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Google BigQuery VS Sqitch

Compare Google BigQuery VS Sqitch and see what are their differences

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

Sqitch logo Sqitch

Sqitch is a standalone database change management application without opinions about your database engine, development environment, or application framework.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Sqitch Landing page
    Landing page //
    2021-07-20

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Sqitch videos

No Sqitch videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Google BigQuery and Sqitch)
Data Dashboard
100 100%
0% 0
Development
0 0%
100% 100
Big Data
100 100%
0% 0
Online Services
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google BigQuery and Sqitch

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Sqitch Reviews

We have no reviews of Sqitch yet.
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Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Sqitch. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 12 months ago
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Sqitch mentions (17)

  • Ask HN: What tool(s) do you use to code review and deploy SQL scripts?
    We use https://sqitch.org/ and we’re fairly happy with it. Sqitch manages the files to deploy which are applied fits to a local database. We use GitHub actions for deployment and database migrations are just one step of the pipeline. The step invokes sqitch deploy which runs all the pending migration files. Then, all the approval process is standard for the environment. We require approvals in pull requests... - Source: Hacker News / 2 months ago
  • PostgREST: Providing HTML Content Using Htmx
    I'm experimenting with it right now using Squitch [1] to make maintenance easier. It still feels like a hack and I also still have my doubts about the viability of this for real-world use. It's fun though and I'm learning about all kinds of advanced Postgres features. [1] https://sqitch.org/. - Source: Hacker News / 6 months ago
  • Announcing codd - a tool to apply postgres SQL migrations
    How does it compare with other SQL-based migration tools like Sqitch? Source: over 1 year ago
  • Ask HN: How do you test SQL?
    Yup, same. Last time I set this up I used Sqitch¹ for migrations, which encourages you to write tests for each migration; caught a lot of bugs early that way, all in a local-first dev environment. Worked especially well for Postgres since plpgsql makes it easy to write tests more imperatively. ¹: https://sqitch.org/. - Source: Hacker News / over 1 year ago
  • Conceptually how do you handle deploys of SQL related things (table definition, scripts, stored procs etc) in a CI/CD way?
    Sqitch. DB migrations for multiple data stores without a proprietary syntax for DB updates. Git-aware. Integrated unit testing. Https://sqitch.org/ Https://youtu.be/wF4PEe8HD7k. Source: over 1 year ago
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What are some alternatives?

When comparing Google BigQuery and Sqitch, you can also consider the following products

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Flyway - Flyway is a database migration tool.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Liquibase - Database schema change management and release automation solution.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

InterBase - InterBase is an ultra-fast, innovative, embeddable SQL database with commercial-grade data security, change synchronization, and disaster recovery options.