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Anypoint MQ VS Google BigQuery

Compare Anypoint MQ VS Google BigQuery and see what are their differences


With Anypoint MQ, perform advanced asynchronous messaging scenarios — such as queueing and pub/sub — with hosted and managed cloud message queues and exchanges.

A fully managed data warehouse for large-scale data analytics.
Anypoint MQ Landing Page
Anypoint MQ Landing Page
Google BigQuery Landing Page
Google BigQuery Landing Page

Anypoint MQ details

Categories
Monitoring Tools Stream Processing Data Integration
Website mulesoft.com  

Google BigQuery details

Categories
Data Dashboard Database Tools Big Data
Website cloud.google.com  

Anypoint MQ videos

Anypoint MQ Introduction - Video 1

More videos:

  • - Anypoint MQ - Getting Started - Video 2

Google BigQuery videos

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

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Category Popularity

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you identify which product is more popular and what people think of it.

Anypoint MQ mentions

We have not tracked any mentions of Anypoint MQ yet. Tracking of Anypoint MQ recommendations started around Mar 2021.

Google BigQuery mentions

  • Using BigQuery Public Datasets to research the impact of COVID-19 🦠
    BigQuery is a serverless big data warehouse available as a part of Google Cloud Platform. It's highly scalable, meaning that it can process tiny datasets as well as petabytes of data in seconds, using more cloud capacity as needed. (However, due to BigQuery's distributed architecture, you can't possibly expect it to have a sub-second query response time.). - Source: dev.to / 2 months ago
  • Scraping repositories related to a university
    Alternatively, you can look into Google Cloud BigQuery (https://cloud.google.com/bigquery). There is a limit on how much data that can be processed per month with a free account although they do provide a $300 credit. They have a public GitHub repos data set here: https://console.cloud.google.com/marketplace/product/github/github-repos. This is an example on how the dataset can be used:... - Source: Reddit / 2 months ago
  • Google Cloud just posted this on their Twitter
    "Google Cloud’s databases and analytics products such as BigQuery, Dataflow, Pub/Sub and Firestore brought Theta Labs unlimited scale and performance, allowing them to: ...". - Source: Reddit / about 2 months ago
  • Analytics Projects in Programmatic Space
    Https://cloud.google.com/bigquery#section-8 - Store all programmatic log levels on Google Bigquery, Build and deploy a propensity to purchase a model for predicting customer purchasing behavior using BigQuery ML and AI Platform. - Source: Reddit / 20 days ago

What are some alternatives?

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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

TIBCO Enterprise Message Service - Rapid, seamless, secure, reliable, JMS message delivery

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.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

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.

User reviews

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

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