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Reviewly VS Apache Zeppelin

Compare Reviewly VS Apache Zeppelin and see what are their differences

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Reviewly logo Reviewly

Create take-home projects to send to your job candidates, where you can ask them to code, discuss an issue, and/or review a PR directly in a private repository on GitHub.

Apache Zeppelin logo Apache Zeppelin

A web-based notebook that enables interactive data analytics.
  • Reviewly Landing page
    Landing page //
    2023-05-08

Reviewly helps you to manage the take-home projects that you send to your job candidates.

Put an end to receiving them as ZIP files or Gists via email.

Send take-home projects that simulate real work

Our job as developers is not just writing code. Create take-home projects where you can ask for coding and also discuss an issue and/or review a pull request directly on GitHub.

Automate the process of sending your take-home projects

Prepare your main repository once, we'll take care of replicating everything in a new repository for each of your candidates. You can also integrate your existing tools with Reviewly through Zapier.

Customize your take-home projects to fit your needs

Each company has different hiring needs, and a Fibonacci exercise selected from a catalog isn't always the best option. Set your custom take-home project, and we'll replicate all its code, issues, and pull requests.

Reduce bias during your hiring process

Bias exists, even if it’s unconscious. That's why we hide the candidate’s name from your reviewers until they've reviewed them.

  • Apache Zeppelin Landing page
    Landing page //
    2023-07-21

Reviewly features and specs

  • Unlimited take-home projects
  • Unlimited team members
  • Integrated with GitHub
  • Zapier integration
  • Permission system
  • Advanced reports
  • White-glove support

Apache Zeppelin features and specs

  • Interactive Data Exploration
    Apache Zeppelin supports interactive data exploration and visualization. Users can write code in multiple languages (e.g., SQL, Python, R) and immediately see the results, enabling dynamic data analysis.
  • Multi-language Support
    Zeppelin supports multiple languages and backend systems through its interpreters, including Apache Spark, Python, JDBC, and more. This makes it versatile for data scientists and analysts who work with different technologies.
  • Collaborative Environment
    Zeppelin provides a collaborative environment where multiple users can share notebooks and insights. This fosters team collaboration and enhances productivity among data teams.
  • Integration with Big Data Tools
    Zeppelin integrates well with big data tools like Apache Spark, Hadoop, and various data storage solutions, making it an excellent choice for large-scale data processing and analysis tasks.
  • Custom Visualizations
    Users can create rich, custom visualizations with Zeppelin's built-in visualization tools or by leveraging libraries like D3.js. This helps in presenting data insights in a more understandable and visually appealing manner.

Possible disadvantages of Apache Zeppelin

  • Steeper Learning Curve
    For beginners, the learning curve for Apache Zeppelin can be quite steep, especially if they are not familiar with the command-line interface or the underlying technologies like Apache Spark or Hadoop.
  • Performance Issues
    Zeppelin can face performance issues when handling very large datasets or complex visualizations, potentially leading to slower response times or the need for significant hardware resources.
  • Limited Language Support
    While Zeppelin supports multiple languages through its interpreters, it doesn't support as many languages as some other data science tools, which could be a limitation for some users.
  • Security Concerns
    Since Apache Zeppelin allows code execution on the server, there are inherent security risks. Proper security measures must be in place to prevent unauthorized access and code execution, which can complicate setup and maintenance.
  • Dependency Management
    Managing dependencies and interpreter configurations in Zeppelin can be cumbersome, particularly in complex projects with multiple dependencies. This can lead to configuration drift and other maintenance challenges.

Analysis of Apache Zeppelin

Overall verdict

  • Yes, Apache Zeppelin is generally regarded as a good tool, particularly for data scientists and analysts who require a versatile environment for analyzing and visualizing complex datasets.

Why this product is good

  • Apache Zeppelin is considered a good tool because it offers a web-based notebook that supports interactive data analysis, visualization, and collaboration. It is versatile, supporting multiple languages such as Scala, Python, and SQL. It integrates well with big data technologies like Apache Spark and Hadoop, making it suitable for complex data processing and real-time analytics.

Recommended for

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Big Data Professionals
  • Teams requiring collaborative data analysis and visualization

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Apache Zeppelin videos

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Category Popularity

0-100% (relative to Reviewly and Apache Zeppelin)

Reviewly

Apache Zeppelin

Hiring And Recruitment
100 100%
Hiring And Recruitment
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
Candidate Screening And Assessment
100 100%
Candidate Screening And Assessment
0% 0
IDE
0 0%
IDE
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 Reviewly and Apache Zeppelin

Reviewly Reviews

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Apache Zeppelin Reviews

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Apache Zeppelin is an open-source platform for data science and analytics that is similar to Jupyter Notebooks. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Apache Zeppelin also has a built-in code editor and supports a wide range of libraries and frameworks,...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Apache Zeppelin is another web-based open-source notebook popular among data scientists. The platform supports three languages – SQL, Python, and R. Zeppelin also backs interpreters such as Apache Spark, JDBC, Markdown, Shell, and Hadoop. The built-in basic charts and pivot table structures help to create input forms in the notebook. Zeppelin can be shared on Github and...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Apache Zeppelin seems to be more popular. It has been mentiond 9 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.

Reviewly mentions (0)

We have not tracked any mentions of Reviewly yet. Tracking of Reviewly recommendations started around May 2023.

Apache Zeppelin mentions (9)

  • 📊 Visualise Presto Queries with Apache Zeppelin: A Hands-On Guide
    In the previous article, we explored the installation of Presto. Building on that foundation, it's time to take your data exploration one step further by integrating Presto with Apache Zeppelin, a powerful web-based notebook that allows interactive data analytics. - Source: dev.to / 24 days ago
  • Serverless Data Processing on AWS : AWS Project
    To do so, we will use Kinesis Data Analytics to run an Apache Flink application. To enhance our development experience, we will use Studio notebooks for Kinesis Data Analytics that are powered by Apache Zeppelin. - Source: dev.to / 7 months ago
  • Serverless Apache Zeppelin on AWS
    Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals. - Source: dev.to / over 1 year ago
  • Visualization using Pyspark Dataframe
    Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df). Source: about 3 years ago
  • Fast CSV Processing with SIMD
    I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives. https://zeppelin.apache.org/. - Source: Hacker News / over 3 years ago
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What are some alternatives?

When comparing Reviewly and Apache Zeppelin, you can also consider the following products

coderpad - Collaborative code editor with in-browser, real-time execution. Conduct programming phone screens like a boss.

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

CodeSignal - CodeSignal is the leading assessment platform for technical hiring.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

TestGorilla - TestGorilla ATS is an applicant recruiting software that helps companies hire candidates easily without any hassle.

Adobe Flash Builder - If you are facing issues while downloading your Creative Cloud apps, use the download links in the table below.

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