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Draxlr VS Apache Zeppelin

Compare Draxlr VS Apache Zeppelin and see what are their differences

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Draxlr logo Draxlr

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.
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Apache Zeppelin logo Apache Zeppelin

A web-based notebook that enables interactive data analytics.
  • Draxlr Dashboard
    Dashboard //
    2025-01-17
  • Draxlr
    Image date //
    2025-01-17
  • Draxlr
    Image date //
    2025-01-17

Draxlr is a tool to analyze and monitor your data. It can help you get answers from your database, without writing code. These answers and insights can be shared with your team and customers. You can build graphs, charts, and dashboards and share them as links, images, or embed them on your website and app. Not only that you can set up monitoring on your data, so if any data changes you can be alerted via Slack and Email.

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

Draxlr features and specs

  • Dashboards and Visualizations
  • Slack Notifications
  • Email notifications
  • Query Builder
  • Embedded Analytics
  • Data Export

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 Draxlr

Overall verdict

  • Good

Why this product is good

  • Draxlr is a data analytics and visualization tool that enables users to make data-driven decisions with ease. It offers user-friendly interfaces for creating dashboards, running SQL queries, and integrating with various data sources. Its appeal lies in its simplicity and the ability to provide insights quickly without needing extensive technical expertise.

Recommended for

  • Small to medium-sized businesses looking for affordable data analytics solutions
  • Teams that need a straightforward and intuitive tool for data visualization
  • Users with limited technical expertise who require an accessible analytics platform
  • Organizations seeking to integrate multiple data sources without complex setups

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

Draxlr videos

+ Add

Get answers from your database data.

More videos:

  • Review - Draxlr lietime deal | Appsumo lifetime deal #bestsowftware
  • Review - Draxlr | Get more from your database for less with code-free data query tools #shorts

Apache Zeppelin videos

+ Add

Apache Zeppelin Meetup

Category Popularity

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

Draxlr

Apache Zeppelin

Data Dashboard
73 73%
Data Dashboard
27% 27
Office & Productivity
0 0%
Office & Productivity
100% 100
Data Visualization
100 100%
Data Visualization
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 Draxlr and Apache Zeppelin

Draxlr Reviews

Explore 6 Metabase Alternatives for Data Visualization and Analysis
Draxlr is an intuitive Metabase alternative, blending a robust no-code query builder with AI-powered SQL generation for both non-technical and advanced users. It seamlessly integrates with various databases and provides real-time alerts through Slack, email, and more. With features like embeddable dashboards, granular team access, customizable visualizations, and live data...
Source: www.draxlr.com
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Draxlr is a no-code data visualization tool that simplifies creating dashboards and setting up alerts for SQL databases like PostgreSQL, MySQL, MS SQL, and more. It features an intuitive query builder for filtering, sorting, joining, summarizing, and grouping data without coding. Draxlr also supports advanced visualizations, embedded dashboards, and AI-driven insights, as...
Source: www.draxlr.com
5 best Looker alternatives
Draxlr: Draxlr is a modern self-service BI tool with AI integration capabilities that is built to ensure everyone in the team can easily find answers in raw data, and build actionable dashboards. Since it is one of the new tools, it can lack community support but is compensated by great customer support.
Source: www.draxlr.com
5 best dashboard building tools for SQL data in 2024
Draxlr is a modern self-serve business intelligence tool for growing businesses. Seamlessly connecting with multiple SQL databases, it transforms raw SQL data into polished dashboards effortlessly within minutes, eliminating the need for coding skills. Empowering users to effortlessly visualize and interpret data, Draxlr is tailored for modern business insights.
Source: www.draxlr.com

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 should be more popular than Draxlr. 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.

Draxlr mentions (1)

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 / about 1 month 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 Draxlr and Apache Zeppelin, you can also consider the following products

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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.

HistogramMaker.net - Create a Histogram for free with easy to use tools and download the Histogram as jpg, png or svg file. Customize Histogram according to your choice.

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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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