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  1. Stackups
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  4. Message Queue
  5. Kestrel vs SQL Tabs

Kestrel vs SQL Tabs

OverviewComparisonAlternatives

Overview

Kestrel
Kestrel
Stacks37
Followers58
Votes0
SQL Tabs
SQL Tabs
Stacks6
Followers27
Votes0
GitHub Stars803
Forks57

Kestrel vs SQL Tabs: What are the differences?

Kestrel: Simple, distributed message queue system. Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM; SQL Tabs: Rich SQL Console for Postgresql. SQL Tabs is an open source cross platform desktop client for Postgresql.

Kestrel and SQL Tabs are primarily classified as "Message Queue" and "Database" tools respectively.

Some of the features offered by Kestrel are:

  • Written by Robey Pointer
  • Starling clone written in Scala (a port of Starling from Ruby to Scala)
  • Queues are stored in memory, but logged on disk

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

  • Database explorer
  • Rich scripts output
  • Charts from query result

Kestrel and SQL Tabs are both open source tools. Kestrel with 2.8K GitHub stars and 326 forks on GitHub appears to be more popular than SQL Tabs with 752 GitHub stars and 56 GitHub forks.

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Detailed Comparison

Kestrel
Kestrel
SQL Tabs
SQL Tabs

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

SQL Tabs is an open source cross platform desktop client for Postgresql

Written by Robey Pointer;Starling clone written in Scala (a port of Starling from Ruby to Scala);Queues are stored in memory, but logged on disk
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
37
Stacks
6
Followers
58
Followers
27
Votes
0
Votes
0
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to Kestrel, SQL Tabs?

dbForge Studio for MySQL

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

dbForge Studio for Oracle

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

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.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

dbForge Studio for SQL Server

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.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

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