Software Alternatives, Accelerators & Startups

SqlPad VS Apache Drill

Compare SqlPad VS Apache Drill 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.

SqlPad logo SqlPad

Run SQL in your browser and chart the results

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL
  • SqlPad Landing page
    Landing page //
    2022-09-12
  • Apache Drill Landing page
    Landing page //
    2023-06-17

SqlPad features and specs

No features have been listed yet.

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.

SqlPad videos

SAP CodeTalk - sqlpad meets SAP HANA

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)

Category Popularity

0-100% (relative to SqlPad and Apache Drill)
Error Tracking
100 100%
0% 0
Databases
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
Database Management
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.

SqlPad mentions (0)

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

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

What are some alternatives?

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

TrackJS - JavaScript Error Tracking for Modern Web Applications

Apache Calcite - Relational Databases

mycli - A CLI for MySQL with auto-completion and syntax highlighting

Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

ReactiveMongo - Non-blocking, Reactive MongoDB Driver for Scala