Software Alternatives & Reviews

Google BigQuery Reviews

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

Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you see what people think about Google BigQuery and what they use it for.
  • 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: dev.to / 7 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: dev.to / 26 days ago
  • Google Associate Cloud Engineer Exam Questions Part 1
    Answer: B Https://cloud.google.com/bigquery/. - Source: dev.to / 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: dev.to / 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: dev.to / 4 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 / 6 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 / 7 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 / 7 months ago
  • 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 / 8 months ago

External sources with reviews and comparisons of Google BigQuery

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.

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