Software Alternatives, Accelerators & Startups

Apache Drill VS Airpal

Compare Apache Drill VS Airpal 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.

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL

Airpal logo Airpal

A web-based query execution tool built on top of Facebook's PrestoDB.
  • Apache Drill Landing page
    Landing page //
    2023-06-17
  • Airpal Landing page
    Landing page //
    2019-05-11

Apache Drill features and specs

  • Schema-Free JSON Querying
    Apache Drill is designed to handle schema-less data, allowing users to query JSON and other flexible schemas without needing pre-defined structures. This flexibility makes it ideal for exploring semi-structured data on the fly.
  • SQL Interface
    Drill offers a user-friendly SQL interface, making it accessible for users familiar with traditional SQL databases. This allows professionals to leverage their existing SQL skills to interact with big data ecosystems.
  • High Performance
    With its ability to efficiently process queries on large datasets, Apache Drill is optimized for high-performance analytics and interactive queries, making it suitable for rapid insights and data exploration.
  • Integration with Multiple Data Sources
    Apache Drill can natively connect to a wide variety of data sources, including Hadoop, NoSQL databases, and cloud storage systems. This integration provides a unified view of diverse datasets without extensive ETL processes.
  • Dynamic Query Optimization
    Drill performs on-the-fly query optimization based on the available data and resource conditions, helping ensure efficient query execution and reduced latency.

Possible disadvantages of Apache Drill

  • Memory Intensive
    Apache Drill can be memory-intensive, especially when handling complex queries or very large datasets. This requires substantial hardware resources for optimal performance, which can be cost-prohibitive.
  • Lack of Mature Support and Community
    Compared to some other open-source projects, Apache Drill does not have as extensive a support network or community. This can make troubleshooting and finding community-driven solutions more challenging.
  • Limited Built-in Security Features
    While Apache Drill supports authentication and encryption, it lacks more granular access controls and advanced security features found in some competing platforms, posing potential risks in highly regulated environments.
  • Steep Learning Curve for Modifications
    For users wanting to extend or modify Apache Drill's capabilities beyond its core functions, the learning curve can be steep due to its architecture and the need for in-depth technical knowledge.
  • Updates and Active Development
    Although Apache Drill is actively developed, the pace of updates may not be as rapid or extensive as newer systems, which might delay the adoption of the latest data processing features and technologies.

Airpal features and specs

No features have been listed yet.

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)

Airpal videos

No Airpal videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Drill and Airpal)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Relational Databases
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Drill seems to be more popular. It has been mentiond 3 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.

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: almost 2 years 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 3 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 3 years ago

Airpal mentions (0)

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

What are some alternatives?

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

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Liquibase - Database schema change management and release automation solution.

Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers

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.

ReactiveMongo - Non-blocking, Reactive MongoDB Driver for Scala

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.