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  4. Big Data As A Service
  5. Google BigQuery vs Sequel Pro

Google BigQuery vs Sequel Pro

OverviewComparisonAlternatives

Overview

Google BigQuery
Google BigQuery
Stacks1.8K
Followers1.5K
Votes152
Sequel Pro
Sequel Pro
Stacks316
Followers366
Votes68
GitHub Stars9.2K
Forks838

Google BigQuery vs Sequel Pro: What are the differences?

<p>Google BigQuery and Sequel Pro are both popular tools used for querying and analyzing data. While they serve similar purposes, there are key differences between the two that make each tool unique in its own way.</p>

1. **Pricing Model**: Google BigQuery operates on a pay-per-query pricing model, where users are charged based on the amount of data processed. In contrast, Sequel Pro is an open-source tool and is available for free with no additional costs for usage.
2. **Deployment**: Google BigQuery is a cloud-based service that does not require any installation or maintenance, making it easy to scale and accessible from anywhere with an internet connection. On the other hand, Sequel Pro is a desktop application that needs to be downloaded and installed locally on a machine.
3. **SQL Dialect**: Google BigQuery uses its own SQL dialect which includes proprietary functions and features specific to the platform. Sequel Pro, on the other hand, supports standard SQL syntax that is compatible with most database systems.
4. **Collaboration**: Google BigQuery offers built-in collaboration features that enable multiple users to work on the same project simultaneously, facilitating teamwork and coordination. In contrast, Sequel Pro is designed for individual use and does not have native collaboration capabilities.
5. **Scalability**: Google BigQuery is highly scalable and can handle large datasets efficiently, making it suitable for enterprise-level data processing and analysis. On the other hand, Sequel Pro may face performance issues when dealing with massive amounts of data due to its desktop-based nature.
6. **Data Source Connectivity**: Google BigQuery is optimized for connecting and querying data stored in Google Cloud Storage and Google Drive, while Sequel Pro supports connecting to various databases such as MySQL, PostgreSQL, and SQLite.</p>

In Summary, Google BigQuery and Sequel Pro differ in their pricing model, deployment method, SQL dialect, collaboration features, scalability, and data source connectivity.

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Detailed Comparison

Google BigQuery
Google BigQuery
Sequel Pro
Sequel Pro

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.

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

All behind the scenes- Your queries can execute asynchronously in the background, and can be polled for status.;Import data with ease- Bulk load your data using Google Cloud Storage or stream it in bursts of up to 1,000 rows per second.;Affordable big data- The first Terabyte of data processed each month is free.;The right interface- Separate interfaces for administration and developers will make sure that you have access to the tools you need.
Quickly filter and paginate table content;Fast, threaded UI;Document based connections — Save your connection and share it;Use windows or tabs — whichever works best for you;Navigator for connecting to servers and constructing queries
Statistics
GitHub Stars
-
GitHub Stars
9.2K
GitHub Forks
-
GitHub Forks
838
Stacks
1.8K
Stacks
316
Followers
1.5K
Followers
366
Votes
152
Votes
68
Pros & Cons
Pros
  • 28
    High Performance
  • 25
    Easy to use
  • 22
    Fully managed service
  • 19
    Cheap Pricing
  • 16
    Process hundreds of GB in seconds
Cons
  • 1
    You can't unit test changes in BQ data
  • 0
    Sdas
Pros
  • 25
    Free
  • 18
    Simple
  • 17
    Clean UI
  • 8
    Easy
Cons
  • 1
    Only available for Mac OS
Integrations
Xplenty
Xplenty
Fluentd
Fluentd
Looker
Looker
Chartio
Chartio
Treasure Data
Treasure Data
MySQL
MySQL

What are some alternatives to Google BigQuery, Sequel Pro?

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.

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.

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 Redshift

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

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.

DBeaver

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.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

dbForge SQL Complete

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.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

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