rtdl VS Shift

Compare rtdl vs Shift and see what are their differences.

rtdl

rtdl makes it easy to build and maintain a real-time data lake (by realtimedatalake)
open-source Data data-engineering Data Analysis Data Science data-collection product-analytics marketing-analytics customer-data Big Data data-lake Golang apache-flink stateful-functions Apache Kafka real-time-data-lake rtdl Docker docker-compose dremio
Source Code
rtdl.io
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Shift

Shift is a high performance better alternative to Airbyte, Singer, Meltano (by piyushsingariya)
Golang Data data-collection data-engineering data-engineering-pipeline data-ingestion elt etl-framework reverse-etl airbyte meltano singer singer.io singer-tap
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rtdl Shift
2 1
43 9
- -
0.0 8.1
over 1 year ago 7 months ago
Go Go
MIT License GNU General Public License v3.0 or later
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.
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rtdl

Posts with mentions or reviews of rtdl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-27.
  • Why this subreddit dislikes the so-called Modern Data Stack?
    2 projects | /r/dataengineering | 27 Feb 2022
    I think my friend and I are building the solution you’re talking about. A real-time data lake that is easy to setup, uses the newest tech (not Spark and Hive), and has an extensible processing layer. https://github.com/realtimedatalake/rtdl. Fingers-crossed, but it looks like we may be a funded startup soon.
  • What is the easiest way to build a real-time data lake?
    1 project | /r/dataengineering | 14 Feb 2022
    For context, I work at Segment (including GTM for Segment Data Lakes) and am the co-creator of rtdl (https://github.com/realtimedatalake/rtdl). This is a problem I’m familiar with and trying to solve. I’m really curious about how others make data lakes easier and what solutions are floating around.

Shift

Posts with mentions or reviews of Shift. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing rtdl and Shift you can also consider the following projects:

incubator-devlake - Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.

amplify - Bacalhau Amplify: automatic enrichment, enhancement, and explanation of your data

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

pachyderm - Data-Centric Pipelines and Data Versioning

rtdl vs incubator-devlake rtdl vs amplify rtdl vs flyte rtdl vs Dataplane rtdl vs dbt-core rtdl vs pachyderm