Software Alternatives, Accelerators & Startups

Geekbot VS Google BigQuery

Compare Geekbot VS Google BigQuery and see what are their differences

Geekbot logo Geekbot

Discover how to organise asynchronous stand up meetings in Slack and keep your team synced using Geekbot. Start your free trial today!

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Geekbot Landing page
    Landing page //
    2023-10-09
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Geekbot videos

First look of Geekbot for asynchronous stand up meetings

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

Category Popularity

0-100% (relative to Geekbot and Google BigQuery)
Appointment Scheduling
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Project Management
100 100%
0% 0
Big Data
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 Geekbot and Google BigQuery

Geekbot Reviews

Meet Sup, the affordable alternative to Geekbot.
Sup's features, customisation, and pricing make it the #1 Geekbot alternative for teams that want to automate their meetings.
Source: www.sup.today

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

Based on our record, Google BigQuery should be more popular than Geekbot. It has been mentiond 35 times since March 2021. 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.

Geekbot mentions (13)

  • Automating standups using GPT4 and Github APIs
    We think GitReport could replace standup apps like Geekbot. So we're making it into a product. More Git features are coming, like tracking issues and pull requests. Source: 8 months ago
  • Agile / Scrum
    We run standups every day, however only 2x of them are a Teams call. The other 3 are run using a tool called Geekbot (Yes scrum masters do hate this) which is basically just a chatbot that sends you the standard standup questions and you can answer whenever you feel like it. This has helped our team heaps due to having such a huge mix of people in our team (Cloud Eng, Database Eng, Software Eng, Network Eng) that... Source: 11 months ago
  • What do you really think of your daily standup?
    My new job recently pulled in https://geekbot.com/ to handle stand ups. Answer a couple basic questions when you login, and they’re all sent to a central channel. I’m not big on that type of communication in general, but it takes maybe 30 seconds each morning. Source: about 1 year ago
  • As an IC, is there anything I can do about super cheerful team members using up meetings time?
    We use Geekbot to help standups. The feedback from each dev goes into a channel, then we talk about things that need to be addressed or things we're working on. Source: over 1 year ago
  • Scrum Has Failed the Developers
    Back in 2005, I remember working on startups running on Scrum principles. It worked well at the time, we where able to ship, grow the team, and move forward with a nice few-features-per-week cadence, working remotely, on a small team; less than 10. Tt always worked fine, but very slow, as all-dev-things were at the time. I worked with ActiveColab in 2007, Skype 2007, Yammer 2009, Trello 2011, Pivotal Tracker 2013,... - Source: Hacker News / over 1 year ago
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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

What are some alternatives?

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

Standuply - Run daily standup meetings and track your metrics in Slack

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

Sup! Standup Bot - The complete stand-up and follow-up bot

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.

Chili Piper - Chili Piper is an intelligent calendar for Sales teams, to book their own meetings or set appointments for other teams.

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.