023-10-18
  • Meltano Landing page
    Landing page //
    2023-08-04

Versatile Data Kit videos

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Meltano videos

Meltano tutorial

More videos:

  • Demo - Meltano Sprint Review & Demo Day 2019-11-08
  • Review - Meltano Weekly Sprint Review 2019-11-01

Category Popularity

0-100% (relative to Versatile Data Kit and Meltano)
Automation
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Workflow Automation
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Versatile Data Kit and Meltano

Versatile Data Kit Reviews

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Meltano Reviews

Top 10 Fivetran Alternatives - Listing the best ETL tools
The platform provides users with a wide range of integration options, including connectors for databases, APIs, and application logs. Additionally, Meltano provides extensive support for data transformation and orchestration and integrates well with several cloud-based data warehouses.
Source: weld.app

Social recommendations and mentions

Based on our record, Meltano should be more popular than Versatile Data Kit. It has been mentiond 26 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.

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
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Meltano mentions (26)

  • AI product development is being held back by data engineering
    Hey HN, Arch CEO here! Our team has been working at the intersection of data engineering and software engineering for a few years now with Meltano (https://meltano.com), and this year, the rise in Generative AI has made it clear that the bottleneck in unlocking the potential value of data has shifted from data integration on data teams to data engineering on software teams, so we’ve decided to do something about... - Source: Hacker News / 7 months ago
  • How useful is Airbytes in production pipelines?
    We use Meltano for (EL) and Prefect for scheduling. Is not click-ops, but works very well for us! Behind the scenes Meltano wraps up Singer spec similarly like Airbyte does with its connectors. Before that we tried Airbyte (~5 months ago?) and it was so bad.. We could not choose the columns to replicate and the connectors were unstable i.e. Skipping data, all sort of odd errors and so on.. Source: about 1 year ago
  • Ask HN: Who is hiring? (May 2023)
    Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook (https://handbook.meltano.com/) has all the details on... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (April 2023)
    Meltano | Full-Time | Remote | https://meltano.com Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook... - Source: Hacker News / about 1 year ago
  • If dbt is the "T" part of an "ELT", what do you use for "EL"?
    We switched from AWS Glue to Meltano for the EL part of ELT and it's been a joy to use. We're moving so much faster now. Source: over 1 year ago
View more

What are some alternatives?

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

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

Airbyte - Replicate data in minutes with prebuilt & custom connectors

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.

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.