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Talend Data Integration VS DepHell

Compare Talend Data Integration VS DepHell and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Talend Data Integration logo Talend Data Integration

Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

DepHell logo DepHell

:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...
  • Talend Data Integration Landing page
    Landing page //
    2023-03-30
  • DepHell Landing page
    Landing page //
    2023-08-28

Talend Data Integration videos

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Joining Data Sources: Talend Data Integration Certificate Lesson3

DepHell videos

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Category Popularity

0-100% (relative to Talend Data Integration and DepHell)

Talend Data Integration

DepHell

Data Integration
100 100%
Data Integration
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
ETL
100 100%
ETL
0% 0
DevOps Tools
0 0%
DevOps Tools
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 Talend Data Integration and DepHell

Talend Data Integration Reviews

10 Best ETL Tools (October 2023)
An open-source ELT (extract, load, transform) data integration platform, Stitch is one more excellent choice. Similar to Talend, Stitch offers paid service tiers for more advanced use cases and larger numbers of data sources. Stitch was actually acquired by Talend in 2018.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Stitch Data is an efficient, cloud-based ETL platform that enables businesses to seamlessly transfer their structured and unstructured data from various sources into data warehouses and data lakes. It provides tools for transforming data within the data warehouse or via external engines like Spark and MapReduce. As a part of Talend Data Fabric, Stitch Data focuses on...
Source: estuary.dev
Top 14 ETL Tools for 2023
While some users will find the open-source version of Talend (Talend Open Studio) sufficient, larger enterprises will likely prefer Talend’s paid Data Integration platform. This version of Talend includes additional tools and features for design, productivity, management, monitoring, business intelligence, and data governance.
Source: www.integrate.io
Top 10 Fivetran Alternatives - Listing the best ETL tools
Next up on the list is Talend’s data integration tool, one piece of the broader Talend Data Fabric platform. Talend’s complete software is a robust data solution that goes beyond data integration to also encompass data quality management, data integrity and governance, application and API integration, and more.
Source: weld.app
13 data integration tools: a comparative analysis of the top solutions
Talend Data Fabric aims to be a one-stop solution for all data integration and data quality monitoring needs. As an OData compliant tool, it allows for the creation of proprietary company level APIs, making integration with other software systems straightforward and efficient. Talend provides a comprehensive solution by offering powerful data management tools as well as...
Source: blog.n8n.io

DepHell Reviews

We have no reviews of DepHell yet.
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Social recommendations and mentions

Based on our record, DepHell seems to be more popular. It has been mentiond 4 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.

Talend Data Integration mentions (0)

We have not tracked any mentions of Talend Data Integration yet. Tracking of Talend Data Integration recommendations started around Mar 2021.

DepHell mentions (4)

  • How to generate setup.py from pyproject.toml
    I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 1 year ago
  • Should i Continue this Project or Abandon it? ; https://github.com/iamDyeus/KnickAI
    I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 2 years ago
  • PDM: A Modern Python Package Manager
    You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 2 years ago
  • [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
    Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 3 years ago

What are some alternatives?

When comparing Talend Data Integration and DepHell, you can also consider the following products

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

Matillion - Matillion is a cloud-based data integration software.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.

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