Software Alternatives, Accelerators & Startups

Contabo Object Storage VS Apache Zeppelin

Compare Contabo Object Storage VS Apache Zeppelin and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Contabo Object Storage logo Contabo Object Storage

S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

Apache Zeppelin logo Apache Zeppelin

A web-based notebook that enables interactive data analytics.
  • Contabo Object Storage Contabo Object Storage Homepage
    Contabo Object Storage Homepage //
    2025-05-02
  • Apache Zeppelin Landing page
    Landing page //
    2023-07-21

Contabo Object Storage features and specs

  • S3-Compatible
    Compatible with Amazon S3 Standard
  • Always-On DDos Protection
    Automatic detection and mitigation of DDoS attacks
  • Guaranteed Redundancy
    Redundancy and End-to-End Encryption
  • High Performance and Speed
    High-speed throughput with low latency
  • Three Object Storage Regions
    Files and data are secured with guaranteed confidentiality at any of the three available Object Storage Regions (Europe/USA/Asia)

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

Contabo Object Storage videos

How to set up and use Object Storage by Contabo I Step-by-step tutorial

More videos:

  • Tutorial - How to: Host a Static Website on Contabo Object Storage
  • Review - Setting Up Contabo Object Storage On #Vironeer Applications

Apache Zeppelin videos

Apache Zeppelin Meetup

Category Popularity

0-100% (relative to Contabo Object Storage and Apache Zeppelin)
Cloud Storage
100 100%
0% 0
Office & Productivity
0 0%
100% 100
Object Storage
100 100%
0% 0
IDE
0 0%
100% 100

User comments

Share your experience with using Contabo Object Storage and Apache Zeppelin. 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 Contabo Object Storage and Apache Zeppelin

Contabo Object Storage Reviews

We have no reviews of Contabo Object Storage yet.
Be the first one to post

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...

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.

Contabo Object Storage mentions (0)

We have not tracked any mentions of Contabo Object Storage yet. Tracking of Contabo Object Storage recommendations started around May 2025.

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 / 30 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
View more

What are some alternatives?

When comparing Contabo Object Storage and Apache Zeppelin, you can also consider the following products

Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.

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.

Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.

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

IONOS Object Storage - IONOS Object Storage is a convenient, affordable and compliant way to store any amount of static company data. Pay only for what you use.

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