Software Alternatives & Reviews

Segment VS Google BigQuery

Compare Segment VS Google BigQuery and see what are their differences

Segment logo Segment

We make customer data simple.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Segment Landing page
    Landing page //
    2023-10-08
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Segment videos

What is Segment? How to Implement and Use It.

More videos:

  • Review - What's In My Bag: Chrome Industries MXD Segment

Google BigQuery videos

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

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Category Popularity

0-100% (relative to Segment and Google BigQuery)
Analytics
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Data Integration
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using Segment 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 Segment and Google BigQuery

Segment Reviews

Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Twilio in 2020, Segment is a Customer Data Platform (CDP) that offers real-time data connectivity and efficient data. Segment's core focus is gathering customer data through event tracking. It has unique features that allow you to segment your customers, and create personas and audiences for better targeting.
Source: weld.app
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Segment’s API has native library sources for every language, and helps record customer data from sources such as websites, mobile, apps or servers. It helps optimize analytics by piping raw customer data into data warehouses for further exploration and advanced analysis.
Source: blog.panoply.io

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

Segment might be a bit more popular than Google BigQuery. We know about 40 links to it since March 2021 and only 35 links to Google BigQuery. 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.

Segment mentions (40)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Segment.com — Hub to translate and route events to other third-party services. 100,000 events/month free. - Source: dev.to / 3 months ago
  • We made a tool to detect big signups to your SaaS app. Want to be a beta tester?
    Our app – Upollo – connects with your app event data (like Segment) and payment data (like Stripe) to analyze your users and instantly figure out if someone is an important player in your industry. We also help you convert more users, reduce churn, and expand single seats to teams within a company. We're SOC 2 certified and we take data security very seriously. Source: 5 months ago
  • Ledger Live has massive user tracking embedded in it. Here's a fork with all 3rd party trackers removed. See link in comments for context
    Api.segment.io is an API for Twilio for data collection. Source: 5 months ago
  • Best Workflow Automation Software to Streamline Your Development Process
    Twilio Segment caters more to marketing and analytics use cases, offering a customer data platform (CDP) to manage customer data across various channels. Twilio Segment provides comprehensive customer data management by taking complex data from your applications, transforming it into a unified source, and subsequently linking it to various platforms. While its primary focus is on marketing, it can be integrated... - Source: dev.to / 8 months ago
  • What is the most overpriced marketing tech on the market?
    I am working with our marketing team to implement segment.com into the rest of our technology stack. However I personally think that segment is EXTREMELY overpriced (at least for what we use it for). Source: 11 months 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 / 8 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 / 8 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 / 9 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: 10 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: 10 months ago
View more

What are some alternatives?

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

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.

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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.

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

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.