Slack SQL vs Xplenty

Overview

Xplenty

Stacks12

Followers26

Votes2

Slack SQL

Stacks1

Followers11

Votes0

GitHub Stars117

Forks14

Slack SQL vs Xplenty: What are the differences?

Developers describe Slack SQL as "Execute SQL queries inside of Slack". Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!. On the other hand, Xplenty is detailed as "Code-free data integration, data transformation and ETL in the cloud". Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.

Slack SQL and Xplenty are primarily classified as "Database" and "Big Data as a Service" tools respectively.

Slack SQL is an open source tool with 111 GitHub stars and 13 GitHub forks. Here's a link to Slack SQL's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Xplenty	Slack SQL
Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.	Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack. This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!
Xplenty provides you with an visual, intuitive interface to design your ETL data flows; Xplenty lets you integrate data from a variety of data stores, such as Amazon RDS, MySQL, PostgreSQL, Microsoft SQL Server and MongoDB.; Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage; Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store;Integrate semi-structured data with structured data. Our package designer makes it a snap for every data and BI user to write complex data flows for your flat files and JSON files on top of Hadoop without writing a single line of code.	-
Statistics
GitHub Stars -	GitHub Stars 117
GitHub Forks -	GitHub Forks 14
Stacks 12	Stacks 1
Followers 26	Followers 11
Votes 2	Votes 0
Pros & Cons
Pros 2 Simple, easy to integrate/process data without coding	No community feedback yet
Integrations
Amazon S3 Compose Rackspace Cloud Files MongoLab MongoSoup Heroku Amazon Redshift Amazon RDS Google Cloud SQL ClearDB	PostgreSQL Slack

What are some alternatives to Xplenty, Slack SQL?

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.

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

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.