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IBM DataStage VS Jupyter

Compare IBM DataStage VS Jupyter and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app. featured
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IBM DataStage logo IBM DataStage

Extract, transfer and load ETL data across multiple systems, with support forextended metadata management and big data enterprise connectivity.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • IBM DataStage Landing page
    Landing page //
    2023-07-15
  • Jupyter Landing page
    Landing page //
    2023-06-22

IBM DataStage videos

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IBM InfoSphere DataStage Skill Builder Part 1: How to build and run a DataStage parallel job

Jupyter videos

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What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to IBM DataStage and Jupyter)

IBM DataStage

Jupyter

Data Integration
100 100%
Data Integration
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
ETL
100 100%
ETL
0% 0
Data Dashboard
0 0%
Data Dashboard
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 IBM DataStage and Jupyter

IBM DataStage Reviews

10 Best ETL Tools (October 2023)
IBM DataStage is an excellent data integration tool that is focused on a client-server design. It extracts, transforms, and loads data from a source to a target. These sources can include files, archives, business apps, and more.
Source: www.unite.ai
A List of The 16 Best ETL Tools And Why To Choose Them
Infosphere Datastage is an ETL tool offered by IBM as part of its Infosphere Information Server ecosystem. With its graphical framework, users can design data pipelines that extract data from multiple sources, perform complex transformations, and deliver the data to target applications.
Source: www.datacamp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
DataStage is an IBM proprietary tool that extracts, transforms, and loads data from a source to the destination storage. It is suitable for on-premises deployment and use in hybrid or multi-cloud environments. Data sources that DataStage is compatible with include sequential files, indexed files, relational databases, external data sources, archives, enterprise applications,...
Source: visual-flow.com

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 205 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.

IBM DataStage mentions (0)

We have not tracked any mentions of IBM DataStage yet. Tracking of IBM DataStage recommendations started around Mar 2021.

Jupyter mentions (205)

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What are some alternatives?

When comparing IBM DataStage and Jupyter, you can also consider the following products

Azure Data Factory - Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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