Apache Drill vs pghoard

Overview

Apache Drill

Stacks74

Followers171

Votes16

pghoard

Stacks2

Followers8

Votes0

Apache Drill vs pghoard: What are the differences?

Introduction: Apache Drill and pghoard are both popular tools used in data management and analytics, but they differ in several key aspects. Below are the main differences between Apache Drill and pghoard explained.

Data Source Compatibility: Apache Drill is designed to work with various data sources including Hadoop, NoSQL databases, and cloud storage services. On the other hand, pghoard is specifically focused on PostgreSQL database backups and point-in-time recovery.
Querying Capability: Apache Drill is known for its ability to run SQL queries on different data sources without requiring data movement. Meanwhile, pghoard primarily focuses on data backup and restoration tasks rather than query execution.
Scalability: Apache Drill is highly scalable and can efficiently handle large-scale distributed data processing tasks. In contrast, pghoard is optimized for PostgreSQL backups and is not designed to scale for query processing across multiple data sources.
Community Support: Apache Drill has a large and active open-source community, facilitating continuous development and support. While pghoard also has community support, it may not be as extensive as that of Apache Drill due to its more specialized focus on PostgreSQL.
Deployment Complexity: Apache Drill may require more configuration and setup due to its wide range of supported data sources, leading to higher deployment complexity compared to pghoard, which is more straightforward in terms of deployment for PostgreSQL backups.
Use Cases: Apache Drill is suitable for organizations dealing with diverse data sources and complex queries that require a highly versatile tool. Conversely, pghoard is ideal for PostgreSQL users looking for efficient backup solutions and reliable point-in-time recovery capabilities.

In Summary, Apache Drill and pghoard differ in terms of data source compatibility, querying capability, scalability, community support, deployment complexity, and use cases.

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CLI (Node.js)

Manual

Detailed Comparison

Apache Drill	pghoard
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.	pghoard is a PostgreSQL backup daemon and restore tooling for cloud object storages.
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	Automatic periodic basebackups;Automatic transaction log (WAL/xlog) backups (using either pg_receivexlog or archive_command);Cloud object storage support (AWS S3, Google Cloud, OpenStack Swift, Azure, Ceph);Backup restoration directly from object storage, compressed and encrypted;Point-in-time-recovery (PITR);Initialize a new standby from object storage backups, automatically configured as a replicating hot-standby
Statistics
Stacks 74	Stacks 2
Followers 171	Followers 8
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	PostgreSQL

What are some alternatives to Apache Drill, pghoard?

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

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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

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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 pghoard: What are the differences?

Data Source Compatibility: Apache Drill is designed to work with various data sources including Hadoop, NoSQL databases, and cloud storage services. On the other hand, pghoard is specifically focused on PostgreSQL database backups and point-in-time recovery.
Querying Capability: Apache Drill is known for its ability to run SQL queries on different data sources without requiring data movement. Meanwhile, pghoard primarily focuses on data backup and restoration tasks rather than query execution.
Scalability: Apache Drill is highly scalable and can efficiently handle large-scale distributed data processing tasks. In contrast, pghoard is optimized for PostgreSQL backups and is not designed to scale for query processing across multiple data sources.
Community Support: Apache Drill has a large and active open-source community, facilitating continuous development and support. While pghoard also has community support, it may not be as extensive as that of Apache Drill due to its more specialized focus on PostgreSQL.
Deployment Complexity: Apache Drill may require more configuration and setup due to its wide range of supported data sources, leading to higher deployment complexity compared to pghoard, which is more straightforward in terms of deployment for PostgreSQL backups.
Use Cases: Apache Drill is suitable for organizations dealing with diverse data sources and complex queries that require a highly versatile tool. Conversely, pghoard is ideal for PostgreSQL users looking for efficient backup solutions and reliable point-in-time recovery capabilities.

In Summary, Apache Drill and pghoard differ in terms of data source compatibility, querying capability, scalability, community support, deployment complexity, and use cases.

Apache Drill vs pghoard

Overview