Software Alternatives & Reviews

Hue VS Google BigQuery

Compare Hue VS Google BigQuery and see what are their differences

Unlimited design for startups to enterprises

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

Hue details

Data Dashboard Database Tools Big Data Analytics

Google BigQuery details

Data Dashboard Database Tools Big Data

Hue videos

Hue Review

More videos:

  • - Hue Might Look Lovely, But It Will Make You Scream
  • - Are Philips Hue Still Worth It? 2020 Basics and Review of Bulbs and Accessories

Google BigQuery videos

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Category Popularity

0-100% (relative to Hue and Google BigQuery)


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

Hue Reviews

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Google BigQuery Reviews

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 Hue. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Hue mentions (1)

  • best free sql query assistance tool
    There are other browser based tools, e.g. Hue (which needs a Linux server). - Source: Reddit / about 2 months ago

Google BigQuery mentions (9)

  • Your Guide to Creating a Warehouse-First Data Analytics Stack
    BigQuery is a serverless, highly scalable, and cost-effective multi-cloud data warehouse built by Google Cloud. It is based on Google's internal column-based data processing technology, "Dremel", and therefore is able to handle both structured and semi-structured data. It is also a fully managed data warehouse and can automatically allocate computing and storage resources as you need them. - Source: / 5 days ago
  • Start Building a Better CDP for Free With RudderStack Cloud Free
    RudderStack does not persist any of your customer data. RudderStack builds your CDP on your data warehouse, with support for cloud data warehouses like Amazon Redshift, Google BigQuery, and Snowflake. No more paying your CDP vendor a premium to store your data. No more concerns about whether your CDP vendor is keeping your customer data private and secure. No more crossing your fingers and hoping the BI, ML, or AI... - Source: / 24 days ago
  • Google Associate Cloud Engineer Exam Questions Part 1
    Answer: B Https:// - Source: / about 2 months ago
  • The Data Trinity
    The storage component is simply where the data lives after extraction and loading. The most common artifact is a data warehouse or data lake depending on conceptual design. The most common services in this category are AWS Redshift, Google cloud Big query and Snowflake. - Source: / 3 months ago
  • Utilizing BigQuery as a Data Warehouse in a distributed application
    To interact with BigQuery, first, we need to create a BigQuery account. For that, simply navigate to BigQuery in Google Cloud Platform, sign up for a GCP account, and create a new project there. We will be utilizing BigQuery within this project. - Source: / 3 months ago
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What are some alternatives?

When comparing Hue and Google BigQuery, 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?

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.

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.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Rakam - Custom analytics platform

Hadoop HDFS - The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

User reviews

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