Software Alternatives, Accelerators & Startups

RethinkDB VS Google BigQuery

Compare RethinkDB VS Google BigQuery and see what are their differences

RethinkDB logo RethinkDB

The open-source database for the realtime web

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • RethinkDB Landing page
    Landing page //
    2021-10-13
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

RethinkDB videos

Mike Glukhovsky - RethinkDB Year in Review 2015

More videos:

  • Review - RethinkDB for Windows: developer preview
  • Review - Michael Glukhovsky - Advancing the realtime web with RethinkDB

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

Category Popularity

0-100% (relative to RethinkDB and Google BigQuery)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using RethinkDB and Google BigQuery. For example, how are they different and which one is better?
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Reviews

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

RethinkDB Reviews

12 Best Open-source Database Backend Server and Google Firebase Alternatives
RethinkDB is an open-source real-time database engine for creating modern reactive apps. It features a rich dashboard with real-time analytics and graphs, data explorer, simple learning curve, rich data models and queries with Geospatial queries support, and a large set of administration tools.The official binary packages for RethinkDB are available for: Ubuntu, Debian,...
Source: medevel.com
9 Best MongoDB alternatives in 2019
RethinkDB is the open-source, scalable DBMS system. It helps you to makes real-time building apps dramatically easier. This DBMS tool offers a flexible query language, intuitive operations, monitoring APIs, and is easy to set up and learn.
Source: www.guru99.com

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.

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than RethinkDB. 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.

RethinkDB mentions (12)

  • Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
    Throwing RethinkDB in the mix as well. https://rethinkdb.com/. - Source: Hacker News / 2 months ago
  • You forget RethinkDB, it's a shame
    I've been poking around, testing and breaking database servers for a long time (more than 20 years today). But a few years ago I came across a jewel, the grail, one of the best solutions available. Under the radar, shunned for whatever reason, RethinkDB is nonetheless one of the finest database server projects I've ever tested. - Source: dev.to / about 1 year ago
  • Ask HN: Anyone Using RethinkDB in Production?
    RethinkDB[0] looks like a "too good to be true" type of database. Anyone using it in production? What is your experience like? What are the pros and cons? [0] https://rethinkdb.com. - Source: Hacker News / about 1 year ago
  • Help wanted for a project idea - A multi-room live chat experience, similar to Twitch chat's functionality
    Since you’re not new to the field you might want to peek https://rethinkdb.com/ since it got picked up as an open source project. Source: almost 2 years ago
  • Python, the usefulness of "dataclass"
    A Data Objects represents data which can be saved inside a database. This concept is in the heart of SQLAlchemy, but as the name should be obvious: it's for SQL Database (in general). Today, there are now document databases too (like MongoDB, ArangoDB, RethinkDB that I love so much, or even PostgreSQL). So, a "data" is like a "structured and typed document" that you save "as is". That's not the same paradigm, not... - Source: dev.to / almost 2 years ago
View more

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
View more

What are some alternatives?

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication

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.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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.