Software Alternatives, Accelerators & Startups

Meltano VS .NET for Apache Spark

Compare Meltano VS .NET for Apache Spark and see what are their differences

Meltano logo Meltano

Open source data dashboarding

.NET for Apache Spark logo .NET for Apache Spark

.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.
  • Meltano Landing page
    Landing page //
    2023-08-04
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23

Meltano features and specs

  • Open Source
    Meltano is open-source, which means that it is free to use and can be customized according to specific business needs. The open-source nature fosters a community-driven approach to improvements and updates.
  • Modular Architecture
    Meltano offers a modular architecture that allows users to mix and match different components like extractors, loaders, and transformers, providing flexibility and adaptability.
  • Integration with Singer Taps
    It is compatible with Singer Taps and Targets, enabling Meltano to connect with a wide variety of data sources and destinations, making data integration seamless.
  • Command Line Interface (CLI)
    Meltano provides a robust CLI that simplifies managing and orchestrating ETL workflows, which can be advantageous for developers who prefer working with command-line tools.
  • Community and Support
    There is a vibrant community and an active support system, which can be helpful for troubleshooting and getting advice on best practices regarding Meltano usage.

Possible disadvantages of Meltano

  • Steep Learning Curve
    For users who are not familiar with command line tools or open-source data integration platforms, Meltano can have a steep learning curve, requiring time and effort to master.
  • Limited Built-in Features
    While being modular offers flexibility, Meltano has fewer built-in features compared to some commercial ETL tools, which might require users to build custom solutions.
  • Variable Support for Sources/Destinations
    The quality and reliability of connectors can vary since Meltano relies on community-contributed Singer Taps, which may not be as stable or well-documented as proprietary alternatives.
  • Complex Configuration
    Initial setup and configuration can be complex, especially when connecting to multiple data sources or when customization is necessary, which may require significant technical expertise.
  • Resource Dependency
    As an evolving open-source project, Meltano may require more resources in terms of time and effort to stay updated with the latest features and community contributions.

.NET for Apache Spark features and specs

No features have been listed yet.

Meltano videos

Meltano tutorial

More videos:

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

.NET for Apache Spark videos

No .NET for Apache Spark videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Meltano and .NET for Apache Spark)
Business Intelligence
100 100%
0% 0
Data Integration
85 85%
15% 15
Data Dashboard
100 100%
0% 0
Web Frameworks
0 0%
100% 100

User comments

Share your experience with using Meltano and .NET for Apache Spark. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Meltano and .NET for Apache Spark

Meltano Reviews

Top 11 Fivetran Alternatives for 2024
Meltano was established in 2018 as an open-source project within GitLab to assist their data and analytics team. It’s a Python framework based on the Singer protocol. Originally developed by the founders of Stitch, the Singer framework saw reduced contributions after Stitch was acquired by Talend, which was later acquired by Qlik. Despite these changes, Meltano has continued...
Source: estuary.dev
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

.NET for Apache Spark Reviews

We have no reviews of .NET for Apache Spark yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Meltano should be more popular than .NET for Apache Spark. 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.

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 / over 1 year 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 2 years 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 2 years 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 2 years 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: about 2 years ago
View more

.NET for Apache Spark mentions (3)

  • Debug dotnet Spark using Databricks-connect
    I assume you are talking about this https://dotnet.microsoft.com/en-us/apps/data/spark. Source: over 2 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Good question! The API and the authoring experience is .NET, but the backend is Apache Spark which is built on the JVM. We use the .NET for Apache Spark to do the parallization. Source: almost 3 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Yes that's correct. SynapseML builds on top of the Apache Spark for .NET project which provides .NET support for the Apache Spark distributed computing framework. Apache Spark is written in Scala (a language on the JVM) but has language bindings in Python, R, .NET and other languages. This release adds full .NET language support for all of the models and learners in the SynapseML library so you can author... Source: almost 3 years ago

What are some alternatives?

When comparing Meltano and .NET for Apache Spark, you can also consider the following products

Airbyte - Replicate data in minutes with prebuilt & custom connectors

Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data

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

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

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

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