Software Alternatives, Accelerators & Startups

Google BigQuery VS Burst Statistics

Compare Google BigQuery VS Burst Statistics and see what are their differences

Google BigQuery logo Google BigQuery

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

Burst Statistics logo Burst Statistics

Privacy-Friendly Analytics for WordPress
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Burst Statistics Landing page
    Landing page //
    2022-11-25

Get detailed insights into visitors’ behaviour with Burst Statistics, the privacy-friendly analytics dashboard from Really Simple Plugins.

Features

*Essential Metrics: Pageviews, Visitors, Sessions, Time on Page and Referrers. *Privacy-friendly: Locally hosted, and anonymized data in collaboration with Complianz. *Cookieless Tracking: Get data based on anonymous parameters without storing data in browsers. *Optimized: Built for performance and data minimization. *Flexibility: Have your own idea how Bounce Rate should be measured? Configure your own metrics. *Open-Source: We see our users as collaborators, so please feel free to use the below links to help us out building the best analytics tool for WordPress.

Burst Statistics

$ Details
free $29.0 / Annually (1 website)
Platforms
Wordpress
Release Date
2022 February

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

Burst Statistics videos

Privacy-Friendly Google Analytics Alternative for WordPress - Burst Statistics

Category Popularity

0-100% (relative to Google BigQuery and Burst Statistics)
Data Dashboard
100 100%
0% 0
Web Analytics
0 0%
100% 100
Big Data
100 100%
0% 0
Analytics
0 0%
100% 100

Questions and Answers

As answered by people managing Google BigQuery and Burst Statistics.

How would you describe your primary audience?

Burst Statistics's answer:

Every WordPress user with the desire to gather essential site statistics, while still respecting international privacy legislation like the GDPR and CCPA.

Why should a person choose your product over its competitors?

Burst Statistics's answer:

Gathered data is stored on your server, Burst Statistics (or anyone else) has no access to your data. Furthermore, Burst is developed by privacy-specialists and respects international privacy legislation.

What's the story behind your product?

Burst Statistics's answer:

Burst Statistics is developed by the developers of Complianz GDPR/CCPA Cookie Consent, as an alternative for Google Analytics and other tools that are not built with privacy in mind. Data about your website and visitors should be yours, and not accessible by anyone else.

Which are the primary technologies used for building your product?

Burst Statistics's answer:

WordPress, PHP, JavaScript, React.

Who are some of the biggest customers of your product?

Burst Statistics's answer:

Cookiedatabase.org

What makes your product unique?

Burst Statistics's answer:

  • Fully integrated with WordPress
  • You own all data. No data is saved or sent to a third-party
  • Fully compliant with GDPR and other privacy regulations
  • Real-time, comprehensive insights with a user-friendly interface
  • Get understandable data without compromising user privacy

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 Burst Statistics

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.

Burst Statistics Reviews

We have no reviews of Burst Statistics yet.
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Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Burst Statistics. While we know about 35 links to Google BigQuery, we've tracked only 1 mention of Burst Statistics. 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 / 9 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 / 9 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 / 10 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: 11 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: 11 months ago
View more

Burst Statistics mentions (1)

What are some alternatives?

When comparing Google BigQuery and Burst Statistics, 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?

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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.

Matomo - Matomo is an open-source web analytics platform

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.

Counter - Counting characters and words in the text layer.