Software Alternatives, Accelerators & Startups

Google BigQuery VS Instabug

Compare Google BigQuery VS Instabug and see what are their differences

Google BigQuery logo Google BigQuery

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

Instabug logo Instabug

The top apps in the world rely on Instabug for beta testing, user engagement and crash reporting.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Instabug Landing page
    Landing page //
    2023-04-30

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

Instabug videos

In-App Feedback and Bug Reporting with Instabug | The Xamarin Show

Category Popularity

0-100% (relative to Google BigQuery and Instabug)
Data Dashboard
100 100%
0% 0
Error Tracking
0 0%
100% 100
Big Data
100 100%
0% 0
Exception Monitoring
0 0%
100% 100

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 Instabug

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.

Instabug Reviews

Instabug vs. Crashlytics
Don’t settle for less when it comes to your app’s quality. Make sure you are getting the right feedback at the right time. Instabug’s crash reporting and suite of other products are the best tools for the job. Get detailed information sent with your crash reports to easily diagnose and fix issues so your team can move fast and deliver a pleasant experience for your...
Source: instabug.com

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Instabug. While we know about 35 links to Google BigQuery, we've tracked only 3 mentions of Instabug. 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: 12 months ago
View more

Instabug mentions (3)

  • Top 10 tools for (not only) multilingual Android development
    Read more about the features and integration on the official webpage https://instabug.com/. - Source: dev.to / about 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Instabug — A comprehensive bug reporting and in-app feedback SDK for mobile apps. Free plan up to 1 app and 1 member. - Source: dev.to / almost 3 years ago
  • 10 COMMON MOBILE APP TESTING CHALLENGES FROM A TESTER’S PERSPECTIVE
    With more information provided in the releases provided by automated CI/CD and by utilizing mobile app performance suites like Instabug, which provide real-time insights on all aspects of a mobile app to empower mobile teams along with the feedback tools that significantly improves the testing process, the impact and root cause analyses are done in a much better-informed manner, reducing the time required to... - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Google BigQuery and Instabug, 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?

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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.

Bugsee - See video, network & logs leading up to bugs or crashes

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.

Buglife - Seriously awesome bug reporting for iOS apps