chispa VS meltano

Compare chispa vs meltano and see what are their differences.

chispa

PySpark test helper methods with beautiful error messages (by MrPowers)
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chispa meltano
12 10
532 -
- -
6.2 -
22 days ago -
Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chispa

Posts with mentions or reviews of chispa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-29.

meltano

Posts with mentions or reviews of meltano. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-26.
  • Personal Project Guidance
    3 projects | /r/dataengineering | 26 May 2022
    I would use something like meltano or airbyte, but if you really want to use Lambda for extraction I'd say there is no point spinning up a Redshift cluster just for that, Athena would be the way to go and you can use dbt pretty nicely with it and it would keep costs down.
  • Open source contributions for a Data Engineer?
    17 projects | /r/dataengineering | 16 Apr 2021
    Airbyte and Singer/Meltano if you want to learn more about ingestion pipelines. Airbyte and Meltano teams are very welcoming. SQLfluff a shiny SQL linter. Beautiful project with awesome maintainers.
  • Looking for open source projects that use data pipelines and big data flows
    7 projects | /r/dataengineering | 8 Apr 2021
    I know really sure if this is what are you looking for, but take a look at Meltano
  • Meltano ELT: Open-Source DataOps for the DevOps Era
    4 projects | news.ycombinator.com | 28 Feb 2021
    I'm not aware of any. I did just open this issue[0] in the Meltano project to open discussion with the team/community. It could be an interesting iteration on the Singer Spec[1] if we find that users are interested in it and it helps solve some bottleneck challenges.

    [0] https://gitlab.com/meltano/meltano/-/issues/2616

  • Meltano: ELT for the DevOps era — Open source, self-hosted, CLI-first, debuggable, and extensible
    8 projects | /r/dataengineering | 29 Jan 2021
    Good point! As expected, there's an issue about adding it already: https://gitlab.com/meltano/meltano/-/issues/1175
  • Launch HN: Airbyte (YC W20) – Open-Source ELT (Fivetran/Stitch Alternative)
    8 projects | news.ycombinator.com | 26 Jan 2021
    At GitLab, we're not ready to give up on the Singer spec, community, and ecosystem yet, which is why I've been working on Meltano for the past year: https://meltano.com/

    We think that the biggest things holding back Singer are the lack of documentation and tooling around taking existing taps and targets to production, and around building, debugging, maintaining, and testing new or existing high-quality taps and targets.

    Meltano itself addresses the first problem, and provides a robust and reliable platform for building, running & orchestrating Singer- and dbt-based ELT pipelines.

    At the same time, we have been working with some members of the community on a new framework for building taps and targets: https://gitlab.com/meltano/meltano/-/issues/2401, which we have decided to call the Singer SDK: https://gitlab.com/meltano/singer-sdk

What are some alternatives?

When comparing chispa and meltano you can also consider the following projects:

spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

spark-daria - Essential Spark extensions and helper methods ✨😲

dagster - An orchestration platform for the development, production, and observation of data assets.

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

pipelinewise - Data Pipeline Framework using the singer.io spec

lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.

nifi - Apache NiFi

null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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