Pachyderm vs SQL Tabs

Overview

Pachyderm

Stacks24

Followers95

Votes5

SQL Tabs

Stacks6

Followers27

Votes0

GitHub Stars803

Forks57

Pachyderm vs SQL Tabs: What are the differences?

Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations; SQL Tabs: Rich SQL Console for Postgresql. SQL Tabs is an open source cross platform desktop client for Postgresql.

Pachyderm belongs to "Big Data Tools" category of the tech stack, while SQL Tabs can be primarily classified under "Database Tools".

Some of the features offered by Pachyderm are:

Git-like File System
Dockerized MapReduce
Microservice Architecture

On the other hand, SQL Tabs provides the following key features:

Database explorer
Rich scripts output
Charts from query result

Pachyderm and SQL Tabs are both open source tools. It seems that Pachyderm with 3.81K GitHub stars and 369 forks on GitHub has more adoption than SQL Tabs with 752 GitHub stars and 56 GitHub forks.

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Detailed Comparison

Pachyderm	SQL Tabs
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.	SQL Tabs is an open source cross platform desktop client for Postgresql
Git-like File System;Dockerized MapReduce;Microservice Architecture;Deployed with CoreOS	Database explorer;Rich scripts output;Charts from query result;Markdown rendering;Dark and bright themes;Classic and vim editing modes
Statistics
GitHub Stars -	GitHub Stars 803
GitHub Forks -	GitHub Forks 57
Stacks 24	Stacks 6
Followers 95	Followers 27
Votes 5	Votes 0
Pros & Cons
Pros 3 Containers 1 Can run on GCP or AWS 1 Versioning Cons 1 Recently acquired by HPE, uncertain future.	No community feedback yet
Integrations
Docker Amazon EC2 Google Compute Engine Vagrant	PostgreSQL

What are some alternatives to Pachyderm, SQL Tabs?

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.

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

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.