Software Alternatives & Reviews

Apache Drill VS Apache Superset

Compare Apache Drill VS Apache Superset and see what are their differences

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL

Apache Superset logo Apache Superset

modern, enterprise-ready business intelligence web application
  • Apache Drill Landing page
    Landing page //
    2023-06-17
  • Apache Superset Landing page
    Landing page //
    2023-10-21

Apache Drill videos

Using Apache Drill

More videos:

  • Review - Drilling into Data with Apache Drill
  • Review - Apache Drill and the Coolness of Big JSON - Jonathan Janos (MapR)

Apache Superset videos

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset and Druid

More videos:

  • Review - Apache Superset-Building Dashboard-Filter or Slicer
  • Review - Installing Apache Superset

Category Popularity

0-100% (relative to Apache Drill and Apache Superset)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Relational Databases
100 100%
0% 0
Data Visualization
0 0%
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 Apache Drill and Apache Superset

Apache Drill Reviews

We have no reviews of Apache Drill yet.
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Apache Superset Reviews

8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Open-source vs cloud-hosted vs self-hosted Apache Superset open-sourceApache Superset interactive example dashboard. Image source: https://superset.apache.org/Main features and benefits Pricing and offersBest for Main drawbacks Apache Superset alternatives that are suitable for a small business or startup 1. Trevor.ioMain features and benefits Pricing and offersKey...
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Apache Superset is one of the best Tableau Open Source alternatives that you can opt for Data Exploration and Business Analytics. This Open-Source project is licensed under the Apache License 2.0, which allows anyone to use it and distribute a modified version of it. In comparison to Tableau, which charges a minimum of $15 per month for Tableau Viewer, this software is...
Source: hevodata.com
Top 10 Data Analysis Tools in 2022
Apache Superset It is an open-source software application, meaning it can be modified to suit a company’s needs. It is among the few data analysis tools available to handle big data. Apache Superset is free to use. Apache Superset is a free tool businesses can use to explore and visualize data. However, it does not support NoSQL databases.

Social recommendations and mentions

Based on our record, Apache Superset seems to be a lot more popular than Apache Drill. While we know about 51 links to Apache Superset, we've tracked only 3 mentions of Apache Drill. 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.

Apache Drill mentions (3)

  • Git Query Language (GQL) Aggregation Functions, Groups, Alias
    Also are you familiar with apache drill . The idea is to put an SQL interpreter in front of any kind of database just like you are doing for git here. Source: 10 months ago
  • Roapi: An API Server for Static Datasets
    Looks super interesting and potentially useful. Curious how it compares with Apache Drill (https://drill.apache.org/). - Source: Hacker News / over 2 years ago
  • Does Java have an open source package that can execute SQL on txt/csv?
    Check out Apache Drill: https://drill.apache.org/. Source: over 2 years ago

Apache Superset mentions (51)

  • A modern data stack for startups
    Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 4 months ago
  • More public SQL-queryable databases?
    Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 10 months ago
  • How useful is SQL for managers?
    If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 11 months ago
  • Real-time data analytics with Apache Superset, Redpanda, and RisingWave
    In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / 12 months ago
  • How do you visualize / drill down your financial data (hlegder)
    For charting, I use superset. It is a good solution if you have a server, but a bit difficult to install. You can use hledger2psql to convert the journal to a database and you can use the docker-compose file included to install with one command. Source: about 1 year ago
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What are some alternatives?

When comparing Apache Drill and Apache Superset, you can also consider the following products

Apache Calcite - Relational Databases

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

DataGrip - Tool for SQL and databases

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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...