Apache Drill vs DBngin

Overview

Apache Drill

Stacks74

Followers171

Votes16

DBngin

Stacks7

Followers34

Votes0

Apache Drill vs DBngin: What are the differences?

# Introduction
Apache Drill and DBngin are two different database management systems that offer unique features and functionalities to users.

1. **Querying Capabilities**: Apache Drill provides a SQL-based query engine that is designed to efficiently query large-scale datasets in various data sources, allowing users to perform complex queries across different data sources easily. On the other hand, DBngin focuses more on database management and deployment, providing a user-friendly interface for setting up and managing databases without the need for intricate querying capabilities.
  
2. **Supported Data Sources**: Apache Drill supports a wide range of data sources including Hadoop, NoSQL databases, cloud storage, and traditional RDBMS, making it versatile for querying data from diverse sources. In contrast, DBngin is primarily focused on managing relational databases and does not have the same level of support for various data sources as Apache Drill.
  
3. **Data Processing Model**: Apache Drill utilizes a schema-free data processing model, enabling users to query and analyze datasets on-the-fly without requiring predefined schemas. On the other hand, DBngin follows a traditional data modeling approach where schemas need to be defined upfront before data can be queried and analyzed.
  
4. **Scalability and Performance**: Apache Drill is known for its high scalability and performance capabilities, allowing users to process large datasets efficiently and quickly across distributed systems. In comparison, DBngin may have limitations in terms of scalability and performance when dealing with massive datasets and complex queries.

5. **Community and Support**: Apache Drill has a thriving open-source community that actively contributes to its development and provides support to users through forums, documentation, and tutorials. In contrast, DBngin may have limited community support, which could impact the availability of resources and assistance for users.

6. **Deployment Options**: Apache Drill can be deployed on-premises, in the cloud, or as part of a containerized environment, offering flexibility in deployment options for users. DBngin, on the other hand, may have more limited deployment options and may require additional configuration for deployment in certain environments.

In Summary, Apache Drill and DBngin differ in their querying capabilities, supported data sources, data processing model, scalability and performance, community and support, and deployment options.

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CLI (Node.js)

Manual

Detailed Comparison

Apache Drill	DBngin
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.	The easiest way to get started with PostgreSQL, MySQL, Redis & more. Install & manage multiple local database servers of various versions within a click.
Low-latency SQL queries;Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.;ANSI SQL;Nested data support;Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs);BI/SQL tool integration using standard JDBC/ODBC drivers	- Lightweight; - Create a local server with a click, no dependency.; - Manage multiple database servers with multiple versions and ports.; - Currently supports PostgreSQL, MySQL, and Redis; - It's free, 100%
Statistics
Stacks 74	Stacks 7
Followers 171	Followers 34
Votes 16	Votes 0
Pros & Cons
Pros 4 NoSQL and Hadoop 3 Lightning speed and simplicity in face of data jungle 3 Free 2 Well documented for fast install 1 V1.10 released - https://drill.apache.org/	No community feedback yet
Integrations
No integrations available	Redis PostgreSQL MySQL

What are some alternatives to Apache Drill, DBngin?

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

Related Comparisons

Apache Drill vs DBngin: What are the differences?

# Introduction
Apache Drill and DBngin are two different database management systems that offer unique features and functionalities to users.

1. **Querying Capabilities**: Apache Drill provides a SQL-based query engine that is designed to efficiently query large-scale datasets in various data sources, allowing users to perform complex queries across different data sources easily. On the other hand, DBngin focuses more on database management and deployment, providing a user-friendly interface for setting up and managing databases without the need for intricate querying capabilities.
  
2. **Supported Data Sources**: Apache Drill supports a wide range of data sources including Hadoop, NoSQL databases, cloud storage, and traditional RDBMS, making it versatile for querying data from diverse sources. In contrast, DBngin is primarily focused on managing relational databases and does not have the same level of support for various data sources as Apache Drill.
  
3. **Data Processing Model**: Apache Drill utilizes a schema-free data processing model, enabling users to query and analyze datasets on-the-fly without requiring predefined schemas. On the other hand, DBngin follows a traditional data modeling approach where schemas need to be defined upfront before data can be queried and analyzed.
  
4. **Scalability and Performance**: Apache Drill is known for its high scalability and performance capabilities, allowing users to process large datasets efficiently and quickly across distributed systems. In comparison, DBngin may have limitations in terms of scalability and performance when dealing with massive datasets and complex queries.

5. **Community and Support**: Apache Drill has a thriving open-source community that actively contributes to its development and provides support to users through forums, documentation, and tutorials. In contrast, DBngin may have limited community support, which could impact the availability of resources and assistance for users.

6. **Deployment Options**: Apache Drill can be deployed on-premises, in the cloud, or as part of a containerized environment, offering flexibility in deployment options for users. DBngin, on the other hand, may have more limited deployment options and may require additional configuration for deployment in certain environments.

In Summary, Apache Drill and DBngin differ in their querying capabilities, supported data sources, data processing model, scalability and performance, community and support, and deployment options.

Apache Drill vs DBngin

Overview